J. D. Sharma

13 total papers · 469 total citations
9 papers, 317 citations indexed

About

J. D. Sharma is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, J. D. Sharma has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in J. D. Sharma's work include Handwritten Text Recognition Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers) and Digital Media Forensic Detection (2 papers). J. D. Sharma is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers) and Digital Media Forensic Detection (2 papers). J. D. Sharma collaborates with scholars based in India and United States. J. D. Sharma's co-authors include Rajesh Kumar, Bhabatosh Chanda, Kumarasamy Thangaraj, Lalji Singh, Singh Rajender, Khanjan Gandhi, Nikhil R. Pal, Darpan Anand, Gyaneshwer Chaubey and Rajeev Kumar and has published in prestigious journals such as Pattern Recognition Letters, IEEE Transactions on Information Forensics and Security and Forensic Science International.

In The Last Decade

J. D. Sharma

8 papers receiving 301 citations

Author Peers

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

Author Last Decade Papers Cites
J. D. Sharma 241 96 75 29 28 9 317
Timothy R. Thomas 181 0.8× 67 0.7× 120 1.6× 6 0.2× 23 0.8× 12 359
Venugopal Govindaraju 238 1.0× 65 0.7× 47 0.6× 5 0.2× 2 0.1× 15 307
Forest Agostinelli 117 0.5× 39 0.4× 91 1.2× 33 1.1× 2 0.1× 14 364
Onur C. Hamsici 254 1.1× 33 0.3× 109 1.5× 25 0.9× 13 333
Tasnim Ahmed 54 0.2× 31 0.3× 97 1.3× 10 0.3× 4 0.1× 24 349
Aditi Sakalle 69 0.3× 5 0.1× 103 1.4× 16 0.6× 5 0.2× 16 321
Helen M. Deeks 73 0.3× 16 0.2× 13 0.2× 95 3.3× 7 344
Amir Sadovnik 231 1.0× 17 0.2× 137 1.8× 4 0.1× 23 319
Da-Mi Jeong 202 0.8× 16 0.2× 50 0.7× 17 0.6× 1 0.0× 8 347
Nachiappan Valliappan 87 0.4× 31 0.3× 15 0.2× 5 0.2× 9 255

Countries citing papers authored by J. D. Sharma

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. Sharma

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