James Gao

10 total papers · 643 total citations
8 papers, 374 citations indexed

About

James Gao is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, James Gao has authored 8 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 1 paper in Control and Systems Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in James Gao's work include Functional Brain Connectivity Studies (3 papers), Visual perception and processing mechanisms (2 papers) and Advanced Optical Imaging Technologies (1 paper). James Gao is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Visual perception and processing mechanisms (2 papers) and Advanced Optical Imaging Technologies (1 paper). James Gao collaborates with scholars based in United States, United Kingdom and China. James Gao's co-authors include Jack L. Gallant, Alexander G. Huth, David M. Hoffman, Martin S. Banks, Gordon D. Love, Andrew K. Kirby, Philip J.W. Hands, Mark D. Lescroart, Anwar O. Núñez-Elizalde and Natalia Y. Bilenko and has published in prestigious journals such as Nature Neuroscience, Optics Express and Frontiers in Neuroscience.

In The Last Decade

James Gao

8 papers receiving 351 citations

Author Peers

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

Author						Papers	Cites
James Gao	227	167	120	72	27	8	374
Steven A. Cholewiak	283 1.2×	73 0.4×	83 0.7×	76 1.1×	12 0.4×	28	425
Rachel Albert	106 0.5×	213 1.3×	223 1.9×	207 2.9×	4 0.1×	13	413
Kai Schreiber	178 0.8×	30 0.2×	31 0.3×	43 0.6×	7 0.3×	13	354
Toni Järvenpää	142 0.6×	220 1.3×	177 1.5×	104 1.4×	2 0.1×	31	362
W. T. Lo	143 0.6×	161 1.0×	313 2.6×	86 1.2×		6	404
Xinda Hu	80 0.4×	306 1.8×	243 2.0×	119 1.7×	6 0.2×	14	404
William K. Krebs	121 0.5×	138 0.8×	12 0.1×	109 1.5×	9 0.3×	21	351
Radosław Mantiuk	103 0.5×	111 0.7×	65 0.5×	286 4.0×	5 0.2×	18	394
James Barabas	41 0.2×	264 1.6×	121 1.0×	72 1.0×	4 0.1×	24	384
Yuji Nojiri	176 0.8×	306 1.8×	230 1.9×	187 2.6×		33	439

Countries citing papers authored by James Gao

Since Specialization

Citations

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

Fields of papers citing papers by James Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Gao

This figure shows the co-authorship network connecting the top 25 collaborators of James Gao. A scholar is included among the top collaborators of James Gao 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 James Gao. James Gao 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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