Gil S. Rind

35 total papers · 1.4k total citations
28 papers, 656 citations indexed

About

Gil S. Rind is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Gil S. Rind has authored 28 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 23 papers in Cellular and Molecular Neuroscience and 8 papers in Neurology. Recurrent topics in Gil S. Rind's work include Neuroscience and Neural Engineering (17 papers), EEG and Brain-Computer Interfaces (16 papers) and Neural dynamics and brain function (10 papers). Gil S. Rind is often cited by papers focused on Neuroscience and Neural Engineering (17 papers), EEG and Brain-Computer Interfaces (16 papers) and Neural dynamics and brain function (10 papers). Gil S. Rind collaborates with scholars based in Australia, Canada and United States. Gil S. Rind's co-authors include Terence J. O’Brien, Nicholas L. Opie, Stephen M. Ronayne, Sam E. John, Thomas J. Oxley, Clive N. May, David B. Grayden, Nigel C. Jones, Yan T. Wong and Matthew R. Hudson and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Gil S. Rind

27 papers receiving 645 citations

Author Peers

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

Author						Papers	Cites
Gil S. Rind	441	301	142	116	99	28	656
Gabriella Panuccio	417 0.9×	266 0.9×	131 0.9×	50 0.4×	106 1.1×	32	673
Jonas Thelin	435 1.0×	233 0.8×	119 0.8×	124 1.1×	42 0.4×	19	609
Ying Wang	520 1.2×	166 0.6×	174 1.2×	100 0.9×	78 0.8×	27	771
Doris Brötz	389 0.9×	223 0.7×	196 1.4×	128 1.1×	197 2.0×	20	736
Mark R. Witcher	458 1.0×	250 0.8×	121 0.9×	36 0.3×	109 1.1×	34	784
Aoi Odawara	539 1.2×	171 0.6×	272 1.9×	258 2.2×	39 0.4×	24	761
Hyun Joo Lee	317 0.7×	283 0.9×	103 0.7×	47 0.4×	79 0.8×	27	578
Ali Mohebi	474 1.1×	289 1.0×	303 2.1×	34 0.3×	43 0.4×	23	782
Ichiro Takashima	375 0.9×	339 1.1×	55 0.4×	79 0.7×	55 0.6×	46	653
Yue Li	388 0.9×	314 1.0×	136 1.0×	29 0.3×	59 0.6×	37	708

Countries citing papers authored by Gil S. Rind

Since Specialization

Citations

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

Fields of papers citing papers by Gil S. Rind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gil S. Rind

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