2024

Hunter, E. and Enright, J. (2024) The Firefighter Game with State-varying Cost Functions. In: 13th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024), Istanbul, Turkey, 10-12 December 2024, (Accepted for Publication)

Enright, J. , Hand, S. D., Larios-Jones, L. and Meeks, K. (2024) Structural Parameters for Dense Temporal Graphs. In: 49th International Symposium on Mathematical Foundations of Computer Science, Bratislava, Slovakia, 26-30 Aug 2024, 52:1-52:15. ISBN 9783959773355 (doi: 10.4230/LIPIcs.MFCS.2024.52)

Enright, J. , Lee, D. , Meeks, K. , Sylvester, J. and Pettersson, W. (2024) The complexity of finding and enumerating optimal subgraphs to represent spatial correlation. Algorithmica, (doi: 10.1007/s00453-024-01256-x) (Early Online Publication)

2023

Trombetta, E. , Jakubiak, S., Kutkova, S., Lipschutz, D., O’Hare, A. and Enright, J. A. (2023) A modeling study of the impact of treatment policies on the evolution of resistance in sea lice on salmon farms. PLoS ONE, 18(11), e0294708. (doi: 10.1371/journal.pone.0294708) (PMID:38019751) (PMCID:PMC10686416)

Hunter, E. T. P. , Enright, J. and Miller, A. A. (2023) Feasibility assessments of a dynamical approach to compartmental modelling on graphs: scaling limits and performance analysis. Theoretical Computer Science, 980, 114247. (doi: 10.1016/j.tcs.2023.114247)

Fraser, S. D.S. et al. (2023) Multidisciplinary ecosystem to study lifecourse determinants and prevention of early-onset burdensome multimorbidity (MELD-B) – protocol for a research collaboration. Journal of Multimorbidity and Comorbidity, 13, (doi: 10.1177/26335565231204544) (PMID:37766757) (PMCID:PMC10521301)

Catsis, S. et al. (2023) Process modelling of NHS cardiovascular waiting lists in response to the COVID-19 pandemic. BMJ Open, 13(7), e065622. (doi: 10.1136/bmjopen-2022-065622) (PMID:37474168)

Sulaimon, T. A., Chaters, G. L., Nyasebwa, O. M., Swai, E. S., Cleaveland, S. , Enright, J. , Kao, R. R. and Johnson, P. C.D. (2023) Modeling the effectiveness of targeting Rift Valley fever virus vaccination using imperfect network information. Frontiers in Veterinary Science, 10, 1049633. (doi: 10.3389/fvets.2023.1049633) (PMID:37456963) (PMCID:PMC10340087)

Ekwem, D., Enright, J. , Hopcraft, J. G. C. , Buza, J., Shirima, G., Shand, M. , Mwajombe, J. K., Bett, B., Reeve, R. and Lembo, T. (2023) Local and wide-scale livestock movement networks inform disease control strategies in East Africa. Scientific Reports, 13, 9666. (doi: 10.1038/s41598-023-35968-x) (PMID:37316521) (PMCID:PMC10267211)

Enright, J. , Meeks, K. , Pettersson, W. and Sylvester, J. (2023) Cops and robbers on multi-layer graphs. In: Graph-Theoretic Concepts in Computer Science:49th International Workshop, WG 2023, Fribourg, Switzerland, June 28–30, 2023, Revised Selected Papers. Series: Lecture notes in computer science (14093). Springer: Cham. ISBN 9783031433795 (Accepted for Publication)

Enright, J. , Meeks, K. and Molter, H. (2023) Counting Temporal Paths. In: 40th International Symposium on Theoretical Aspects of Computer Science (STACS 2023), Hamburg, Germany, 07-10 Mar 2023, p. 30. (doi: 10.4230/LIPIcs.STACS.2023.30)

