Anurag Sinha

177 total papers · 1.0k total citations
83 papers, 520 citations indexed

About

Anurag Sinha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Anurag Sinha has authored 83 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 17 papers in Computer Networks and Communications. Recurrent topics in Anurag Sinha's work include IoT and Edge/Fog Computing (8 papers), Video Surveillance and Tracking Methods (4 papers) and Blockchain Technology Applications and Security (4 papers). Anurag Sinha is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Video Surveillance and Tracking Methods (4 papers) and Blockchain Technology Applications and Security (4 papers). Anurag Sinha collaborates with scholars based in India, Iraq and Saudi Arabia. Anurag Sinha's co-authors include Biresh Kumar, Sharmistha Roy, Md. Mehedi Hassan, Saroj Kumar Pandey, Pallab Banerjee, Vandana Sharma, Ankit Kumar, Celestine Iwendi, Kamred Udham Singh and Atul Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Anurag Sinha

62 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
Anurag Sinha 95 93 84 73 73 83 520
Robert A. Sowah 45 0.5× 84 0.9× 65 0.8× 97 1.3× 179 2.5× 46 566
Elena Gaudioso 192 2.0× 33 0.4× 56 0.7× 159 2.2× 54 0.7× 34 513
Qing Yang 57 0.6× 73 0.8× 29 0.3× 106 1.5× 65 0.9× 44 603
Babak Majidi 90 0.9× 63 0.7× 245 2.9× 152 2.1× 52 0.7× 59 585
Rui Wang 28 0.3× 84 0.9× 108 1.3× 66 0.9× 65 0.9× 63 447
Andrea Giordano 57 0.6× 199 2.1× 69 0.8× 91 1.2× 184 2.5× 51 577
Alfred Daniel 87 0.9× 144 1.5× 93 1.1× 120 1.6× 168 2.3× 46 549
Ambarish G. Mohapatra 72 0.8× 118 1.3× 44 0.5× 92 1.3× 131 1.8× 33 582
Hongjun Dai 116 1.2× 194 2.1× 74 0.9× 80 1.1× 80 1.1× 66 556
Sung-Min Kim 40 0.4× 49 0.5× 58 0.7× 133 1.8× 88 1.2× 51 456

Countries citing papers authored by Anurag Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Anurag Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Sinha

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