Tejas Gokhale

72 total papers · 534 total citations
20 papers, 214 citations indexed

About

Tejas Gokhale is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Tejas Gokhale has authored 20 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 1 paper in Infectious Diseases. Recurrent topics in Tejas Gokhale's work include Multimodal Machine Learning Applications (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Tejas Gokhale is often cited by papers focused on Multimodal Machine Learning Applications (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Tejas Gokhale collaborates with scholars based in United States, India and United Kingdom. Tejas Gokhale's co-authors include Chitta Baral, Yezhou Yang, Pratyay Banerjee, Zhiyuan Fang, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Rushil Anirudh, Arindam Mitra, Abhishek Chaudhary and Maitreya Patel and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Maryland Shared Open Access Repository (USMAI Consortium) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Tejas Gokhale

17 papers receiving 212 citations

Author Peers

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

Author						Papers	Cites
Tejas Gokhale	165	160	6	6	5	20	214
Jiangtong Li	162 1.0×	158 1.0×	8 1.3×	6 1.0×	8 1.6×	16	262
Tameem Adel	142 0.9×	72 0.5×	5 0.8×	7 1.2×	3 0.6×	16	188
Duzhen Zhang	143 0.9×	119 0.7×	9 1.5×	12 2.0×	6 1.2×	17	219
Hanbin Zhao	171 1.0×	126 0.8×	7 1.2×	22 3.7×	3 0.6×	20	243
P J Antony	216 1.3×	83 0.5×	13 2.2×	4 0.7×	4 0.8×	23	255
Assaf Arbelle	113 0.7×	101 0.6×	22 3.7×	9 1.5×	6 1.2×	11	190
L. K. Li	92 0.6×	74 0.5×	6 1.0×	8 1.3×	13 2.6×	22	144
Paul Hongsuck Seo	115 0.7×	230 1.4×	5 0.8×	6 1.0×	2 0.4×	15	307
Mohammad Saberian	113 0.7×	169 1.1×	7 1.2×	7 1.2×	2 0.4×	19	240
Chuanjian Liu	210 1.3×	197 1.2×	8 1.3×	18 3.0×	4 0.8×	15	305

Countries citing papers authored by Tejas Gokhale

Since Specialization

Citations

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

Fields of papers citing papers by Tejas Gokhale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejas Gokhale

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