Renu Sharma

55 total papers · 597 total citations
29 papers, 438 citations indexed

About

Renu Sharma is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Renu Sharma has authored 29 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Signal Processing. Recurrent topics in Renu Sharma's work include Biometric Identification and Security (11 papers), Face recognition and analysis (10 papers) and Face and Expression Recognition (5 papers). Renu Sharma is often cited by papers focused on Biometric Identification and Security (11 papers), Face recognition and analysis (10 papers) and Face and Expression Recognition (5 papers). Renu Sharma collaborates with scholars based in United States, Canada and India. Renu Sharma's co-authors include Sanjay Awasthi, Sharad S. Singhal, Piotr Zimniak, Sanjay Srivastava, Charles C. Bigelow, Emmanuel Farber, Robert K. Murray, Arun Ross, M. Waheed Roomi and Thomas H. Rushmore and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemical Journal.

In The Last Decade

Renu Sharma

28 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Renu Sharma 236 104 80 41 39 29 438
Julie Liu 130 0.6× 25 0.2× 67 0.8× 7 0.2× 24 0.6× 19 387
Raul Sutton 266 1.1× 52 0.5× 10 0.1× 6 0.1× 36 0.9× 26 455
Jiangyu Zhang 148 0.6× 60 0.6× 7 0.1× 7 0.2× 46 1.2× 51 474
Jianyun Lu 281 1.2× 8 0.1× 29 0.4× 5 0.1× 29 0.7× 31 463
Haoyu Wang 124 0.5× 19 0.2× 7 0.1× 6 0.1× 44 1.1× 49 472
Ádám Arany 191 0.8× 12 0.1× 19 0.2× 15 0.4× 44 1.1× 24 373
Katarína Furmanová 241 1.0× 5 0.0× 76 0.9× 13 0.3× 48 1.2× 23 383
Zuping Zhang 372 1.6× 22 0.2× 11 0.1× 20 0.5× 21 0.5× 22 493
Qi Jiang 150 0.6× 14 0.1× 6 0.1× 21 0.5× 13 0.3× 20 421
Wen Xiao 115 0.5× 11 0.1× 5 0.1× 18 0.4× 29 0.7× 25 373

Countries citing papers authored by Renu Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Renu Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renu Sharma

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