Nina H. Fefferman

4.0k total citations
121 papers, 2.5k citations indexed

About

Nina H. Fefferman is a scholar working on Ecology, Evolution, Behavior and Systematics, Sociology and Political Science and Genetics. According to data from OpenAlex, Nina H. Fefferman has authored 121 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ecology, Evolution, Behavior and Systematics, 34 papers in Sociology and Political Science and 32 papers in Genetics. Recurrent topics in Nina H. Fefferman's work include COVID-19 epidemiological studies (28 papers), Plant and animal studies (23 papers) and Evolutionary Game Theory and Cooperation (19 papers). Nina H. Fefferman is often cited by papers focused on COVID-19 epidemiological studies (28 papers), Plant and animal studies (23 papers) and Evolutionary Game Theory and Cooperation (19 papers). Nina H. Fefferman collaborates with scholars based in United States, Netherlands and United Kingdom. Nina H. Fefferman's co-authors include Elena N. Naumova, Eric Lofgren, Philip T. Starks, Jack Gorski, Yuri N. Naumov, Marla Spivak, Noah Wilson-Rich, Lazaros K. Gallos, Dina M. Fonseca and Brooke Maslo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Nina H. Fefferman

116 papers receiving 2.4k citations

Peers

Nina H. Fefferman
Comparison fields: 5 of 167
  • Genetics 591
  • Ecology, Evolution, Behavior and Systematics 582
  • Insect Science 461
  • Infectious Diseases 433
  • Epidemiology 410
Replace Angela R. McLean with:
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Angela R. McLean United Kingdom View profile →
Citations per field, relative to Nina H. Fefferman
Nina H. Fefferman · 1×
Citations per year, relative to Nina H. Fefferman
Nina H. Fefferman · 1×

Countries citing papers authored by Nina H. Fefferman

Since Specialization
Citations

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

Fields of papers citing papers by Nina H. Fefferman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina H. Fefferman. 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 Nina H. Fefferman. The network helps show where Nina H. Fefferman may publish in the future.

Co-authorship network of co-authors of Nina H. Fefferman

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 7
4 4
5 2
6 12
7 6
8 5
9 26
10 7
11 3
12 1
13 3
14 10
15 1
16 41
17 25
18
The role of individual choice in the evolution of social complexity
12
19 71
20
Polistes nest founding behavior : a model for the selective maintenance of alternative behavioral phenotypes
5

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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