Mark S. Smolinski
- Epidemiology top 1%
- Sociology and Political Science top 2%
- Modeling and Simulation top 0.2%
- Public Health, Environmental and Occupational Health top 2%
- Artificial Intelligence top 5%
- Co-authors
- Lynnette BrammerRajan PatelJeremy GinsbergLarry BrilliantMargaret HamburgJoshua LederbergAdam W. CrawleyJohn S. Brownstein
- Topics
- Data-Driven Disease Surveillance (21 papers)Viral Infections and Outbreaks Research (12 papers)Zoonotic diseases and public health (12 papers)
- Partner nations
- United StatesThailandUnited Kingdom
In The Last Decade
Mark S. Smolinski
41 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Epidemiology 2.0k
- Sociology and Political Science 818
- Modeling and Simulation 717
- Public Health, Environmental and Occupational Health 595
- Artificial Intelligence 415
Countries citing papers authored by Mark S. Smolinski
This map shows the geographic impact of Mark S. Smolinski'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 Mark S. Smolinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Smolinski more than expected).
Fields of papers citing papers by Mark S. Smolinski
This network shows the impact of papers produced by Mark S. Smolinski. 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 Mark S. Smolinski. The network helps show where Mark S. Smolinski may publish in the future.
Co-authorship network of co-authors of Mark S. Smolinski
This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Smolinski. A scholar is included among the top collaborators of Mark S. Smolinski 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 Mark S. Smolinski. Mark S. Smolinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 12 | |
| 8 | 28 | |
| 9 | 29 | |
| 10 | 42 | |
| 11 | 27 | |
| 12 | 67 | |
| 13 | 25 | |
| 14 | 30 | |
| 15 | 1 | |
| 16 | Detecting influenza epidemics using search engine query databreakdown → | 2914 |
| 17 | 1 | |
| 18 | 11 | |
| 19 | Trichinellosis in Roumania. Epidemiological aspects. | 2 |
| 20 | Valeur de la réaction d'immunofluorescence pour le dépistage des infections à P. malariae et la dynamique des titres des anticorps au cours de l'infection et après le traitement radical. | 1 |
About Mark S. Smolinski
Mark S. Smolinski is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 42 papers that have together received 4.0k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (21 papers), Viral Infections and Outbreaks Research (12 papers) and Zoonotic diseases and public health (12 papers). The work is most often cited by research in Modeling and Simulation (717 citations), Epidemiology (2.0k citations) and Transportation (212 citations). Mark S. Smolinski has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include Lynnette Brammer, Rajan Patel, Jeremy Ginsberg, Larry Brilliant, Margaret Hamburg, Joshua Lederberg, Adam W. Crawley, John S. Brownstein, Rumi Chunara and Jennifer M. Olsen. Their work appears in journals such as Nature, American Journal of Public Health and Emerging infectious diseases.
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.