Colman, E., Puspitarani, G. A., Enright, J. and Kao, R. R. (2023) Ascertainment rate of SARS-CoV-2 infections from healthcare and community testing in the UK. Journal of Theoretical Biology, 558, 111333. (doi: 10.1016/j.jtbi.2022.111333) (PMID:36347306) (PMCID:PMC9636607)

Dangerfield, C. E. et al. (2023) Getting the most out of maths: How to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 response in the UK. Journal of Theoretical Biology, 557, 111332. (doi: 10.1016/j.jtbi.2022.111332) (PMID:36323393)

2022

Dykes, J. et al. (2022) Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210299. (doi: 10.1098/rsta.2021.0299) (PMID:35965467) (PMCID:PMC9376715)

Mitchell, S. N. et al. (2022) FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210300. (doi: 10.1098/rsta.2021.0300) (PMID:35965468) (PMCID:PMC9376726)

Nickbakhsh, S. et al. (2022) Genomic epidemiology of SARS-CoV-2 in a university outbreak setting and implications for public health planning. Scientific Reports, 12, 11735. (doi: 10.1038/s41598-022-15661-1) (PMID:35853960) (PMCID:PMC9296497)

Banks, C. J. et al. (2022) SCoVMod – a spatially explicit mobility and deprivation adjusted model of first wave COVID-19 transmission dynamics. Wellcome Open Research, 7, 161. (doi: 10.12688/wellcomeopenres.17716.1) (PMID:35865220) (PMCID:PMC9274017)

Hand, S. D., Enright, J. and Meeks, K. (2022) Making Life More Confusing for Firefighters. In: 11th International Conference on Fun with Algorithms (FUN 2022), Sicily, Italy, 30 May - 03 Jun 2022, ISBN 9783959772327 (doi: 10.4230/LIPIcs.FUN.2022.15)

Aggarwal, D. et al. (2022) Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission. Nature Communications, 13, 751. (doi: 10.1038/s41467-021-27942-w) (PMID:35136068) (PMCID:PMC8826310)

2021

Enright, J. et al. (2021) SARS-CoV-2 infection in UK university students: lessons from September-December 2020 and modelling insights for future student return. Royal Society Open Science, 8(8), 210310. (doi: 10.1098/rsos.210310) (PMID:34386249) (PMCID:PMC8334840)

Enright, J. , Meeks, K. , Mertzios, G. B. and Zamaraev, V. (2021) Deleting edges to restrict the size of an epidemic in temporal networks. Journal of Computer and System Sciences, 119, pp. 60-77. (doi: 10.1016/j.jcss.2021.01.007)

Akgün, Ö., Enright, J. , Jefferson, C., McCreesh, C. , Prosser, P. and Zschaler, S. (2021) Finding Subgraphs With Side Constraints. In: 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAOIR 2021), Vienna, Austria, 5-8 July 2021, pp. 348-364. ISBN 9783030782290 (doi: 10.1007/978-3-030-78230-6_22)

Barnetson, K. D., Burgess, A. C., Enright, J. , Howell, J., Pike, D. A. and Ryan, B. (2021) The firebreak problem. Networks, 77(3), pp. 372-382. (doi: 10.1002/net.21975)

Durrant, A., Markovic, M., Matthews, D., May, D., Leontidis, G. and Enright, J. (2021) How might technology rise to the challenge of data sharing in agri-food? Global Food Security, 28, 100493. (doi: 10.1016/j.gfs.2021.100493)

Enright, J. , Meeks, K. and Skerman, F. (2021) Assigning times to minimise reachability in temporal graphs. Journal of Computer and System Sciences, 115, pp. 169-186. (doi: 10.1016/j.jcss.2020.08.001)

Enright, J. , Lee, D. , Meeks, K. , Pettersson, W. and Sylvester, J. (2021) The complexity of finding optimal subgraphs to represent spatial correlation. In: Du, D.-Z., Du, D., Wu, C. and Xu, D. (eds.) Combinatorial Optimization and Applications. Series: Lecture Notes in Computer Science (13135). Springer, pp. 152-166. ISBN 9783030926809 (doi: 10.1007/978-3-030-92681-6_13)

