Dina Mistry

2.3k total citations
13 papers, 660 citations indexed

About

Dina Mistry is a scholar working on Modeling and Simulation, Infectious Diseases and Information Systems. According to data from OpenAlex, Dina Mistry has authored 13 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 6 papers in Infectious Diseases and 3 papers in Information Systems. Recurrent topics in Dina Mistry's work include COVID-19 epidemiological studies (12 papers), Viral Infections and Outbreaks Research (3 papers) and COVID-19 Digital Contact Tracing (3 papers). Dina Mistry is often cited by papers focused on COVID-19 epidemiological studies (12 papers), Viral Infections and Outbreaks Research (3 papers) and COVID-19 Digital Contact Tracing (3 papers). Dina Mistry collaborates with scholars based in United States, Australia and Denmark. Dina Mistry's co-authors include Cliff C. Kerr, Robyn M. Stuart, Daniel J. Klein, Jasmina Panovska‐Griffiths, Russell Viner, Chris Bonell, Stefano Merler, Diana P. Rojas, Ana Pastore y Piontti and Piero Poletti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Dina Mistry

12 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dina Mistry United States 10 413 265 178 119 85 13 660
Corey M. Peak United States 10 339 0.8× 247 0.9× 104 0.6× 132 1.1× 64 0.8× 14 668
Swapnil Mishra United Kingdom 14 384 0.9× 239 0.9× 85 0.5× 112 0.9× 105 1.2× 46 844
Joel Ruihan Koo Singapore 9 459 1.1× 260 1.0× 151 0.8× 91 0.8× 141 1.7× 20 852
Haoyang Sun Singapore 11 466 1.1× 286 1.1× 205 1.2× 91 0.8× 142 1.7× 16 877
Dillon C. Adam Australia 12 418 1.0× 389 1.5× 58 0.3× 217 1.8× 59 0.7× 39 771
Shanlu Zhao China 4 709 1.7× 413 1.6× 89 0.5× 205 1.7× 155 1.8× 6 1.0k
Spencer J. Fox United States 14 492 1.2× 236 0.9× 102 0.6× 303 2.5× 45 0.5× 37 764
Laura Di Domenico United States 10 358 0.9× 184 0.7× 61 0.3× 129 1.1× 62 0.7× 17 582
Andrea Torneri Belgium 8 401 1.0× 276 1.0× 74 0.4× 125 1.1× 48 0.6× 14 535
Wongyeong Choi South Korea 7 410 1.0× 272 1.0× 68 0.4× 85 0.7× 91 1.1× 11 672

Countries citing papers authored by Dina Mistry

Since Specialization
Citations

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

Fields of papers citing papers by Dina Mistry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Mistry

This figure shows the co-authorship network connecting the top 25 collaborators of Dina Mistry. A scholar is included among the top collaborators of Dina Mistry 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 Dina Mistry. Dina Mistry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kerr, Cliff C., Robyn M. Stuart, Dina Mistry, et al.. (2022). Python vs. the pandemic: a case study in high-stakes software development. Proceedings of the Python in Science Conferences. 90–97.
2.
Panovska‐Griffiths, Jasmina, Robyn M. Stuart, Cliff C. Kerr, et al.. (2022). Modelling the impact of reopening schools in the UK in early 2021 in the presence of the alpha variant and with roll-out of vaccination against SARS-CoV-2. Journal of Mathematical Analysis and Applications. 514(2). 126050–126050. 7 indexed citations
3.
Abeysuriya, Romesh, Dominic Delport, Robyn M. Stuart, et al.. (2022). Preventing a cluster from becoming a new wave in settings with zero community COVID-19 cases. BMC Infectious Diseases. 22(1). 232–232. 12 indexed citations
4.
Stuart, Robyn M., Romesh Abeysuriya, Cliff C. Kerr, et al.. (2021). Role of masks, testing and contact tracing in preventing COVID-19 resurgences: a case study from New South Wales, Australia. BMJ Open. 11(4). e045941–e045941. 16 indexed citations
5.
Skrip, Laura, Prashanth Selvaraj, Brittany Hagedorn, et al.. (2021). Seeding COVID-19 across Sub-Saharan Africa: An Analysis of Reported Importation Events across 49 Countries. American Journal of Tropical Medicine and Hygiene. 104(5). 1694–1702. 10 indexed citations
6.
Pham, Quang Duy, Robyn M. Stuart, Thượng Vũ Nguyễn, et al.. (2021). Estimating and mitigating the risk of COVID-19 epidemic rebound associated with reopening of international borders in Vietnam: a modelling study. The Lancet Global Health. 9(7). e916–e924. 22 indexed citations
7.
Kerr, Cliff C., Dina Mistry, Robyn M. Stuart, et al.. (2021). Controlling COVID-19 via test-trace-quarantine. Nature Communications. 12(1). 2993–2993. 73 indexed citations
8.
Panovska‐Griffiths, Jasmina, Cliff C. Kerr, William Waites, et al.. (2021). Modelling the potential impact of mask use in schools and society on COVID-19 control in the UK. Scientific Reports. 11(1). 8747–8747. 21 indexed citations
9.
Scott, Nick, Anna Palmer, Dominic Delport, et al.. (2020). Modelling the impact of relaxing COVID ‐19 control measures during a period of low viral transmission. The Medical Journal of Australia. 214(2). 79–83. 48 indexed citations
10.
Panovska‐Griffiths, Jasmina, Cliff C. Kerr, Robyn M. Stuart, et al.. (2020). Determining the optimal strategy for reopening schools, the impact of test and trace interventions, and the risk of occurrence of a second COVID-19 epidemic wave in the UK: a modelling study. The Lancet Child & Adolescent Health. 4(11). 817–827. 211 indexed citations
11.
Sun, Kaiyuan, Qian Zhang, Matteo Chinazzi, et al.. (2018). Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015–2016 ZIKV epidemic. BMC Medicine. 16(1). 195–195. 9 indexed citations
12.
Zhang, Qian, Kaiyuan Sun, Matteo Chinazzi, et al.. (2017). Spread of Zika virus in the Americas. Proceedings of the National Academy of Sciences. 114(22). E4334–E4343. 203 indexed citations
13.
Mistry, Dina, et al.. (2015). Committed activists and the reshaping of status-quo social consensus. Physical Review E. 92(4). 42805–42805. 28 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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