John A. Sokolowski

1.1k total citations
56 papers, 749 citations indexed

About

John A. Sokolowski is a scholar working on Management Science and Operations Research, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, John A. Sokolowski has authored 56 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 13 papers in Sociology and Political Science and 6 papers in Artificial Intelligence. Recurrent topics in John A. Sokolowski's work include Complex Systems and Decision Making (9 papers), Simulation Techniques and Applications (7 papers) and Terrorism, Counterterrorism, and Political Violence (5 papers). John A. Sokolowski is often cited by papers focused on Complex Systems and Decision Making (9 papers), Simulation Techniques and Applications (7 papers) and Terrorism, Counterterrorism, and Political Violence (5 papers). John A. Sokolowski collaborates with scholars based in United States, Ghana and Austria. John A. Sokolowski's co-authors include Catherine M. Banks, Andrew J. Collins, Barry Ezell, Steven Bennett, Detlof von Winterfeldt, Carla L. Black, Sara Donahue, Charles DiSogra, Stacie M. Greby and David Izrael and has published in prestigious journals such as MMWR Morbidity and Mortality Weekly Report, Annals of Emergency Medicine and Risk Analysis.

In The Last Decade

John A. Sokolowski

51 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Sokolowski United States 12 212 161 146 95 85 56 749
Achla Marathe United States 25 287 1.4× 232 1.4× 148 1.0× 288 3.0× 156 1.8× 101 2.2k
Chris Barrett United States 22 336 1.6× 58 0.4× 107 0.7× 116 1.2× 116 1.4× 100 1.7k
Zhidong Cao China 20 315 1.5× 74 0.5× 25 0.2× 137 1.4× 140 1.6× 89 1.7k
Hilary I. Okagbue Nigeria 18 56 0.3× 32 0.2× 87 0.6× 90 0.9× 158 1.9× 194 1.4k
Özgür M. Araz United States 18 143 0.7× 45 0.3× 123 0.8× 76 0.8× 59 0.7× 61 1.0k
Anil Vullikanti United States 21 495 2.3× 104 0.6× 98 0.7× 162 1.7× 275 3.2× 116 1.8k
Z. Kmietowicz United Kingdom 14 69 0.3× 21 0.1× 272 1.9× 35 0.4× 91 1.1× 213 1.3k
Samarth Swarup United States 16 129 0.6× 130 0.8× 72 0.5× 239 2.5× 194 2.3× 89 976
Nicoleta Serban United States 19 71 0.3× 68 0.4× 53 0.4× 24 0.3× 124 1.5× 75 987

Countries citing papers authored by John A. Sokolowski

Since Specialization
Citations

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

Fields of papers citing papers by John A. Sokolowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Sokolowski. 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 John A. Sokolowski. The network helps show where John A. Sokolowski may publish in the future.

Co-authorship network of co-authors of John A. Sokolowski

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Sokolowski. A scholar is included among the top collaborators of John A. Sokolowski 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 John A. Sokolowski. John A. Sokolowski 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.
Peebles, Kathryn, Michael Witt, M.L. Sanderson, et al.. (2023). Population-based estimates of COVID-19 period prevalence and cumulative monthly incidence in New York City: A comparison of estimates from three surveys, July–August 2020. Survey Practice. 16(1). 1–16. 2 indexed citations
2.
Collins, Andrew J., et al.. (2017). Agent-based model of criminal gang formation. 9.
3.
Collins, Andrew J., et al.. (2015). Effective visualization in modeling & simulation. Annual Simulation Symposium. 33–40. 11 indexed citations
4.
Sokolowski, John A. & Catherine M. Banks. (2015). An agent-based approach to modeling insider threat. 36–41.
5.
Sokolowski, John A. & Catherine M. Banks. (2015). Agent implementation for modeling insider threat. Winter Simulation Conference. 266–275. 4 indexed citations
6.
Ding, Helen, Carla L. Black, Sarah Ball, et al.. (2014). Influenza vaccination coverage among pregnant women--United States, 2013-14 influenza season.. PubMed. 63(37). 816–21. 60 indexed citations
7.
Lynch, Christopher J., José J. Padilla, Saikou Y. Diallo, John A. Sokolowski, & Catherine M. Banks. (2014). A multi-paradigm modeling framework for modeling and simulating problem situations. Winter Simulation Conference. 1688–1699. 10 indexed citations
8.
Sokolowski, John A. & Catherine M. Banks. (2014). A methodology for environment and agent development to model population displacement. 3. 12 indexed citations
9.
Sokolowski, John A., Catherine M. Banks, Saikou Y. Diallo, José J. Padilla, & Christopher J. Lynch. (2013). A simulation analysis to weigh the impact of obesity: corresponding patient need with medical capacity. Summer Computer Simulation Conference. 6. 2 indexed citations
10.
Black, Carla L., Xin Yue, Sarah W. Ball, et al.. (2012). Influenza Vaccination Coverage Among Health-Care Personnel—United States, 2010–11 Influenza Season. Annals of Emergency Medicine. 60(5). 628–630. 84 indexed citations
11.
Sokolowski, John A. & Catherine M. Banks. (2012). Handbook of Real-World Applications in Modeling and Simulation. ODU Digital Commons (Old Dominion University). 7 indexed citations
12.
Sokolowski, John A. & Catherine M. Banks. (2011). Modeling and simulation in the medical and health sciences. ODU Digital Commons (Old Dominion University). 4 indexed citations
13.
Ezell, Barry, Steven Bennett, Detlof von Winterfeldt, John A. Sokolowski, & Andrew J. Collins. (2010). Probabilistic Risk Analysis and Terrorism Risk. Risk Analysis. 30(4). 575–589. 162 indexed citations
14.
Sokolowski, John A. & Catherine M. Banks. (2010). Investigating social dynamics and global connectivity: an agent-based modeling approach. Winter Simulation Conference. 733–740. 2 indexed citations
15.
Sokolowski, John A. & Catherine M. Banks. (2010). A proposed approach to modeling and simulation education for the medical and health sciences. Summer Computer Simulation Conference. 284–289. 1 indexed citations
16.
Banks, Catherine M. & John A. Sokolowski. (2009). Advancing cognitive agent-based modeling: personifying the agents. Summer Computer Simulation Conference. 54–60. 1 indexed citations
17.
Robinson, R. Michael, Asad J. Khattak, John A. Sokolowski, Peter Foytik, & Xin Wang. (2009). Role of Traffic Incidents in Hampton Roads Hurricane Evacuations. Transportation Research Board 88th Annual MeetingTransportation Research Board. 14 indexed citations
18.
Sokolowski, John A. & Catherine M. Banks. (2007). From empirical data to mathematical model: using population dynamics to characterize insurgencies. Summer Computer Simulation Conference. 1120–1127. 2 indexed citations
19.
Shen, Yuzhong & John A. Sokolowski. (2007). Hampton Roads hurricane evacuation arterial routes preliminary study. Spring Simulation Multiconference. 63–68. 1 indexed citations
20.
Sokolowski, John A.. (2003). Enhanced Military Decision Modeling Using a MultiAgent System Approach. 10 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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