Ruget, A.-S., Rossi, G., Pepler, P. T. , Beaunée, G., Banks, C. J., Enright, J. and Kao, R. R. (2021) Multi-species temporal network of livestock movements for disease spread. Applied Network Science, 6, 15. (doi: 10.1007/s41109-021-00354-x)

2020

Pschetz, L., Dixon, B., Pothong, K., Bailey, A., Glean, A., Soares, L. L. and Enright, J. A. (2020) Designing Distributed Ledger Technologies for Social Change. In: 2020 CHI Conference on Human Factors in Computing Systems (CHI '20), Honolulu, HI, USA, 25-30 Apr 2020, p. 237. ISBN 9781450367080 (doi: 10.1145/3313831.3376364)

2019

Enright, J. and Pergel, M. (2019) Recognising the overlap graphs of subtrees of restricted trees is hard. Acta Mathematica Universitatis Comenianae, 88(3), pp. 651-658.

Enright, J. and Kitaev, S. (2019) Polygon-circle and word-representable graphs. Electronic Notes in Discrete Mathematics, 71, pp. 3-8. (doi: 10.1016/j.endm.2019.02.001)

Enright, J. , Meeks, K. , Mertzios, G. B. and Zamaraev, V. (2019) Deleting Edges to Restrict the Size of an Epidemic in Temporal Networks. In: 44th International Symposium on Mathematical Foundations of Computer Science (MFCS 2019), Aachen, Germany, 26-30 Aug 2019, p. 57. ISBN 9783959771177 (doi: 10.4230/LIPIcs.MFCS.2019.57)

2018

Enright, J. and Kao, R. R. (2018) Epidemics on dynamic networks. Epidemics, 24, pp. 88-97. (doi: 10.1016/j.epidem.2018.04.003) (PMID:29907403)

Enright, J. and Meeks, K. (2018) Deleting edges to restrict the size of an epidemic: a new application for treewidth. Algorithmica, 80(6), pp. 1857-1889. (doi: 10.1007/s00453-017-0311-7)

Salvador, L.C.M. , Deason, M., Enright, J. , Bessell, R.R. and Kao, R.R. (2018) Risk-­based strategies for surveillance of bovine Tuberculosis infection in cattle for low risk areas in England and Scotland. Epidemiology and Infection, 146(1), pp. 107-118. (doi: 10.1017/S0950268817001935)

2017

Enright, J. and Stewart, L. (2017) Equivalence of the filament and overlap graphs of subtrees of limited trees. Discrete Mathematics and Theoretical Computer Science, 19(1), 20. (doi: 10.23638/DMTCS-19-1-20)

Enright, J.A. and O'Hare, A. (2017) Reconstructing disease transmission dynamics from animal movements and test data. Stochastic Environmental Research and Risk Assessment, 31(2), pp. 369-377. (doi: 10.1007/s00477-016-1354-z)

2016

Enright, J. and Kao, R. (2016) A fast algorithm for calculating an expected outbreak size on dynamic contagion networks. Epidemics, 16, pp. 56-62. (doi: 10.1016/j.epidem.2016.05.002) (PMID:27379615)

Enright, J. and Stewart, L. (2016) Games on interval and permutation graph representations. Theoretical Computer Science, 609(Part 1), pp. 87-103. (doi: 10.1016/j.tcs.2015.09.009)

Enright, J. and Faben, J. D. (2016) Building a Better Mouse Maze. In: 8th International Conference on Fun with Algorithms (FUN 2016), La Maddalena, Italy, 08-10 Jun 2016, 15:1-15:12. ISBN 9783959770057 (doi: 10.4230/LIPIcs.FUN.2016.15)

Enright, J. and Kao, R. R. (2016) A descriptive analysis of the growth of unrecorded interactions amongst cattle-raising premises in Scotland and their implications for disease spread. BMC Veterinary Research, 12(1), (doi: 10.1186/s12917-016-0652-5) (PMID:26911436) (PMCID:PMC4766605)

