Swapnil Mishra

17.5k total citations · 1 hit paper
46 papers, 844 citations indexed

About

Swapnil Mishra is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Swapnil Mishra has authored 46 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Modeling and Simulation, 11 papers in Infectious Diseases and 7 papers in Epidemiology. Recurrent topics in Swapnil Mishra's work include COVID-19 epidemiological studies (17 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Pandemic Impacts (4 papers). Swapnil Mishra is often cited by papers focused on COVID-19 epidemiological studies (17 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Pandemic Impacts (4 papers). Swapnil Mishra collaborates with scholars based in United Kingdom, Denmark and Singapore. Swapnil Mishra's co-authors include Seth Flaxman, Samir Bhatt, H. Juliette T. Unwin, Thomas A. Mellan, Wray Buntine, Daniel J. Laydon, Axel Gandy, Oliver Ratmann, Neil M. Ferguson and Michaela Vollmer and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Swapnil Mishra

41 papers receiving 821 citations

Hit Papers

Estimating the effects of non-pharmaceutical intervention... 2020 2026 2022 2024 2020 100 200 300

Peers

Swapnil Mishra
Tamay Besiroglu United States
Nils Haug Austria
Sören Mindermann United Kingdom
Elma Dervić Austria
Ensheng Dong United States
Tamay Besiroglu United States
Swapnil Mishra
Citations per year, relative to Swapnil Mishra Swapnil Mishra (= 1×) peers Tamay Besiroglu

Countries citing papers authored by Swapnil Mishra

Since Specialization
Citations

This map shows the geographic impact of Swapnil Mishra'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 Swapnil Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapnil Mishra more than expected).

Fields of papers citing papers by Swapnil Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swapnil Mishra. 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 Swapnil Mishra. The network helps show where Swapnil Mishra may publish in the future.

Co-authorship network of co-authors of Swapnil Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Swapnil Mishra. A scholar is included among the top collaborators of Swapnil Mishra 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 Swapnil Mishra. Swapnil Mishra 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.
Huang, Ling, et al.. (2025). Evidential time-to-event prediction with calibrated uncertainty quantification. International Journal of Approximate Reasoning. 181. 109403–109403. 1 indexed citations
2.
Wulandari, Suci, Youbin Sun, Junxiong Pang, et al.. (2025). National investment case development for pathogen genomics. Cell Genomics. 5(3). 100781–100781.
3.
Yadav, Ankit, Swapnil Mishra, & Devi Prasad Mishra. (2024). A detailed review study on utilization of mine and industrial wastes for backfill strengthening. Arabian Journal of Geosciences. 17(4). 8 indexed citations
4.
Morgenstern, Christian, Daniel J. Laydon, Charles A. Whittaker, et al.. (2024). The interaction of disease transmission, mortality, and economic output over the first 2 years of the COVID-19 pandemic. PLoS ONE. 19(6). e0301785–e0301785. 1 indexed citations
5.
Tusting, Lucy S., Swapnil Mishra, Harry S. Gibson, et al.. (2024). Ethnicity and anthropometric deficits in children: A cross-sectional analysis of national survey data from 18 countries in sub-Saharan Africa. SHILAP Revista de lepidopterología. 4(12). e0003067–e0003067. 1 indexed citations
6.
Datta, Jyotishka, Debashree Ray, Swapnil Mishra, et al.. (2023). Comparative impact assessment of COVID-19 policy interventions in five South Asian countries using reported and estimated unreported death counts during 2020-2021. SHILAP Revista de lepidopterología. 3(12). e0002063–e0002063.
7.
Lison, Adrian, Nicolas Banholzer, Mrinank Sharma, et al.. (2023). Effectiveness assessment of non-pharmaceutical interventions: lessons learned from the COVID-19 pandemic. The Lancet Public Health. 8(4). e311–e317. 34 indexed citations
8.
Flaxman, Seth, Charles A. Whittaker, Elizaveta Semenova, et al.. (2023). Assessment of COVID-19 as the Underlying Cause of Death Among Children and Young People Aged 0 to 19 Years in the US. JAMA Network Open. 6(1). e2253590–e2253590. 60 indexed citations
9.
Penn, Matthew J., Daniel J. Laydon, Joseph V. Penn, et al.. (2023). Intrinsic randomness in epidemic modelling beyond statistical uncertainty. Communications Physics. 6(1). 146–146. 5 indexed citations
10.
Pakkanen, Mikko S., Xenia Miscouridou, Matthew J. Penn, et al.. (2023). Unifying incidence and prevalence under a time-varying general branching process. Journal of Mathematical Biology. 87(2). 35–35. 4 indexed citations
11.
Bhatt, Samir, et al.. (2023). Semi-mechanistic Bayesian modelling of COVID-19 with renewal processes. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(4). 601–615. 8 indexed citations
12.
Mishra, Swapnil, Daniel J. Laydon, Harrison Zhu, et al.. (2022). A COVID-19 Model for Local Authorities of the United Kingdom. Journal of the Royal Statistical Society Series A (Statistics in Society). 185(Supplement_1). S86–S95. 6 indexed citations
13.
Mishra, Swapnil, Seth Flaxman, Tresnia Berah, et al.. (2022). $$\pi $$VAE: a stochastic process prior for Bayesian deep learning with MCMC. Statistics and Computing. 32(6). 96–96. 1 indexed citations
14.
Unwin, H. Juliette T., Isobel Routledge, Seth Flaxman, et al.. (2021). Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. PLoS Computational Biology. 17(4). e1008830–e1008830. 12 indexed citations
15.
Laydon, Daniel J., Swapnil Mishra, Wes Hinsley, et al.. (2021). Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns. BMJ Open. 11(4). e050346–e050346. 15 indexed citations
16.
Mishra, Swapnil, James A. Scott, Daniel J. Laydon, et al.. (2021). Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling. Scientific Reports. 11(1). 16342–16342. 36 indexed citations
17.
Routledge, Isobel, Shengjie Lai, Katherine E. Battle, et al.. (2020). Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. PLoS Computational Biology. 16(3). e1007707–e1007707. 11 indexed citations
18.
Rai, Praveer, Pankaj Kumar, Swapnil Mishra, & Rakesh Aggarwal. (2016). Low frequency of V617F mutation in JAK2 gene in Indian patients with hepatic venous outflow obstruction and extrahepatic portal venous obstruction. Indian Journal of Gastroenterology. 35(5). 366–371. 4 indexed citations
19.
Mishra, Swapnil, et al.. (2014). N-acetyltransferase and cytochrome P450 2E1 gene polymorphisms and susceptibility to antituberculosis drug hepatotoxicity in an Indian population.. PubMed. 26(5). 260–5. 17 indexed citations
20.
Warlick, Christopher A., et al.. (1992). Dinucleotide repeat polymorphism at the human cardiac β-myosin heavy chain gene (HMSYHCO1) locus. Human Molecular Genetics. 1(2). 136–136. 6 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.

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