Shivam Agarwal

70 total papers · 671 total citations
42 papers, 425 citations indexed

About

Shivam Agarwal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shivam Agarwal has authored 42 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Shivam Agarwal's work include Data Visualization and Analytics (8 papers), Advanced Drug Delivery Systems (4 papers) and Drug Solubulity and Delivery Systems (3 papers). Shivam Agarwal is often cited by papers focused on Data Visualization and Analytics (8 papers), Advanced Drug Delivery Systems (4 papers) and Drug Solubulity and Delivery Systems (3 papers). Shivam Agarwal collaborates with scholars based in India, United States and Germany. Shivam Agarwal's co-authors include Rajesh Khanna, Alka Ahuja, Sanjula Baboota, Fabian Beck, Ramit Sawhney, Günter Wallner, Anil Kumar, Preslav Nakov, Anil Kumar and Jiawei Han and has published in prestigious journals such as Computer Graphics Forum, Cyberpsychology Behavior and Social Networking and Journal of Food and Drug Analysis.

In The Last Decade

Shivam Agarwal

33 papers receiving 382 citations

Author Peers

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

Author Last Decade Papers Cites
Shivam Agarwal 149 114 101 38 26 42 425
Pengyu Li 101 0.7× 36 0.3× 41 0.4× 77 2.0× 26 1.0× 28 378
Georgi Georgiev 139 0.9× 89 0.8× 9 0.1× 33 0.9× 23 0.9× 52 367
Ramanathan Lakshmanan 109 0.7× 109 1.0× 19 0.2× 70 1.8× 105 4.0× 58 429
Yujing Zhang 91 0.6× 165 1.4× 6 0.1× 94 2.5× 23 0.9× 30 407
Yuxin Wang 140 0.9× 52 0.5× 29 0.3× 90 2.4× 123 4.7× 49 464
Lei Zhang 191 1.3× 117 1.0× 10 0.1× 30 0.8× 55 2.1× 51 407
Kang Min Yoo 285 1.9× 27 0.2× 12 0.1× 102 2.7× 5 0.2× 25 395
Muhammad Umar Nasir 172 1.2× 49 0.4× 16 0.2× 42 1.1× 51 2.0× 31 436
Andreas Schräder 21 0.1× 38 0.3× 17 0.2× 120 3.2× 77 3.0× 54 381
Jorge Ropero 55 0.4× 37 0.3× 32 0.3× 10 0.3× 18 0.7× 30 420

Countries citing papers authored by Shivam Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Shivam Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivam Agarwal

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