Sudipta Mahapatra

79 total papers · 785 total citations
57 papers, 511 citations indexed

About

Sudipta Mahapatra is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sudipta Mahapatra has authored 57 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 21 papers in Computer Networks and Communications and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sudipta Mahapatra's work include Optical Network Technologies (10 papers), Advanced Data Compression Techniques (9 papers) and Image and Video Quality Assessment (8 papers). Sudipta Mahapatra is often cited by papers focused on Optical Network Technologies (10 papers), Advanced Data Compression Techniques (9 papers) and Image and Video Quality Assessment (8 papers). Sudipta Mahapatra collaborates with scholars based in India, United States and Australia. Sudipta Mahapatra's co-authors include Urmila Bhanja, Sieteng Soh, Neeraj Kumar Goyal, Ankit Bansal, Cheruvu Siva Kumar, Sumit Maheshwari, Rajarshi Roy, Shailendra K. Varshney, Avik Dutt and Pabitra Mohan Khilar and has published in prestigious journals such as Information Sciences, Applied Soft Computing and Reliability Engineering & System Safety.

In The Last Decade

Sudipta Mahapatra

56 papers receiving 470 citations

Author Peers

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

Author Last Decade Papers Cites
Sudipta Mahapatra 240 232 109 85 72 57 511
Alade Tokuta 180 0.8× 329 1.4× 132 1.2× 54 0.6× 35 0.5× 47 533
Nadia N. Qadri 224 0.9× 239 1.0× 79 0.7× 90 1.1× 26 0.4× 47 513
Alok Prakash 246 1.0× 265 1.1× 95 0.9× 46 0.5× 35 0.5× 46 536
Hui Liu 108 0.5× 176 0.8× 187 1.7× 148 1.7× 60 0.8× 43 534
Dun Cao 274 1.1× 198 0.9× 58 0.5× 49 0.6× 30 0.4× 30 457
Dan Tao 183 0.8× 304 1.3× 93 0.9× 87 1.0× 59 0.8× 67 550
Evgeny Belyaev 256 1.1× 172 0.7× 310 2.8× 71 0.8× 125 1.7× 50 569
Raja Muthalagu 161 0.7× 235 1.0× 95 0.9× 156 1.8× 100 1.4× 89 538
Kamal Jamshidi 107 0.4× 254 1.1× 202 1.9× 119 1.4× 38 0.5× 67 566
A. Manikandan 156 0.7× 184 0.8× 105 1.0× 156 1.8× 21 0.3× 46 536

Countries citing papers authored by Sudipta Mahapatra

Since Specialization
Citations

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

Fields of papers citing papers by Sudipta Mahapatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudipta Mahapatra

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