Yogesh Kumar Rathore

73 total papers · 519 total citations
28 papers, 275 citations indexed

About

Yogesh Kumar Rathore is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Yogesh Kumar Rathore has authored 28 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Plant Science. Recurrent topics in Yogesh Kumar Rathore's work include Smart Agriculture and AI (7 papers), AI in cancer detection (5 papers) and Leaf Properties and Growth Measurement (4 papers). Yogesh Kumar Rathore is often cited by papers focused on Smart Agriculture and AI (7 papers), AI in cancer detection (5 papers) and Leaf Properties and Growth Measurement (4 papers). Yogesh Kumar Rathore collaborates with scholars based in India, Saudi Arabia and Nepal. Yogesh Kumar Rathore's co-authors include Rekh Ram Janghel, Monica Ramchandani, Deepak Kumar Dewangan, Saroj Kumar Pandey, Ankit Kumar, Kamred Udham Singh, Rajeev Pandey, Teekam Singh, Uday Pratap Singh and Mohd Asif Shah and has published in prestigious journals such as Medical & Biological Engineering & Computing, Journal of Sensors and IRBM.

In The Last Decade

Yogesh Kumar Rathore

24 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Yogesh Kumar Rathore 94 74 61 60 50 28 275
Fathe Jeribi 43 0.5× 45 0.6× 80 1.3× 68 1.1× 24 0.5× 33 309
Md Tanzim Reza 73 0.8× 54 0.7× 126 2.1× 74 1.2× 18 0.4× 46 302
G. R. Sreekanth 38 0.4× 46 0.6× 46 0.8× 76 1.3× 16 0.3× 23 242
Karim Gasmi 54 0.6× 87 1.2× 116 1.9× 72 1.2× 17 0.3× 34 328
Juan E. Arco 33 0.4× 79 1.1× 70 1.1× 28 0.5× 11 0.2× 22 322
Amena Mahmoud 49 0.5× 74 1.0× 144 2.4× 32 0.5× 24 0.5× 26 323
Anandhavalli Muniasamy 56 0.6× 18 0.2× 79 1.3× 19 0.3× 25 0.5× 17 207
Maali Alabdulhafith 79 0.8× 79 1.1× 109 1.8× 8 0.1× 42 0.8× 38 302
Tarun Gulati 21 0.2× 63 0.9× 72 1.2× 27 0.5× 25 0.5× 31 319
K. Aditya Shastry 22 0.2× 18 0.2× 46 0.8× 45 0.8× 19 0.4× 29 207

Countries citing papers authored by Yogesh Kumar Rathore

Since Specialization
Citations

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

Fields of papers citing papers by Yogesh Kumar Rathore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yogesh Kumar Rathore

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