Todd Bodnar
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
Papers in
-
- Recommender Systems and Techniques 3
- Spam and Phishing Detection 1
- Co-authors
- Marcel Salathé (5 shared papers)Devon D. Brewer (1 shared paper)Patricia L. Mabry (1 shared paper)Ciro Cattuto (1 shared paper)Alessandro Vespignani (1 shared paper)Shashank Khandelwal (1 shared paper)Ellsworth M. Campbell (1 shared paper)Linus Bengtsson (1 shared paper)
- Journals
- IEEE Transactions on Systems Man and Cybernetics Systems (1 paper)JMIR Public Health and Surveillance (1 paper)PLoS Computational Biology (1 paper)PLoS ONE (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Todd Bodnar
9 papers receiving 431 citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 73
- Epidemiology 172
- Health 32
- Transportation 21
- Statistical and Nonlinear Physics 39
Countries citing papers authored by Todd Bodnar
This map shows the geographic impact of Todd Bodnar'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 Todd Bodnar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Bodnar more than expected).
Fields of papers citing papers by Todd Bodnar
This network shows the impact of papers produced by Todd Bodnar. 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 Todd Bodnar. The network helps show where Todd Bodnar may publish in the future.
Co-authors
The 19 scholars most cited alongside Todd Bodnar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 285 | |
| 2 | 2015 | 50 | |
| 3 | 2014 | 39 | |
| 4 | 2013 | 36 | |
| 5 | 2016 | 16 | |
| 6 | 2021 | 7 | |
| 7 | 2012 | 5 | |
| 8 | 2021 | 3 | |
| 9 | 2013 | 2 | |
| 10 | 2021 | 1 |
About Todd Bodnar
Todd Bodnar is a scholar working on Information Systems, Sociology and Political Science, Statistical and Nonlinear Physics, Epidemiology and Transportation, having authored 10 papers that have together received 444 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (3 papers), Recommender Systems and Techniques (3 papers), Complex Network Analysis Techniques (3 papers), Human Mobility and Location-Based Analysis (3 papers), Spam and Phishing Detection (1 paper), Experimental Behavioral Economics Studies (1 paper), Geographic Information Systems Studies (1 paper) and Culture, Economy, and Development Studies (1 paper). The work is most often cited by research in Modeling and Simulation (73 citations), Epidemiology (172 citations), Health (32 citations), Transportation (21 citations) and Statistical and Nonlinear Physics (39 citations). Todd Bodnar has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Marcel Salathé, Devon D. Brewer, Patricia L. Mabry, Ciro Cattuto, Alessandro Vespignani, Shashank Khandelwal, Ellsworth M. Campbell, Linus Bengtsson, John S. Brownstein and Caroline O. Buckee. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, JMIR Public Health and Surveillance, PLoS Computational Biology, PLoS ONE and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.