L. Nathan Perkins

18 total papers · 597 total citations
8 papers, 285 citations indexed

About

L. Nathan Perkins is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Biology. According to data from OpenAlex, L. Nathan Perkins has authored 8 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Developmental Biology. Recurrent topics in L. Nathan Perkins's work include Neural dynamics and brain function (3 papers), Animal Vocal Communication and Behavior (3 papers) and Neuroscience and Neural Engineering (2 papers). L. Nathan Perkins is often cited by papers focused on Neural dynamics and brain function (3 papers), Animal Vocal Communication and Behavior (3 papers) and Neuroscience and Neural Engineering (2 papers). L. Nathan Perkins collaborates with scholars based in United States, Brazil and United Kingdom. L. Nathan Perkins's co-authors include Timothy J. Gardner, William A. Liberti, Darrell N. Kotton, Derek C. Liberti, Jeffrey E. Markowitz, Neal Caren, Erica Chenoweth, Tommy Leung, Michael T. Heaney and Grigori Guitchounts and has published in prestigious journals such as Nature, Nature Communications and Nature Neuroscience.

In The Last Decade

L. Nathan Perkins

8 papers receiving 278 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
L. Nathan Perkins	101	97	48	44	40	8	285
Jan Grewe	129 1.3×	205 2.1×	31 0.6×	15 0.3×	46 1.1×	28	326
Mattias Lauwers	50 0.5×	44 0.5×	70 1.5×	14 0.3×	16 0.4×	6	245
Simon Weiler	104 1.0×	111 1.1×	122 2.5×	37 0.8×	30 0.8×	10	288
Maxim Nikitchenko	76 0.8×	95 1.0×	19 0.4×	5 0.1×	22 0.6×	7	245
Mattia G. Bergomi	15 0.1×	17 0.2×	15 0.3×	9 0.2×	45 1.1×	12	236
Peter Rupprecht	144 1.4×	134 1.4×	57 1.2×	4 0.1×	11 0.3×	16	317
Maximilian Hofbauer	80 0.8×	54 0.6×	2 0.0×	6 0.1×	67 1.7×	6	232
Tom Hindmarsh Sten	192 1.9×	196 2.0×	7 0.1×	12 0.3×	36 0.9×	5	311
Marina E. Wosniack	86 0.9×	30 0.3×	3 0.1×	4 0.1×	51 1.3×	14	294
Alexander Hsu	61 0.6×	77 0.8×	15 0.3×	8 0.2×	17 0.4×	3	189

Countries citing papers authored by L. Nathan Perkins

Since Specialization

Citations

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

Fields of papers citing papers by L. Nathan Perkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Nathan Perkins. 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 L. Nathan Perkins. The network helps show where L. Nathan Perkins may publish in the future.

Co-authorship network of co-authors of L. Nathan Perkins

This figure shows the co-authorship network connecting the top 25 collaborators of L. Nathan Perkins. A scholar is included among the top collaborators of L. Nathan Perkins 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 L. Nathan Perkins. L. Nathan Perkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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