Raghav Agarwal

63 total papers · 497 total citations
35 papers, 203 citations indexed

About

Raghav Agarwal is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raghav Agarwal has authored 35 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raghav Agarwal's work include AI in cancer detection (4 papers), Cloud Computing and Resource Management (4 papers) and COVID-19 diagnosis using AI (3 papers). Raghav Agarwal is often cited by papers focused on AI in cancer detection (4 papers), Cloud Computing and Resource Management (4 papers) and COVID-19 diagnosis using AI (3 papers). Raghav Agarwal collaborates with scholars based in India, United States and Belgium. Raghav Agarwal's co-authors include Sagar Dhanraj Pande, Harsh Vikram Singh, S. K. Jain, Sachi Nandan Mohanty, Sandeep Kumar Panda, Janjhyam Venkata Naga Ramesh, Aayush Jain, Ashish Kumar, Shalu Jain and Ashish Kumar and has published in prestigious journals such as IEEE Access, Multimedia Tools and Applications and Indian Journal of Labour Economics.

In The Last Decade

Raghav Agarwal

31 papers receiving 180 citations

Author Peers

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

Author Last Decade Papers Cites
Raghav Agarwal 66 55 50 27 27 35 203
Basem Assiri 41 0.6× 69 1.3× 52 1.0× 47 1.7× 23 0.9× 33 195
Narayan Vyas 62 0.9× 19 0.3× 33 0.7× 15 0.6× 22 0.8× 31 204
S. Sountharrajan 64 1.0× 34 0.6× 28 0.6× 26 1.0× 13 0.5× 40 201
Neha Sharma 111 1.7× 57 1.0× 18 0.4× 20 0.7× 33 1.2× 38 272
Hikmat A. M. Abdeljaber 64 1.0× 42 0.8× 17 0.3× 53 2.0× 11 0.4× 36 205
Jnyana Ranjan Mohanty 61 0.9× 80 1.5× 19 0.4× 81 3.0× 81 3.0× 28 269
Muhammet Sinan Başarslan 142 2.2× 38 0.7× 40 0.8× 12 0.4× 21 0.8× 27 220
Anas W. Abulfaraj 71 1.1× 33 0.6× 12 0.2× 45 1.7× 19 0.7× 26 202
Roshan Fernandes 113 1.7× 26 0.5× 65 1.3× 14 0.5× 14 0.5× 32 257
Khaled M. Fouad 133 2.0× 73 1.3× 32 0.6× 16 0.6× 27 1.0× 42 260

Countries citing papers authored by Raghav Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Raghav Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghav Agarwal

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