Banit Agrawal

36 total papers · 733 total citations
28 papers, 555 citations indexed

About

Banit Agrawal is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Banit Agrawal has authored 28 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 18 papers in Hardware and Architecture and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Banit Agrawal's work include Parallel Computing and Optimization Techniques (14 papers), Interconnection Networks and Systems (10 papers) and Software System Performance and Reliability (8 papers). Banit Agrawal is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Interconnection Networks and Systems (10 papers) and Software System Performance and Reliability (8 papers). Banit Agrawal collaborates with scholars based in United States. Banit Agrawal's co-authors include Timothy Sherwood, Navin Srivastava, Sheng‐Chih Lin, Kaustav Banerjee, Shashidhar Mysore, Walid Najjar, Jun Yang, Jonathan Valamehr, Mohit Tiwari and Frederic T. Chong and has published in prestigious journals such as IEEE Transactions on Computers, IEEE/ACM Transactions on Networking and ACM SIGPLAN Notices.

In The Last Decade

Banit Agrawal

27 papers receiving 527 citations

Author Peers

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

Author Last Decade Papers Cites
Banit Agrawal 383 381 281 103 39 28 555
Joshua San Miguel 426 1.1× 367 1.0× 430 1.5× 109 1.1× 40 1.0× 46 672
Elaheh Bozorgzadeh 456 1.2× 301 0.8× 321 1.1× 50 0.5× 10 0.3× 38 567
Zhiyi Yu 424 1.1× 416 1.1× 318 1.1× 67 0.7× 45 1.2× 63 649
Florian Kriebel 334 0.9× 227 0.6× 490 1.7× 32 0.3× 24 0.6× 38 607
K.H. Kim 344 0.9× 402 1.1× 112 0.4× 34 0.3× 41 1.1× 44 534
Benoît Dupont de Dinechin 414 1.1× 307 0.8× 122 0.4× 54 0.5× 32 0.8× 34 531
A. El-Amawy 192 0.5× 428 1.1× 311 1.1× 48 0.5× 12 0.3× 38 589
Srinivasa R. Sridhara 223 0.6× 326 0.9× 603 2.1× 37 0.4× 8 0.2× 17 683
Efraim Rotem 425 1.1× 337 0.9× 291 1.0× 44 0.4× 171 4.4× 17 633
Shih-Chieh Chang 381 1.0× 163 0.4× 448 1.6× 182 1.8× 14 0.4× 55 667

Countries citing papers authored by Banit Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Banit Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Banit Agrawal

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