2015

Enright, J. and Kao, R. R. (2015) A few bad apples: a model of disease influenced agent behaviour in a heterogeneous contact environment. PLoS ONE, 10(3), e0118127. (doi: 10.1371/journal.pone.0118127) (PMID:25734661) (PMCID:PMC4348343)

Enright, J. and Meeks, K. (2015) Deleting Edges to Restrict the Size of an Epidemic: A New Application for Treewidth. In: 9th Annual International Conference on Combinatorial Optimization and Applications (COCOA'15), Houston,TX, USA, 18-20 Dec 2015, pp. 574-585. ISBN 9783319266268 (doi: 10.1007/978-3-319-26626-8_42)

2014

Enright, J. , Stewart, L. and Tardos, G. (2014) On list coloring and list homomorphism of permutation and interval graphs. SIAM Journal on Discrete Mathematics, 28(4), pp. 1675-1685. (doi: 10.1137/13090465X)

2011

Enright, J. and Kondrak, G. (2011) The Application of Chordal Graphs to Inferring Phylogenetic Trees of Languages. In: 5th International Joint Conference on Natural Language Processing, Chiang Mai, Thailand, 08-13 Nov 2011, pp. 545-552. ISBN 9789744665645

2008

Enright, J. and Rudnicki, P. (2008) Helly property for subtrees. Formalized Mathematics, 16(2), pp. 91-96. (doi: 10.2478/v10037-008-0013-3)

2007

Enright, J. and Stewart, L. (2007) Subtree filament graphs are subtree overlap graphs. Information Processing Letters, 104(6), pp. 228-232. (doi: 10.1016/j.ipl.2007.07.004)

Enright, J. and Kondrak, G. (2007) A Fast Method for Parallel Document Identification. In: Human Language Technologies 2007, Rochester, NY, USA, 22-27 Apr 2007, pp. 29-32.

Articles

Enright, J. , Lee, D. , Meeks, K. , Sylvester, J. and Pettersson, W. (2024) The complexity of finding and enumerating optimal subgraphs to represent spatial correlation. Algorithmica, (doi: 10.1007/s00453-024-01256-x) (Early Online Publication)

Trombetta, E. , Jakubiak, S., Kutkova, S., Lipschutz, D., O’Hare, A. and Enright, J. A. (2023) A modeling study of the impact of treatment policies on the evolution of resistance in sea lice on salmon farms. PLoS ONE, 18(11), e0294708. (doi: 10.1371/journal.pone.0294708) (PMID:38019751) (PMCID:PMC10686416)

Hunter, E. T. P. , Enright, J. and Miller, A. A. (2023) Feasibility assessments of a dynamical approach to compartmental modelling on graphs: scaling limits and performance analysis. Theoretical Computer Science, 980, 114247. (doi: 10.1016/j.tcs.2023.114247)

Fraser, S. D.S. et al. (2023) Multidisciplinary ecosystem to study lifecourse determinants and prevention of early-onset burdensome multimorbidity (MELD-B) – protocol for a research collaboration. Journal of Multimorbidity and Comorbidity, 13, (doi: 10.1177/26335565231204544) (PMID:37766757) (PMCID:PMC10521301)

Catsis, S. et al. (2023) Process modelling of NHS cardiovascular waiting lists in response to the COVID-19 pandemic. BMJ Open, 13(7), e065622. (doi: 10.1136/bmjopen-2022-065622) (PMID:37474168)

Sulaimon, T. A., Chaters, G. L., Nyasebwa, O. M., Swai, E. S., Cleaveland, S. , Enright, J. , Kao, R. R. and Johnson, P. C.D. (2023) Modeling the effectiveness of targeting Rift Valley fever virus vaccination using imperfect network information. Frontiers in Veterinary Science, 10, 1049633. (doi: 10.3389/fvets.2023.1049633) (PMID:37456963) (PMCID:PMC10340087)

