Vivek Sharma

39 total papers · 1.3k total citations
14 papers, 433 citations indexed

About

Vivek Sharma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Vivek Sharma has authored 14 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Vivek Sharma's work include Face and Expression Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Vivek Sharma is often cited by papers focused on Face and Expression Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Vivek Sharma collaborates with scholars based in Germany, Belgium and India. Vivek Sharma's co-authors include Rainer Stiefelhagen, Ali Diba, Luc Van Gool, Ali Mohammad Pazandeh, Hamed Pirsiavash, M. Saquib Sarfraz, Reza Safdari, Sandeep Kumar, Rajani Kumari and Mohammad Mahdi Arzani and has published in prestigious journals such as IEEE Transactions on Biometrics Behavior and Identity Science, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Vivek Sharma

14 papers receiving 420 citations

Author Peers

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

Author						Papers	Cites
Vivek Sharma	329	221	44	21	19	14	433
Gang Li	232 0.7×	174 0.8×	25 0.6×	15 0.7×	13 0.7×	22	382
Naresh Babu Bynagari	288 0.9×	136 0.6×	32 0.7×	15 0.7×	10 0.5×	14	485
Chenjie Cao	254 0.8×	179 0.8×	32 0.7×	11 0.5×	9 0.5×	22	453
Jiaxin Chen	276 0.8×	280 1.3×	25 0.6×	37 1.8×	32 1.7×	22	437
Guangyao Chen	136 0.4×	231 1.0×	32 0.7×	24 1.1×	25 1.3×	10	377
Philipp Benz	246 0.7×	237 1.1×	23 0.5×	22 1.0×	12 0.6×	12	439
Lei Shang	220 0.7×	184 0.8×	18 0.4×	27 1.3×	32 1.7×	24	417
Ruiwen Li	191 0.6×	293 1.3×	21 0.5×	38 1.8×	10 0.5×	12	408
Litao Yu	259 0.8×	172 0.8×	38 0.9×	22 1.0×	11 0.6×	27	394
Shuo Yang	218 0.7×	180 0.8×	36 0.8×	22 1.0×	22 1.2×	19	456

Countries citing papers authored by Vivek Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Vivek Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Sharma

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