Manoj Kumar Sharma

70 total papers · 505 total citations
36 papers, 307 citations indexed

About

Manoj Kumar Sharma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Manoj Kumar Sharma has authored 36 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Human-Computer Interaction. Recurrent topics in Manoj Kumar Sharma's work include Tactile and Sensory Interactions (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Interactive and Immersive Displays (3 papers). Manoj Kumar Sharma is often cited by papers focused on Tactile and Sensory Interactions (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Interactive and Immersive Displays (3 papers). Manoj Kumar Sharma collaborates with scholars based in India, South Africa and United States. Manoj Kumar Sharma's co-authors include N.A. Sushil, P. K. Jain, Debasis Samanta, R. S. Sengar, Debdoot Sheet, Prabir Kumar Biswas, Avinash Upadhyay, Sayan Sarcar, Amit Singhal and Neha Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Omega.

In The Last Decade

Manoj Kumar Sharma

33 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Manoj Kumar Sharma	81	46	41	28	27	36	307
Mona A. Mohamed	42 0.5×	49 1.1×	18 0.4×	16 0.6×	9 0.3×	38	316
Haslinda Musa	82 1.0×	33 0.7×	21 0.5×	10 0.4×	10 0.4×	34	341
Alrence Halibas	20 0.2×	56 1.2×	15 0.4×	6 0.2×	13 0.5×	24	356
Denis Silva da Silveira	13 0.2×	37 0.8×	38 0.9×	20 0.7×	12 0.4×	57	265
Siyuan Li	31 0.4×	34 0.7×	19 0.5×	9 0.3×	13 0.5×	37	339
Rami Alkhudary	59 0.7×	29 0.6×	69 1.7×	4 0.1×	12 0.4×	22	261
Carl Rebman	61 0.8×	46 1.0×	81 2.0×	11 0.4×	10 0.4×	37	329
Krishnadas Nanath	63 0.8×	33 0.7×	40 1.0×	7 0.3×	7 0.3×	21	316
Suparna Goswami	45 0.6×	26 0.6×	49 1.2×	49 1.8×	14 0.5×	36	357
Maria Rigou	8 0.1×	63 1.4×	26 0.6×	31 1.1×	18 0.7×	53	326

Countries citing papers authored by Manoj Kumar Sharma

Since Specialization

Citations

This map shows the geographic impact of Manoj Kumar 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 Kumar 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 Kumar Sharma more than expected).

Fields of papers citing papers by Manoj Kumar Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Kumar Sharma

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