Eric M. Clark

44 papers receiving 982 citations

Eric M. Clark's Hit Papers

Human language reveals a universal positivity bias 2015 · 273 citations
2730+3+7Years since publication50100150200250

Peers

Eric M. Clark
Comparison fields: 5 of 140
  • Developmental Neuroscience 39
  • Agronomy and Crop Science 91
  • Health 55
  • Cellular and Molecular Neuroscience 107
  • Critical Care and Intensive Care Medicine 25
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Rachel A. Ankeny Australia
Michael Harvey United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric M. Clark

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric M. Clark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric M. Clark Line = papers co-authored together Eric M. Clark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human language reveals a universal positivity bias
Hit paper breakdown →
2015273
2 2014103
3 201667
4 201555
5 201552
6 201452
7 201947
8 201538
9 200030
10 201927
11 201924
12 201923
13 201923
14 202122
15 202020
16 202016
17 201813
18 202112
19 201911
20 201511

About Eric M. Clark

Eric M. Clark is a scholar working on Agronomy and Crop Science, Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health and Health, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (12 papers), Viral Infections and Vectors (7 papers), Zoonotic diseases and public health (4 papers), Retinal Development and Disorders (4 papers), Vector-Borne Animal Diseases (3 papers), Social Media in Health Education (3 papers), COVID-19 epidemiological studies (2 papers) and Environmental Education and Sustainability (2 papers). The work is most often cited by research in Developmental Neuroscience (39 citations), Agronomy and Crop Science (91 citations), Health (55 citations), Cellular and Molecular Neuroscience (107 citations) and Critical Care and Intensive Care Medicine (25 citations). Eric M. Clark has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Suma Desu, Jake Ryland Williams, James P. Bagrow, Peter Sheridan Dodds, Christopher M. Danforth, David M. Gamm, Morgan R. Frank, Matthew T. McMahon, Karine Megerdoomian and Isabel M. Kloumann. Their work appears in journals such as Frontiers in Veterinary Science, Scientific Reports, PLoS ONE, Journal of Forensic Sciences and Journal of Rural Studies.

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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