Ekwem, D., Enright, J. , Hopcraft, J. G. C. , Buza, J., Shirima, G., Shand, M. , Mwajombe, J. K., Bett, B., Reeve, R. and Lembo, T. (2023) Local and wide-scale livestock movement networks inform disease control strategies in East Africa. Scientific Reports, 13, 9666. (doi: 10.1038/s41598-023-35968-x) (PMID:37316521) (PMCID:PMC10267211)

Colman, E., Puspitarani, G. A., Enright, J. and Kao, R. R. (2023) Ascertainment rate of SARS-CoV-2 infections from healthcare and community testing in the UK. Journal of Theoretical Biology, 558, 111333. (doi: 10.1016/j.jtbi.2022.111333) (PMID:36347306) (PMCID:PMC9636607)

Dangerfield, C. E. et al. (2023) Getting the most out of maths: How to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 response in the UK. Journal of Theoretical Biology, 557, 111332. (doi: 10.1016/j.jtbi.2022.111332) (PMID:36323393)

Dykes, J. et al. (2022) Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210299. (doi: 10.1098/rsta.2021.0299) (PMID:35965467) (PMCID:PMC9376715)

Mitchell, S. N. et al. (2022) FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210300. (doi: 10.1098/rsta.2021.0300) (PMID:35965468) (PMCID:PMC9376726)

Nickbakhsh, S. et al. (2022) Genomic epidemiology of SARS-CoV-2 in a university outbreak setting and implications for public health planning. Scientific Reports, 12, 11735. (doi: 10.1038/s41598-022-15661-1) (PMID:35853960) (PMCID:PMC9296497)

Banks, C. J. et al. (2022) SCoVMod – a spatially explicit mobility and deprivation adjusted model of first wave COVID-19 transmission dynamics. Wellcome Open Research, 7, 161. (doi: 10.12688/wellcomeopenres.17716.1) (PMID:35865220) (PMCID:PMC9274017)

Aggarwal, D. et al. (2022) Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission. Nature Communications, 13, 751. (doi: 10.1038/s41467-021-27942-w) (PMID:35136068) (PMCID:PMC8826310)

Enright, J. et al. (2021) SARS-CoV-2 infection in UK university students: lessons from September-December 2020 and modelling insights for future student return. Royal Society Open Science, 8(8), 210310. (doi: 10.1098/rsos.210310) (PMID:34386249) (PMCID:PMC8334840)

Enright, J. , Meeks, K. , Mertzios, G. B. and Zamaraev, V. (2021) Deleting edges to restrict the size of an epidemic in temporal networks. Journal of Computer and System Sciences, 119, pp. 60-77. (doi: 10.1016/j.jcss.2021.01.007)

Barnetson, K. D., Burgess, A. C., Enright, J. , Howell, J., Pike, D. A. and Ryan, B. (2021) The firebreak problem. Networks, 77(3), pp. 372-382. (doi: 10.1002/net.21975)

Durrant, A., Markovic, M., Matthews, D., May, D., Leontidis, G. and Enright, J. (2021) How might technology rise to the challenge of data sharing in agri-food? Global Food Security, 28, 100493. (doi: 10.1016/j.gfs.2021.100493)

Enright, J. , Meeks, K. and Skerman, F. (2021) Assigning times to minimise reachability in temporal graphs. Journal of Computer and System Sciences, 115, pp. 169-186. (doi: 10.1016/j.jcss.2020.08.001)

Ruget, A.-S., Rossi, G., Pepler, P. T. , Beaunée, G., Banks, C. J., Enright, J. and Kao, R. R. (2021) Multi-species temporal network of livestock movements for disease spread. Applied Network Science, 6, 15. (doi: 10.1007/s41109-021-00354-x)

Enright, J. and Pergel, M. (2019) Recognising the overlap graphs of subtrees of restricted trees is hard. Acta Mathematica Universitatis Comenianae, 88(3), pp. 651-658.

