Gopal Chaudhary

80 total papers · 815 total citations
46 papers, 428 citations indexed

About

Gopal Chaudhary is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Gopal Chaudhary has authored 46 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Gopal Chaudhary's work include Biometric Identification and Security (9 papers), Face recognition and analysis (7 papers) and Face and Expression Recognition (6 papers). Gopal Chaudhary is often cited by papers focused on Biometric Identification and Security (9 papers), Face recognition and analysis (7 papers) and Face and Expression Recognition (6 papers). Gopal Chaudhary collaborates with scholars based in India, Spain and United States. Gopal Chaudhary's co-authors include Manju Khari, Smriti Srivastava, Meenu Gupta, Rubén González Crespo, Rachna Jain, Hasmat Malik, Rajesh Kaluri, Ninni Singh, Nancy Victor and Kuruva Lakshmanna and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Computer Communications.

In The Last Decade

Gopal Chaudhary

42 papers receiving 407 citations

Author Peers

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

Author Last Decade Papers Cites
Gopal Chaudhary 98 92 46 46 40 46 428
P. Asha 89 0.9× 52 0.6× 65 1.4× 28 0.6× 80 2.0× 58 488
Narina Thakur 120 1.2× 102 1.1× 37 0.8× 21 0.5× 56 1.4× 28 433
Jeonghong Kim 129 1.3× 113 1.2× 56 1.2× 18 0.4× 47 1.2× 27 405
Sujata Chakravarty 165 1.7× 73 0.8× 73 1.6× 52 1.1× 42 1.1× 52 483
George E. Sakr 90 0.9× 82 0.9× 22 0.5× 64 1.4× 35 0.9× 22 465
Ioannis Rallis 115 1.2× 154 1.7× 27 0.6× 19 0.4× 63 1.6× 43 481
Xinxin Zhou 165 1.7× 99 1.1× 58 1.3× 39 0.8× 47 1.2× 29 382
Sonain Jamil 79 0.8× 126 1.4× 48 1.0× 34 0.7× 23 0.6× 33 457
Mohammed Khalaf 107 1.1× 38 0.4× 49 1.1× 25 0.5× 34 0.8× 38 376
Prateek Chaturvedi 100 1.0× 63 0.7× 90 2.0× 20 0.4× 63 1.6× 40 488

Countries citing papers authored by Gopal Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Gopal Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopal Chaudhary

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