Sasidhar Madugula

37 total papers · 436 total citations
17 papers, 226 citations indexed

About

Sasidhar Madugula is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Sasidhar Madugula has authored 17 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Sasidhar Madugula's work include Neuroscience and Neural Engineering (15 papers), Photoreceptor and optogenetics research (9 papers) and Advanced Memory and Neural Computing (8 papers). Sasidhar Madugula is often cited by papers focused on Neuroscience and Neural Engineering (15 papers), Photoreceptor and optogenetics research (9 papers) and Advanced Memory and Neural Computing (8 papers). Sasidhar Madugula collaborates with scholars based in United States, Poland and United Kingdom. Sasidhar Madugula's co-authors include E. J. Chichilnisky, A. M. Litke, Paweł Hottowy, Lauren E. Grosberg, Alexander Sher, W. Dąbrowski, Gonzalo E. Mena, Subhasish Mitra, Eugene Duff and Tamar R. Makin and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Sasidhar Madugula

16 papers receiving 225 citations

Author Peers

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

Author Last Decade Papers Cites
Sasidhar Madugula 182 132 123 13 9 17 226
Vito De Feo 109 0.6× 125 0.9× 169 1.4× 13 1.0× 3 0.3× 14 322
Genki Minamisawa 251 1.4× 296 2.2× 40 0.3× 12 0.9× 4 0.4× 11 327
Cristiano Capone 118 0.6× 249 1.9× 60 0.5× 9 0.7× 6 0.7× 22 283
Daisuke Shimaoka 156 0.9× 212 1.6× 29 0.2× 26 2.0× 8 0.9× 11 290
Damien Depannemaecker 90 0.5× 177 1.3× 39 0.3× 20 1.5× 20 2.2× 24 232
Rebeca Corralejo 123 0.7× 270 2.0× 67 0.5× 4 0.3× 6 0.7× 11 285
Yue Zhang 78 0.4× 185 1.4× 54 0.4× 3 0.2× 6 0.7× 19 236
Sivylla E. Paraskevopoulou 134 0.7× 245 1.9× 104 0.8× 5 0.4× 8 0.9× 12 293
Sukbin Lim 138 0.8× 265 2.0× 85 0.7× 23 1.8× 3 0.3× 14 303
Julio I. Chapeton 80 0.4× 186 1.4× 27 0.2× 21 1.6× 5 0.6× 14 244

Countries citing papers authored by Sasidhar Madugula

Since Specialization
Citations

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

Fields of papers citing papers by Sasidhar Madugula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sasidhar Madugula

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