Enright, J. and Kitaev, S. (2019) Polygon-circle and word-representable graphs. Electronic Notes in Discrete Mathematics, 71, pp. 3-8. (doi: 10.1016/j.endm.2019.02.001)

Enright, J. and Kao, R. R. (2018) Epidemics on dynamic networks. Epidemics, 24, pp. 88-97. (doi: 10.1016/j.epidem.2018.04.003) (PMID:29907403)

Enright, J. and Meeks, K. (2018) Deleting edges to restrict the size of an epidemic: a new application for treewidth. Algorithmica, 80(6), pp. 1857-1889. (doi: 10.1007/s00453-017-0311-7)

Salvador, L.C.M. , Deason, M., Enright, J. , Bessell, R.R. and Kao, R.R. (2018) Risk-­based strategies for surveillance of bovine Tuberculosis infection in cattle for low risk areas in England and Scotland. Epidemiology and Infection, 146(1), pp. 107-118. (doi: 10.1017/S0950268817001935)

Enright, J. and Stewart, L. (2017) Equivalence of the filament and overlap graphs of subtrees of limited trees. Discrete Mathematics and Theoretical Computer Science, 19(1), 20. (doi: 10.23638/DMTCS-19-1-20)

Enright, J.A. and O'Hare, A. (2017) Reconstructing disease transmission dynamics from animal movements and test data. Stochastic Environmental Research and Risk Assessment, 31(2), pp. 369-377. (doi: 10.1007/s00477-016-1354-z)

Enright, J. and Kao, R. (2016) A fast algorithm for calculating an expected outbreak size on dynamic contagion networks. Epidemics, 16, pp. 56-62. (doi: 10.1016/j.epidem.2016.05.002) (PMID:27379615)

Enright, J. and Stewart, L. (2016) Games on interval and permutation graph representations. Theoretical Computer Science, 609(Part 1), pp. 87-103. (doi: 10.1016/j.tcs.2015.09.009)

Enright, J. and Kao, R. R. (2016) A descriptive analysis of the growth of unrecorded interactions amongst cattle-raising premises in Scotland and their implications for disease spread. BMC Veterinary Research, 12(1), (doi: 10.1186/s12917-016-0652-5) (PMID:26911436) (PMCID:PMC4766605)

Enright, J. and Kao, R. R. (2015) A few bad apples: a model of disease influenced agent behaviour in a heterogeneous contact environment. PLoS ONE, 10(3), e0118127. (doi: 10.1371/journal.pone.0118127) (PMID:25734661) (PMCID:PMC4348343)

Enright, J. , Stewart, L. and Tardos, G. (2014) On list coloring and list homomorphism of permutation and interval graphs. SIAM Journal on Discrete Mathematics, 28(4), pp. 1675-1685. (doi: 10.1137/13090465X)

Enright, J. and Rudnicki, P. (2008) Helly property for subtrees. Formalized Mathematics, 16(2), pp. 91-96. (doi: 10.2478/v10037-008-0013-3)

Enright, J. and Stewart, L. (2007) Subtree filament graphs are subtree overlap graphs. Information Processing Letters, 104(6), pp. 228-232. (doi: 10.1016/j.ipl.2007.07.004)

Book Sections

Enright, J. , Meeks, K. , Pettersson, W. and Sylvester, J. (2023) Cops and robbers on multi-layer graphs. In: Graph-Theoretic Concepts in Computer Science:49th International Workshop, WG 2023, Fribourg, Switzerland, June 28–30, 2023, Revised Selected Papers. Series: Lecture notes in computer science (14093). Springer: Cham. ISBN 9783031433795 (Accepted for Publication)

