R. Srebro

64 total papers · 957 total citations
53 papers, 773 citations indexed

About

R. Srebro is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing. According to data from OpenAlex, R. Srebro has authored 53 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 8 papers in Signal Processing. Recurrent topics in R. Srebro's work include Neural dynamics and brain function (30 papers), Visual perception and processing mechanisms (26 papers) and Photoreceptor and optogenetics research (11 papers). R. Srebro is often cited by papers focused on Neural dynamics and brain function (30 papers), Visual perception and processing mechanisms (26 papers) and Photoreceptor and optogenetics research (11 papers). R. Srebro collaborates with scholars based in United States. R. Srebro's co-authors include C.E. Davila, John Krauskopf, Phillip D. Purdy, Michael M. Behbehani, Joseph M. Martinez, Stephen Yeandle, Bruce A. Berkowitz, Charles A. Wilson, Weldon Wright and R. Soria-Ruiz and has published in prestigious journals such as Science, The Journal of Physiology and Brain Research.

In The Last Decade

R. Srebro

52 papers receiving 711 citations

Author Peers

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

Author						Papers	Cites
R. Srebro	523	196	154	109	81	53	773
Ye Liu	455 0.9×	168 0.9×	96 0.6×	38 0.3×	55 0.7×	38	877
H. P. Snippe	681 1.3×	181 0.9×	98 0.6×	10 0.1×	51 0.6×	29	837
Tsunehiro Takeda	527 1.0×	55 0.3×	31 0.2×	47 0.4×	32 0.4×	77	890
Chengcheng Han	405 0.8×	185 0.9×	34 0.2×	33 0.3×	65 0.8×	57	683
Theodore E. Cohn	617 1.2×	97 0.5×	83 0.5×	18 0.2×	30 0.4×	65	900
Floris L. van Nes	600 1.1×	53 0.3×	98 0.6×	66 0.6×	28 0.3×	24	885
Tobe Freeman	650 1.2×	309 1.6×	107 0.7×	11 0.1×	80 1.0×	12	735
G. D. Dawson	441 0.8×	272 1.4×	122 0.8×	84 0.8×	7 0.1×	15	867
G. D. McCann	279 0.5×	491 2.5×	86 0.6×	42 0.4×	28 0.3×	34	905
James Gaska	728 1.4×	250 1.3×	100 0.6×	19 0.2×	17 0.2×	28	815

Countries citing papers authored by R. Srebro

Since Specialization

Citations

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

Fields of papers citing papers by R. Srebro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Srebro

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