Clark C. Freifeld

1.4k total citations
16 papers, 976 citations indexed

About

Clark C. Freifeld is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Sociology and Political Science. According to data from OpenAlex, Clark C. Freifeld has authored 16 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Public Health, Environmental and Occupational Health and 3 papers in Sociology and Political Science. Recurrent topics in Clark C. Freifeld's work include Data-Driven Disease Surveillance (7 papers), Influenza Virus Research Studies (3 papers) and COVID-19 epidemiological studies (3 papers). Clark C. Freifeld is often cited by papers focused on Data-Driven Disease Surveillance (7 papers), Influenza Virus Research Studies (3 papers) and COVID-19 epidemiological studies (3 papers). Clark C. Freifeld collaborates with scholars based in United States, Canada and United Kingdom. Clark C. Freifeld's co-authors include John S. Brownstein, Kenneth D. Mandl, Ben Y. Reis, Mikaela Keller, Sumiko R. Mekaru, Lawrence C. Madoff, Abla Mawudeku, Herman Tolentino, Günther Eysenbach and Simon I Hay and has published in prestigious journals such as New England Journal of Medicine, Bioinformatics and Emerging infectious diseases.

In The Last Decade

Clark C. Freifeld

16 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clark C. Freifeld United States	13	547	424	148	139	139	16	976
Mika Shigematsu Japan	17	487 0.9×	130 0.3×	98 0.7×	268 1.9×	165 1.2×	39	1.1k
Sumiko R. Mekaru United States	23	623 1.1×	472 1.1×	347 2.3×	393 2.8×	198 1.4×	37	1.5k
Kiyosu Taniguchi Japan	24	959 1.8×	273 0.6×	301 2.0×	552 4.0×	78 0.6×	133	1.8k
Julie A. Pavlin United States	22	966 1.8×	371 0.9×	264 1.8×	445 3.2×	176 1.3×	56	1.7k
Sara Y. Del Valle United States	20	440 0.8×	546 1.3×	654 4.4×	297 2.1×	121 0.9×	46	1.4k
D Coulombier Sweden	16	351 0.6×	270 0.6×	156 1.1×	458 3.3×	71 0.5×	59	976
Geoffrey Fairchild United States	12	305 0.6×	156 0.4×	189 1.3×	104 0.7×	125 0.9×	29	681
Nicholas Geard Australia	17	172 0.3×	121 0.3×	195 1.3×	178 1.3×	111 0.8×	87	884
Lorenzo Pellis United Kingdom	20	315 0.6×	287 0.7×	681 4.6×	374 2.7×	79 0.6×	56	1.4k
Obaghe Edeghere United Kingdom	15	250 0.5×	89 0.2×	96 0.6×	139 1.0×	60 0.4×	44	709

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

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Freifeld, Clark C., et al.. (2024). Connecting Past to Present: Does Historical Redlining Affect Current Life Expectancy?. Journal of Racial and Ethnic Health Disparities. 13(1). 11–32. 1 indexed citations

Beletsky, Leo, et al.. (2020). Fentanyl panic goes viral: The spread of misinformation about overdose risk from casual contact with fentanyl in mainstream and social media. International Journal of Drug Policy. 86. 102951–102951. 38 indexed citations

Hswen, Yulin, et al.. (2020). Evaluation of Volume of News Reporting and Opioid-Related Deaths in the United States: Comparative Analysis Study of Geographic and Socioeconomic Differences. Journal of Medical Internet Research. 22(7). e17693–e17693. 19 indexed citations

Kraemer, Moritz U. G., Donal Bisanzio, Robert C. Reiner, et al.. (2018). Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan. EPJ Data Science. 7(1). 16–16. 35 indexed citations

Dart, Richard C., Hilary L. Surratt, Marie‐Claire Le Lait, et al.. (2015). Diversion and Illicit Sale of Extended Release Tapentadol in the United States. Pain Medicine. 17(8). 1490–1496. 25 indexed citations

Scales, David, et al.. (2015). Comparing timeliness, content, and disease severity of formal and informal source outbreak reporting. BMC Infectious Diseases. 15(1). 135–135. 23 indexed citations

Pigott, David M., Nick Golding, Jane P. Messina, et al.. (2014). Global database of leishmaniasis occurrence locations, 1960–2012. Scientific Data. 1(1). 140036–140036. 39 indexed citations

Pigott, David M., Samir Bhatt, Nick Golding, et al.. (2014). Global distribution maps of the leishmaniases. eLife. 3. 194 indexed citations

Driscoll, Timothy, Joseph L. Gabbard, Chunhong Mao, et al.. (2011). Integration and visualization of host–pathogen data related to infectious diseases. Bioinformatics. 27(16). 2279–2287. 13 indexed citations

10.

Khan, Kamran, Clark C. Freifeld, Jun Wang, et al.. (2010). Preparing for infectious disease threats at mass gatherings: the case of the Vancouver 2010 Olympic Winter Games. Canadian Medical Association Journal. 182(6). 579–583. 36 indexed citations

11.

Hoen, Anne G., David L. Buckeridge, Emily H. Chan, et al.. (2010). Characteristics of US public schools with reported cases of novel influenza A (H1N1). International Journal of Infectious Diseases. 14. e6–e8. 4 indexed citations

12.

Anema, Aranka, Clark C. Freifeld, Eric Druyts, et al.. (2009). An assessment of global Internet-based HIV/AIDS media coverage: implications for United Nations Programme on HIV/AIDS' Global Media HIV/AIDS Initiative. International Journal of STD & AIDS. 21(1). 26–29. 7 indexed citations

13.

Keller, Mikaela, Herman Tolentino, Clark C. Freifeld, et al.. (2009). Use of Unstructured Event-Based Reports for Global Infectious Disease Surveillance. Emerging infectious diseases. 15(5). 689–695. 141 indexed citations

14.

Keller, Mikaela, Clark C. Freifeld, & John S. Brownstein. (2009). Automated vocabulary discovery for geo-parsing online epidemic intelligence. BMC Bioinformatics. 10(1). 385–385. 14 indexed citations

15.

Brownstein, John S., Clark C. Freifeld, & Lawrence C. Madoff. (2009). Influenza A (H1N1) Virus, 2009 — Online Monitoring. New England Journal of Medicine. 360(21). 2156–2156. 54 indexed citations

16.

Freifeld, Clark C., Kenneth D. Mandl, Ben Y. Reis, & John S. Brownstein. (2007). HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports. Journal of the American Medical Informatics Association. 15(2). 150–157. 333 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.

Explore authors with similar magnitude of impact