Pradeep K. Sinha

112 total papers · 1.6k total citations
70 papers, 974 citations indexed

About

Pradeep K. Sinha is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Pradeep K. Sinha has authored 70 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Control and Systems Engineering and 14 papers in Information Systems. Recurrent topics in Pradeep K. Sinha's work include Magnetic Bearings and Levitation Dynamics (11 papers), Distributed and Parallel Computing Systems (9 papers) and Distributed systems and fault tolerance (7 papers). Pradeep K. Sinha is often cited by papers focused on Magnetic Bearings and Levitation Dynamics (11 papers), Distributed and Parallel Computing Systems (9 papers) and Distributed systems and fault tolerance (7 papers). Pradeep K. Sinha collaborates with scholars based in India, United Kingdom and United States. Pradeep K. Sinha's co-authors include Vrushali Kulkarni, A. Pandurangan, Eric Grimson, Narasimhan Gokulakrishnan, Ayush Singhal, B.V. Jayawant, Aaron R. Wheeler, Dimitri Z. Pitovski, Richard L. Arden and Kapil Wankhade and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Chemosphere.

In The Last Decade

Pradeep K. Sinha

55 papers receiving 907 citations

Author Peers

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

Author Last Decade Papers Cites
Pradeep K. Sinha 214 171 167 153 146 70 974
Xiang Song 298 1.4× 126 0.7× 53 0.3× 44 0.3× 186 1.3× 55 1.1k
Vikas Kumar 90 0.4× 118 0.7× 118 0.7× 65 0.4× 69 0.5× 60 813
Melanie Po‐Leen Ooi 107 0.5× 115 0.7× 76 0.5× 146 1.0× 45 0.3× 94 1.0k
Bing Shi 316 1.5× 173 1.0× 66 0.4× 88 0.6× 337 2.3× 91 1.2k
Yanjun Shi 131 0.6× 107 0.6× 168 1.0× 65 0.4× 52 0.4× 77 1.0k
Jian Wan 142 0.7× 109 0.6× 271 1.6× 282 1.8× 68 0.5× 86 1.1k
Zhendong Wang 530 2.5× 398 2.3× 101 0.6× 103 0.7× 59 0.4× 103 1.2k
Jian Chen 457 2.1× 149 0.9× 419 2.5× 70 0.5× 118 0.8× 70 1.2k
Adil Hussein Mohammed 220 1.0× 249 1.5× 141 0.8× 68 0.4× 85 0.6× 71 1.2k
Emiro De-La-Hoz-Franco 362 1.7× 320 1.9× 43 0.3× 193 1.3× 151 1.0× 42 943

Countries citing papers authored by Pradeep K. Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep K. Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep K. Sinha. 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 Pradeep K. Sinha. The network helps show where Pradeep K. Sinha may publish in the future.

Co-authorship network of co-authors of Pradeep K. Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep K. Sinha. A scholar is included among the top collaborators of Pradeep K. Sinha 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 Pradeep K. Sinha. Pradeep K. Sinha 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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2026