Enright, J. , Lee, D. , Meeks, K. , Pettersson, W. and Sylvester, J. (2021) The complexity of finding optimal subgraphs to represent spatial correlation. In: Du, D.-Z., Du, D., Wu, C. and Xu, D. (eds.) Combinatorial Optimization and Applications. Series: Lecture Notes in Computer Science (13135). Springer, pp. 152-166. ISBN 9783030926809 (doi: 10.1007/978-3-030-92681-6_13)

Conference Proceedings

Hunter, E. and Enright, J. (2024) The Firefighter Game with State-varying Cost Functions. In: 13th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024), Istanbul, Turkey, 10-12 December 2024, (Accepted for Publication)

Enright, J. , Hand, S. D., Larios-Jones, L. and Meeks, K. (2024) Structural Parameters for Dense Temporal Graphs. In: 49th International Symposium on Mathematical Foundations of Computer Science, Bratislava, Slovakia, 26-30 Aug 2024, 52:1-52:15. ISBN 9783959773355 (doi: 10.4230/LIPIcs.MFCS.2024.52)

Enright, J. , Meeks, K. and Molter, H. (2023) Counting Temporal Paths. In: 40th International Symposium on Theoretical Aspects of Computer Science (STACS 2023), Hamburg, Germany, 07-10 Mar 2023, p. 30. (doi: 10.4230/LIPIcs.STACS.2023.30)

Hand, S. D., Enright, J. and Meeks, K. (2022) Making Life More Confusing for Firefighters. In: 11th International Conference on Fun with Algorithms (FUN 2022), Sicily, Italy, 30 May - 03 Jun 2022, ISBN 9783959772327 (doi: 10.4230/LIPIcs.FUN.2022.15)

Akgün, Ö., Enright, J. , Jefferson, C., McCreesh, C. , Prosser, P. and Zschaler, S. (2021) Finding Subgraphs With Side Constraints. In: 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAOIR 2021), Vienna, Austria, 5-8 July 2021, pp. 348-364. ISBN 9783030782290 (doi: 10.1007/978-3-030-78230-6_22)

Pschetz, L., Dixon, B., Pothong, K., Bailey, A., Glean, A., Soares, L. L. and Enright, J. A. (2020) Designing Distributed Ledger Technologies for Social Change. In: 2020 CHI Conference on Human Factors in Computing Systems (CHI '20), Honolulu, HI, USA, 25-30 Apr 2020, p. 237. ISBN 9781450367080 (doi: 10.1145/3313831.3376364)

Enright, J. , Meeks, K. , Mertzios, G. B. and Zamaraev, V. (2019) Deleting Edges to Restrict the Size of an Epidemic in Temporal Networks. In: 44th International Symposium on Mathematical Foundations of Computer Science (MFCS 2019), Aachen, Germany, 26-30 Aug 2019, p. 57. ISBN 9783959771177 (doi: 10.4230/LIPIcs.MFCS.2019.57)

Enright, J. and Faben, J. D. (2016) Building a Better Mouse Maze. In: 8th International Conference on Fun with Algorithms (FUN 2016), La Maddalena, Italy, 08-10 Jun 2016, 15:1-15:12. ISBN 9783959770057 (doi: 10.4230/LIPIcs.FUN.2016.15)

Enright, J. and Meeks, K. (2015) Deleting Edges to Restrict the Size of an Epidemic: A New Application for Treewidth. In: 9th Annual International Conference on Combinatorial Optimization and Applications (COCOA'15), Houston,TX, USA, 18-20 Dec 2015, pp. 574-585. ISBN 9783319266268 (doi: 10.1007/978-3-319-26626-8_42)

Enright, J. and Kondrak, G. (2011) The Application of Chordal Graphs to Inferring Phylogenetic Trees of Languages. In: 5th International Joint Conference on Natural Language Processing, Chiang Mai, Thailand, 08-13 Nov 2011, pp. 545-552. ISBN 9789744665645

Enright, J. and Kondrak, G. (2007) A Fast Method for Parallel Document Identification. In: Human Language Technologies 2007, Rochester, NY, USA, 22-27 Apr 2007, pp. 29-32.