Tarun Agrawal

38 total papers · 409 total citations
26 papers, 250 citations indexed

About

Tarun Agrawal is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Tarun Agrawal has authored 26 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in Tarun Agrawal's work include COVID-19 diagnosis using AI (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (5 papers). Tarun Agrawal is often cited by papers focused on COVID-19 diagnosis using AI (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (5 papers). Tarun Agrawal collaborates with scholars based in India, United Kingdom and Egypt. Tarun Agrawal's co-authors include Prakash Choudhary, Anjan Kumar, Prabhishek Singh, Manoj Diwakar, Subhasis Chaudhuri, Achyut Shankar, Sandeep Kumar, Vijay Kumar, Gaurav Sharma and Pooja Aggarwal and has published in prestigious journals such as Scientific Reports, Biomedical Signal Processing and Control and The Visual Computer.

In The Last Decade

Tarun Agrawal

22 papers receiving 232 citations

Author Peers

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

Author Last Decade Papers Cites
Tarun Agrawal 117 77 66 42 38 26 250
D. Narain Ponraj 106 0.9× 136 1.8× 82 1.2× 23 0.5× 44 1.2× 28 277
Abdulkader Helwan 92 0.8× 130 1.7× 56 0.8× 16 0.4× 12 0.3× 22 323
Philip Chikontwe 83 0.7× 145 1.9× 117 1.8× 20 0.5× 14 0.4× 26 310
Dathar Abas Hasan 71 0.6× 66 0.9× 53 0.8× 40 1.0× 12 0.3× 23 303
Dong Zhang 82 0.7× 66 0.9× 156 2.4× 10 0.2× 38 1.0× 32 329
Mehmood Nawaz 56 0.5× 34 0.4× 93 1.4× 44 1.0× 14 0.4× 28 304
Riaz Ali 83 0.7× 108 1.4× 134 2.0× 23 0.5× 8 0.2× 20 300
Deepak Parashar 150 1.3× 18 0.2× 132 2.0× 29 0.7× 9 0.2× 29 263
Zhezhou Yu 60 0.5× 94 1.2× 154 2.3× 12 0.3× 18 0.5× 22 276
Mohemmed Sha 59 0.5× 126 1.6× 55 0.8× 10 0.2× 9 0.2× 44 299

Countries citing papers authored by Tarun Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Tarun Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarun Agrawal

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