Girish Varma

48 total papers · 703 total citations
16 papers, 365 citations indexed

About

Girish Varma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Girish Varma has authored 16 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Materials Chemistry. Recurrent topics in Girish Varma's work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Machine Learning in Materials Science (3 papers). Girish Varma is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Machine Learning in Materials Science (3 papers). Girish Varma collaborates with scholars based in India, United States and Japan. Girish Varma's co-authors include C. V. Jawahar, Manmohan Chandraker, Anbumani Subramanian, Anoop Namboodiri, Tarun Kalluri, U. Deva Priyakumar, Yashaswi Pathak, Masahiro Ehara, Kurt Mehlhorn and Vincenzo Bonifaci and has published in prestigious journals such as Scientific Reports, Physical Chemistry Chemical Physics and Investigative Ophthalmology & Visual Science.

In The Last Decade

Girish Varma

14 papers receiving 352 citations

Author Peers

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

Author						Papers	Cites
Girish Varma	230	124	52	38	31	16	365
Michael S. Gashler	108 0.5×	160 1.3×	12 0.2×	10 0.3×	12 0.4×	16	390
Rui Chi	89 0.4×	113 0.9×	13 0.3×	13 0.3×	38 1.2×	19	343
Zhichao Song	195 0.8×	166 1.3×	11 0.2×	6 0.2×	9 0.3×	19	403
Jie Liu	167 0.7×	147 1.2×	17 0.3×	5 0.1×	14 0.5×	31	367
Di Wang	114 0.5×	137 1.1×	11 0.2×	9 0.2×	11 0.4×	24	309
Mark van der Wilk	80 0.3×	170 1.4×	101 1.9×	11 0.3×	33 1.1×	18	317
Chuming Li	183 0.8×	143 1.2×	12 0.2×	14 0.4×	10 0.3×	17	319
Erik Zamora	106 0.5×	160 1.3×	13 0.3×	7 0.2×	21 0.7×	25	391
Punit Rathore	69 0.3×	164 1.3×	11 0.2×	19 0.5×	9 0.3×	26	333
Yihong Xu	235 1.0×	59 0.5×	10 0.2×	7 0.2×	26 0.8×	28	340

Countries citing papers authored by Girish Varma

Since Specialization

Citations

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

Fields of papers citing papers by Girish Varma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Girish Varma

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