Stephen Larson

1.4k citations
26 papers · 946 · h-index 16

Impact in

Papers in

Stephen Larson

26 papers receiving 913 citations

Peers

Stephen Larson
Comparison fields: 5 of 91
  • Sensory Systems 139
  • Cognitive Neuroscience 249
  • Cellular and Molecular Neuroscience 148
  • Biophysics 61
  • Information Systems and Management 80
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Larson

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011222
2 2008124
3 201488
4 200764
5 201858
6 201952
7 201347
8 200943
9 201241
10 201834
11 201224
12 201621
13 201820
14 200719
15 201219
16 201619
17 20129
18 20077
19
An Ontology-Driven Knowledge Environment For Subcellular Neuroanatomy.
20077
20 20187

About Stephen Larson

Stephen Larson is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Information Systems and Management, Molecular Biology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 946 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (12 papers), Semantic Web and Ontologies (8 papers), Undergraduate Neuroscience Education and Research (7 papers), Neural dynamics and brain function (7 papers), Neurobiology and Insect Physiology Research (4 papers), Scientific Computing and Data Management (4 papers), Research Data Management Practices (2 papers) and Fluid Dynamics Simulations and Interactions (2 papers). The work is most often cited by research in Sensory Systems (139 citations), Cognitive Neuroscience (249 citations), Cellular and Molecular Neuroscience (148 citations), Biophysics (61 citations) and Information Systems and Management (80 citations). Stephen Larson has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Maryann Elizabeth Martone, Tyler Cutforth, Sulagna Dia Ghosh, Hooman Hefzi, Andrey Yu. Palyanov, Kristin K. Baldwin, Amarnath Gupta, Padraig Gleeson, Jeffrey S. Grethe and William J. Bug. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Frontiers in Neuroinformatics, BMC Neuroscience, F1000Research and Advances in Engineering Software.

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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