Ben Swallow

498 total citations
27 papers, 188 citations indexed

About

Ben Swallow is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Ben Swallow has authored 27 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Modeling and Simulation, 9 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Ben Swallow's work include COVID-19 epidemiological studies (10 papers), Data-Driven Disease Surveillance (6 papers) and Influenza Virus Research Studies (5 papers). Ben Swallow is often cited by papers focused on COVID-19 epidemiological studies (10 papers), Data-Driven Disease Surveillance (6 papers) and Influenza Virus Research Studies (5 papers). Ben Swallow collaborates with scholars based in United Kingdom, United States and Brazil. Ben Swallow's co-authors include Jasmina Panovska‐Griffiths, Mike P. Toms, S. T. Buckland, Lorenzo Pellis, Ruth King, Daniel Antunes Maciel Villela, Christopher E. Overton, Glenn Marion, Francesca Scarabel and Matthew Quaife and has published in prestigious journals such as Journal of Theoretical Biology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Ben Swallow

23 papers receiving 184 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ben Swallow United Kingdom 8 93 48 43 22 21 27 188
Justine Allpress United States 8 107 1.2× 33 0.7× 94 2.2× 10 0.5× 23 1.1× 12 313
Thomas Neyens Belgium 13 75 0.8× 37 0.8× 66 1.5× 68 3.1× 64 3.0× 52 421
Yannick Vandendijck Belgium 9 62 0.7× 41 0.9× 178 4.1× 7 0.3× 32 1.5× 22 256
Yansha Guo China 6 45 0.5× 97 2.0× 65 1.5× 20 0.9× 33 1.6× 12 368
Hannah Fry United Kingdom 8 27 0.3× 31 0.6× 49 1.1× 9 0.4× 21 1.0× 13 284
Johannes Bracher Germany 11 149 1.6× 36 0.8× 111 2.6× 9 0.4× 41 2.0× 19 345
Chawarat Rotejanaprasert Thailand 10 99 1.1× 40 0.8× 82 1.9× 11 0.5× 27 1.3× 37 276
Eamon B. O’Dea United States 10 86 0.9× 37 0.8× 21 0.5× 11 0.5× 35 1.7× 16 222
Su Yun Kang Australia 7 38 0.4× 14 0.3× 24 0.6× 15 0.7× 17 0.8× 11 184
Sangwon Hyun United States 7 178 1.9× 31 0.6× 186 4.3× 8 0.4× 12 0.6× 11 303

Countries citing papers authored by Ben Swallow

Since Specialization
Citations

This map shows the geographic impact of Ben Swallow's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ben Swallow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Swallow more than expected).

Fields of papers citing papers by Ben Swallow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Swallow. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ben Swallow. The network helps show where Ben Swallow may publish in the future.

Co-authorship network of co-authors of Ben Swallow

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Swallow. A scholar is included among the top collaborators of Ben Swallow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ben Swallow. Ben Swallow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Xiqi, et al.. (2025). Advances in approximate Bayesian inference for models in epidemiology. Epidemics. 53. 100855–100855. 1 indexed citations
2.
Gunn, Eldon A., et al.. (2025). Gaussian process modelling of infectious diseases using the Greta software package and GPUs. Journal of Theoretical Biology. 616. 112278–112278.
3.
Swallow, Ben, et al.. (2025). Can pruning improve agent-based models’ calibration? An application to HPVsim. Journal of Theoretical Biology. 611. 112130–112130.
4.
Swallow, Ben, et al.. (2024). Bayesian Inference for Stochastic Oscillatory Systems Using the Phase-Corrected Linear Noise Approximation. Bayesian Analysis. 21(1). 1 indexed citations
5.
Katikireddi, Srinivasa Vittal, Steven Kerr, Zoë Grange, et al.. (2024). Selecting the most informative positive and negative controls for self-controlled case series (SCCS): Rationale, approach, and lessons from studies investigating the safety of COVID-19 vaccines. Journal of Global Health. 14. 3037–3037. 1 indexed citations
6.
Sullivan, Christopher, Amanj Kurdi, Adeniyi Francis Fagbamigbe, et al.. (2024). Caveats in reporting of national vaccine uptake. Journal of Global Health. 14. 3006–3006.
7.
Summers, Ron W., Ben Swallow, Jonas Fridman, et al.. (2024). Irruptions of crossbills Loxia spp. in northern Europe – patterns and correlations with seed production by key and non‐key conifers. Ibis. 166(4). 1172–1183.
8.
Borgo, Rita, Hui Fang, Thomas Torsney-Weir, et al.. (2022). Development and Evaluation of Two Approaches of Visual Sensitivity Analysis to Support Epidemiological Modeling. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–11. 1 indexed citations
9.
Panovska‐Griffiths, Jasmina, Ben Swallow, Robert Hinch, et al.. (2022). Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2233). 20210315–20210315. 19 indexed citations
10.
Shadbolt, Nigel, Min Chen, Glenn Marion, et al.. (2022). The challenges of data in future pandemics. Epidemics. 40. 100612–100612. 16 indexed citations
11.
Kretzschmar, Mirjam, Ben Ashby, Elizabeth Fearon, et al.. (2022). Challenges for modelling interventions for future pandemics. Epidemics. 38. 100546–100546. 38 indexed citations
12.
Swallow, Ben, Paul Birrell, Mark A. Burgman, et al.. (2022). Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling. Epidemics. 38. 100547–100547. 21 indexed citations
13.
Marion, Glenn, Valerie Isham, Denis Mollison, et al.. (2022). Modelling: Understanding pandemics and how to control them. Epidemics. 39. 100588–100588. 11 indexed citations
14.
Parsaeian, Mahboubeh, et al.. (2022). The Impact of Cancer Incidence on Catastrophic Health Expenditure in Iran with a Bayesian Spatio-Temporal Analysis. Iranian Journal of Public Health. 51(2). 438–449. 1 indexed citations
15.
Challenor, Peter, Rita Borgo, Thibaud Porphyre, et al.. (2022). Complex model calibration through emulation, a worked example for a stochastic epidemic model. Epidemics. 39. 100574–100574. 5 indexed citations
16.
Swallow, Ben, et al.. (2022). Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets. Australian & New Zealand Journal of Statistics. 64(2). 313–337. 1 indexed citations
17.
Swallow, Ben, et al.. (2022). PCP-Ed: Parallel coordinate plots for ensemble data. Visual Informatics. 7(1). 56–65. 4 indexed citations
18.
Challenor, Peter, Chris Dent, Valerie Isham, et al.. (2021). Challenges on the interaction of models and policy for pandemic control. Epidemics. 37. 100499–100499. 14 indexed citations
19.
Swallow, Ben, et al.. (2021). Tracking the national and regional COVID-19 epidemic status in the UK using directed Principal Component Analysis. arXiv (Cornell University). 1 indexed citations
20.
Swallow, Ben, et al.. (2020). Parallel tempering as a mechanism for facilitating inference in hierarchical hidden Markov models. arXiv (Cornell University). 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Justine Allpress Breakdown of academic impact, for papers by Thomas Neyens Breakdown of academic impact, for papers by Yannick Vandendijck Breakdown of academic impact, for papers by Yansha Guo Breakdown of academic impact, for papers by Hannah Fry Breakdown of academic impact, for papers by Johannes Bracher Breakdown of academic impact, for papers by Chawarat Rotejanaprasert Breakdown of academic impact, for papers by Eamon B. O’Dea Breakdown of academic impact, for papers by Su Yun Kang Breakdown of academic impact, for papers by Sangwon Hyun
Rankless by CCL
2026