Manas Ranjan Prusty

54 total papers · 814 total citations
32 papers, 442 citations indexed

About

Manas Ranjan Prusty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Manas Ranjan Prusty has authored 32 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Manas Ranjan Prusty's work include AI in cancer detection (6 papers), COVID-19 diagnosis using AI (4 papers) and Fault Detection and Control Systems (3 papers). Manas Ranjan Prusty is often cited by papers focused on AI in cancer detection (6 papers), COVID-19 diagnosis using AI (4 papers) and Fault Detection and Control Systems (3 papers). Manas Ranjan Prusty collaborates with scholars based in India, United States and Israel. Manas Ranjan Prusty's co-authors include K. Velusamy, Manoj Kumar, Rajeev K. Varshney, Abhishek Bohra, Manish K. Pandey, Baozhu Guo, Prashant Kumar Singh, A. Balasundaram, Shaurya Gupta and Ambreen Bano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Manas Ranjan Prusty

29 papers receiving 426 citations

Author Peers

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

Author Last Decade Papers Cites
Manas Ranjan Prusty 140 92 89 60 57 32 442
P. Punitha 77 0.6× 99 1.1× 38 0.4× 18 0.3× 185 3.2× 47 410
Muhammad Umar Nasir 172 1.2× 58 0.6× 102 1.1× 48 0.8× 42 0.7× 31 436
Ernest Mwebaze 98 0.7× 154 1.7× 30 0.3× 17 0.3× 101 1.8× 27 425
Kui Fang 73 0.5× 88 1.0× 25 0.3× 84 1.4× 35 0.6× 38 415
SM Apoorva 72 0.5× 38 0.4× 37 0.4× 13 0.2× 115 2.0× 17 431
Sanju Tiwari 159 1.1× 71 0.8× 54 0.6× 11 0.2× 61 1.1× 26 480
R. R. Sedamkar 130 0.9× 56 0.6× 75 0.8× 14 0.2× 165 2.9× 29 469
Baljit Singh Khehra 116 0.8× 96 1.0× 36 0.4× 15 0.3× 165 2.9× 40 449
Chetna Kaushal 202 1.4× 25 0.3× 104 1.2× 44 0.7× 91 1.6× 43 430
Mohammad Abdul Azim 98 0.7× 20 0.2× 56 0.6× 21 0.3× 56 1.0× 28 377

Countries citing papers authored by Manas Ranjan Prusty

Since Specialization
Citations

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

Fields of papers citing papers by Manas Ranjan Prusty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manas Ranjan Prusty. 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 Manas Ranjan Prusty. The network helps show where Manas Ranjan Prusty may publish in the future.

Co-authorship network of co-authors of Manas Ranjan Prusty

This figure shows the co-authorship network connecting the top 25 collaborators of Manas Ranjan Prusty. A scholar is included among the top collaborators of Manas Ranjan Prusty 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 Manas Ranjan Prusty. Manas Ranjan Prusty 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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