Brian Rasnow

708 citations
22 papers · 593 · h-index 13

Impact in

Papers in

Brian Rasnow

20 papers receiving 573 citations

Peers

Brian Rasnow
Comparison fields: 5 of 61
  • Nature and Landscape Conservation 417
  • Aquatic Science 64
  • Water Science and Technology 87
  • Developmental Biology 11
  • Cognitive Neuroscience 68
Replace Robert H. Hamstra with:
Robert H. Hamstra United States
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El-S. Hassan Germany
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Citations per year

Countries citing papers authored by Brian Rasnow

Since Specialization
Citations

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

Fields of papers citing papers by Brian Rasnow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Rasnow. 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 Brian Rasnow. The network helps show where Brian Rasnow may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996167
2 1999105
3 199657
4 199946
5 199335
6 200531
7 199826
8 200420
9 200018
10
Simulation and Measurement of the Electric Fields Generated by Weakly Electric Fish
198817
11
Imaging with electricity: how weakly electric fish might perceive objects
199715
12 200614
13 199713
14 199711
15 20106
16
Virtual reality in computational neuroscience
19954
17 19882
18 20052
19 19932
20 20021

About Brian Rasnow

Brian Rasnow is a scholar working on Nature and Landscape Conservation, Water Science and Technology, Cognitive Neuroscience, Biophysics and Cell Biology, having authored 22 papers that have together received 593 indexed citations. Recurring topics across this work include Fish biology, ecology, and behavior (12 papers), Ichthyology and Marine Biology (6 papers), Water Quality Monitoring Technologies (5 papers), Fish Ecology and Management Studies (4 papers), Neural dynamics and brain function (3 papers), Neural Networks and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Nature and Landscape Conservation (417 citations), Aquatic Science (64 citations), Water Science and Technology (87 citations), Developmental Biology (11 citations) and Cognitive Neuroscience (68 citations). Brian Rasnow has collaborated with scholars based in United States. Frequent co-authors include Christopher Assad, James M. Bower, Philip K. Stoddard, Mitra J. Z. Hartmann, Mark E Nelson, Joydeep Lahiri, Michael G. Johnson, Fang Ye, Ann M. Ferrie and John A. Salon. Their work appears in journals such as Journal of Comparative Physiology A, Methods, Journal of Experimental Biology, Journal of the American Chemical Society and Analytical Biochemistry.

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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