Steven N. Fry

1.8k citations
26 papers · 1.4k indexed · h-index 14

Steven N. Fry

26 papers receiving 1.4k citations

Peers

Steven N. Fry
Comparison fields: 5 of 88
  • Aerospace Engineering 776
  • Cellular and Molecular Neuroscience 558
  • Ecology, Evolution, Behavior and Systematics 451
  • Genetics 324
  • Computational Mechanics 221
Replace Gordon J Berman with:
Gordon J Berman United States
Karl Georg Götz Germany
John J. Socha United States
Florian T. Muijres Netherlands
Sridhar Ravi Australia
Michael S. Tu United States
Richard J. Bomphrey United Kingdom
Andrew Straw United States
Alexey A. Polilov Russia
Douglas L. Altshuler United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven N. Fry

Since Specialization
Citations

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

Fields of papers citing papers by Steven N. Fry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven N. Fry. 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 Steven N. Fry. The network helps show where Steven N. Fry may publish in the future.

Co-authorship network

The 20 scholars most cited alongside Steven N. Fry, 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 Steven N. Fry Line = papers co-authored together Steven N. Fry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20156
2 201313
3 20131
4 201029
5 201016
6 201057
7 2009118
8 200879
9
Real-time microforce sensors and high speed vision system for insect flight control analysis
20081
10 20083
11 20083
12 200616
13 20057
14 20051
15 2005259
16 2005125
17 200519
18 200425
19 2003424
20 1993123

About Steven N. Fry

Steven N. Fry is a scholar working on Cellular and Molecular Neuroscience, Aerospace Engineering and Ecology, Evolution, Behavior and Systematics, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomimetic flight and propulsion mechanisms (21 papers), Neurobiology and Insect Physiology Research (20 papers), Insect and Arachnid Ecology and Behavior (8 papers), Animal Behavior and Reproduction (7 papers), Physiological and biochemical adaptations (5 papers), Force Microscopy Techniques and Applications (2 papers), Mechanical and Optical Resonators (2 papers) and Insect behavior and control techniques (2 papers). The work is most often cited by research in Aerospace Engineering (776 citations), Cellular and Molecular Neuroscience (558 citations) and Ecology, Evolution, Behavior and Systematics (451 citations). Steven N. Fry has collaborated with scholars based in Switzerland, United States and Czechia. Frequent co-authors include Michael H. Dickinson, Rosalyn W. Sayaman, Andrew Straw, Rüdiger Wehner, Bradley J. Nelson, Thomas S. Collett, Yu Sun, Dominik J. Bell, Bo Cheng and Deng Xueying. Their work appears in journals such as Science, PLoS ONE and Journal of Experimental Biology.

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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