Whitney S. Griggs

19 total papers · 610 total citations
12 papers, 314 citations indexed

About

Whitney S. Griggs is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Whitney S. Griggs has authored 12 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Biomedical Engineering. Recurrent topics in Whitney S. Griggs's work include Neural dynamics and brain function (11 papers), Memory and Neural Mechanisms (5 papers) and Neural and Behavioral Psychology Studies (4 papers). Whitney S. Griggs is often cited by papers focused on Neural dynamics and brain function (11 papers), Memory and Neural Mechanisms (5 papers) and Neural and Behavioral Psychology Studies (4 papers). Whitney S. Griggs collaborates with scholars based in United States, France and South Korea. Whitney S. Griggs's co-authors include Okihide Hikosaka, Ali Ghazizadeh, Hidetoshi Amita, Sumner L. Norman, Mikhail G. Shapiro, Richard A. Andersen, David A. Leopold, Mickaël Tanter, Hyoung F. Kim and Charlie Demené and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Whitney S. Griggs

11 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Whitney S. Griggs	232	96	42	38	34	12	314
Pieter Poolman	130 0.6×	43 0.4×	27 0.6×	18 0.5×	43 1.3×	18	329
Bing‐Xing Huo	139 0.6×	64 0.7×	30 0.7×	21 0.6×	62 1.8×	10	245
Natalia Denisova	181 0.8×	171 1.8×	20 0.5×	15 0.4×	36 1.1×	12	306
Richard N. Friedman	80 0.3×	100 1.0×	24 0.6×	31 0.8×	56 1.6×	20	290
Partha Thirumala	164 0.7×	33 0.3×	46 1.1×	29 0.8×	15 0.4×	9	286
Fanny Cazettes	186 0.8×	60 0.6×	15 0.4×	15 0.4×	42 1.2×	13	349
Honami Sakata	206 0.9×	145 1.5×	38 0.9×	38 1.0×	28 0.8×	9	345
Atul K. Mallik	156 0.7×	134 1.4×	21 0.5×	30 0.8×	38 1.1×	18	340
Tadahiko Shibata	272 1.2×	56 0.6×	24 0.6×	18 0.5×	22 0.6×	23	351
Jones Eg	188 0.8×	154 1.6×	33 0.8×	28 0.7×	17 0.5×	8	310

Countries citing papers authored by Whitney S. Griggs

Since Specialization

Citations

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

Fields of papers citing papers by Whitney S. Griggs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Whitney S. Griggs

This figure shows the co-authorship network connecting the top 25 collaborators of Whitney S. Griggs. A scholar is included among the top collaborators of Whitney S. Griggs 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 Whitney S. Griggs. Whitney S. Griggs 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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