Eric S. Fortune

3.4k citations
57 papers · 2.5k · h-index 28

Impact in

Papers in

Eric S. Fortune

57 papers receiving 2.5k citations

Peers

Eric S. Fortune
Comparison fields: 5 of 105
  • Developmental Biology 752
  • Nature and Landscape Conservation 661
  • Cognitive Neuroscience 993
  • Cellular and Molecular Neuroscience 746
  • Ecology, Evolution, Behavior and Systematics 725
Replace Toshiya Matsushima with:
Toshiya Matsushima Japan
Rüdiger Krahe Canada
Bernhard Ronacher Germany
Jochen Zeil Australia
Walter Heiligenberg United States
Nachum Ulanovsky Israel
C. H. F. Rowell Switzerland
Gerhard von der Emde Germany
Niels C. Rattenborg Germany
Anthony Leonardo United States
Eric S. Fortune relative to Toshiya Matsushima Japan Toshiya Matsushima's profile →
Citations per field
00.5×4.9×
Toshiya Matsushima · 1×
Citations per year

Countries citing papers authored by Eric S. Fortune

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Fortune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric S. Fortune, 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 S. Fortune Line = papers co-authored together Eric S. Fortune links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001311
2 1992277
3 1995200
4 1992122
5 2000103
6 200779
7 201379
8 199476
9 201476
10 201172
11 200970
12 199761
13 199755
14 201254
15 201152
16 201250
17 200940
18 200937
19 201337
20 199935

About Eric S. Fortune

Eric S. Fortune is a scholar working on Nature and Landscape Conservation, Cognitive Neuroscience, Ecology, Cellular and Molecular Neuroscience and Developmental Biology, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Fish biology, ecology, and behavior (33 papers), Neural dynamics and brain function (18 papers), Ichthyology and Marine Biology (14 papers), Marine animal studies overview (13 papers), Animal Vocal Communication and Behavior (10 papers), Neurobiology and Insect Physiology Research (9 papers), Animal Behavior and Reproduction (7 papers) and Biomimetic flight and propulsion mechanisms (5 papers). The work is most often cited by research in Developmental Biology (752 citations), Nature and Landscape Conservation (661 citations), Cognitive Neuroscience (993 citations), Cellular and Molecular Neuroscience (746 citations) and Ecology, Evolution, Behavior and Systematics (725 citations). Eric S. Fortune has collaborated with scholars based in United States, Canada and Ecuador. Frequent co-authors include Gary J. Rose, Daniel Margoliash, Noah J. Cowan, Sarah A. Stamper, Maurice J. Chacron, Eatai Roth, Katrin Vonderschen, Melissa J. Coleman, Shahin Sefati and Manu S. Madhav. Their work appears in journals such as Journal of Experimental Biology, Journal of Neuroscience, Journal of Neurophysiology, Current Biology and The Journal of Comparative Neurology.

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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