Manoj Sharma

49 total papers · 511 total citations
28 papers, 321 citations indexed

About

Manoj Sharma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Manoj Sharma has authored 28 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Infectious Diseases. Recurrent topics in Manoj Sharma's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Imbalanced Data Classification Techniques (3 papers). Manoj Sharma is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Imbalanced Data Classification Techniques (3 papers). Manoj Sharma collaborates with scholars based in India, United States and Malaysia. Manoj Sharma's co-authors include Naresh Kumar, Vijay P. Singh, Sumit Kumar, Sharon L. Reed, Scott Herdman, Ken Hirata, Sarman Singh, Eelandula Kumaraswamy, Sangeeta Bhaskar and M. Lamba and has published in prestigious journals such as IEEE Access, Journal of Immunological Methods and Neural Computing and Applications.

In The Last Decade

Manoj Sharma

25 papers receiving 305 citations

Author Peers

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

Author Last Decade Papers Cites
Manoj Sharma 136 105 47 36 32 28 321
Suha Mohammed Hadi 116 0.9× 130 1.2× 34 0.7× 32 0.9× 19 0.6× 18 310
M.A. Ansari 89 0.7× 77 0.7× 109 2.3× 29 0.8× 5 0.2× 24 291
M.A. Abo-Elsoud 167 1.2× 162 1.5× 63 1.3× 30 0.8× 7 0.2× 19 330
Xiangbo Zhang 50 0.4× 83 0.8× 79 1.7× 30 0.8× 2 0.1× 24 275
Jacek Kawa 72 0.5× 52 0.5× 86 1.8× 8 0.2× 24 0.8× 24 274
Wei Jiang 85 0.6× 112 1.1× 42 0.9× 9 0.3× 24 0.8× 19 270
Xin Zhao 58 0.4× 51 0.5× 26 0.6× 56 1.6× 64 2.0× 20 338
Miao Wu 149 1.1× 96 0.9× 42 0.9× 12 0.3× 6 0.2× 13 316
Munmun Biswas 125 0.9× 30 0.3× 27 0.6× 33 0.9× 12 0.4× 16 320
Craig W. Bailey 34 0.3× 56 0.5× 49 1.0× 12 0.3× 16 0.5× 14 302

Countries citing papers authored by Manoj Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Sharma

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