Michael G. Kaufman

2.6k total citations
44 papers, 2.0k citations indexed

About

Michael G. Kaufman is a scholar working on Public Health, Environmental and Occupational Health, Insect Science and Ecology. According to data from OpenAlex, Michael G. Kaufman has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Public Health, Environmental and Occupational Health, 22 papers in Insect Science and 17 papers in Ecology. Recurrent topics in Michael G. Kaufman's work include Mosquito-borne diseases and control (25 papers), Insect symbiosis and bacterial influences (16 papers) and Freshwater macroinvertebrate diversity and ecology (9 papers). Michael G. Kaufman is often cited by papers focused on Mosquito-borne diseases and control (25 papers), Insect symbiosis and bacterial influences (16 papers) and Freshwater macroinvertebrate diversity and ecology (9 papers). Michael G. Kaufman collaborates with scholars based in United States, Czechia and Canada. Michael G. Kaufman's co-authors include Edward D. Walker, Michael J. Klug, Richard W. Merritt, Dina M. Fonseca, John Vulule, Shicheng Chen, Donald Yee, John E. Gimnig, Maurice Ombok and Michael Bagdasarian and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Bioresource Technology.

In The Last Decade

Michael G. Kaufman

44 papers receiving 1.9k citations

Peers

Michael G. Kaufman
Comparison fields: 5 of 81
  • Public Health, Environmental and Occupational Health 1.2k
  • Insect Science 872
  • Ecology 459
  • Plant Science 363
  • Molecular Biology 275
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Citations per field, relative to Michael G. Kaufman
Michael G. Kaufman · 1×
Citations per year, relative to Michael G. Kaufman
Michael G. Kaufman · 1×

Countries citing papers authored by Michael G. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Kaufman. 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 Michael G. Kaufman. The network helps show where Michael G. Kaufman may publish in the future.

Co-authorship network of co-authors of Michael G. Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Kaufman. A scholar is included among the top collaborators of Michael G. Kaufman 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 Michael G. Kaufman. Michael G. Kaufman 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 17
2 65
3 24
4 34
5 47
6 5
7 9
8 16
9 25
10 23
11 89
12 35
13 49
14 30
15 4
16 87
17 231
18 123
19 36
20 99

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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