Clark C. Freifeld

3.4k citations
19 papers · 2.2k indexed · 1 hit paper · h-index 17
Topics
Data-Driven Disease Surveillance (13 papers)Influenza Virus Research Studies (5 papers)COVID-19 epidemiological studies (5 papers)

In The Last Decade

Clark C. Freifeld

19 papers receiving 2.1k citations

Hit Papers

Digital Disease Detection — Harnessing the Web for Public...20092026201420202009100200300400500

Peers

Clark C. Freifeld
Comparison fields: 5 of 139
  • Epidemiology 1.1k
  • Public Health, Environmental and Occupational Health 522
  • Sociology and Political Science 464
  • Health 396
  • Modeling and Simulation 353
Replace Mark S. Smolinski with:
Mark S. Smolinski United States
Ben Y. Reis United States
Matthew Scotch United States
Mike Conway United States
Y. Tony Yang United States
Clark C. Freifeld United States
Lisa M. Lee United States
Timothy F. Brewer United States
Richard Hatchett United States
Peter Doshi United States
Clark C. Freifeld relative to Mark S. Smolinski United States Mark S. Smolinski's profile →
Citations per field
00.5×1.6×
Mark S. Smolinski · 1×
Citations per year

Countries citing papers authored by Clark C. Freifeld

Since Specialization
Citations

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

Fields of papers citing papers by Clark C. Freifeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clark C. Freifeld. 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 Clark C. Freifeld. The network helps show where Clark C. Freifeld may publish in the future.

Co-authorship network of co-authors of Clark C. Freifeld

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 20
2 85
3 66
4 45
5 4
6 196
7 116
8 65
9 157
10 118
11 34
12 40
13 170
14 166
15 76
16
Digital Disease Detection — Harnessing the Web for Public Health Surveillancebreakdown →
511
17 4
18 271
19 74

About Clark C. Freifeld

Clark C. Freifeld is a scholar working on Toxicology, Modeling and Simulation and Pharmacology, having authored 19 papers that have together received 2.2k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (13 papers), Influenza Virus Research Studies (5 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (353 citations), Toxicology (234 citations) and Health (396 citations). Clark C. Freifeld has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John S. Brownstein, Lawrence C. Madoff, Ben Y. Reis, Kenneth D. Mandl, Sumiko R. Mekaru, Rumi Chunara, Emily H. Chan, Nabarun Dasgupta, Taha Kass‐Hout and Ross W. Filice. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and PLoS ONE.

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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2026