Subho S. Banerjee

29 total papers · 461 total citations
18 papers, 200 citations indexed

About

Subho S. Banerjee is a scholar working on Computer Networks and Communications, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Subho S. Banerjee has authored 18 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Subho S. Banerjee's work include Distributed and Parallel Computing Systems (5 papers), Algorithms and Data Compression (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Subho S. Banerjee is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Algorithms and Data Compression (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Subho S. Banerjee collaborates with scholars based in United States, Switzerland and China. Subho S. Banerjee's co-authors include Ravishankar K. Iyer, Zbigniew Kalbarczyk, Saurabh Jha, Arjun P. Athreya, Liewei Wang, Haoran Qiu, William V. Bobo, Jeremy Enos, Drew Neavin and C. Victor Jongeneel and has published in prestigious journals such as Journal of Physics Conference Series, Networked Systems Design and Implementation and arXiv (Cornell University).

In The Last Decade

Subho S. Banerjee

18 papers receiving 190 citations

Author Peers

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

Author Last Decade Papers Cites
Subho S. Banerjee 64 60 49 41 41 18 200
Youcef Gheraibia 64 1.0× 51 0.8× 11 0.2× 67 1.6× 24 0.6× 15 195
Antonio Pérez 24 0.4× 42 0.7× 32 0.7× 37 0.9× 7 0.2× 19 159
Tommaso Dreossi 13 0.2× 88 1.5× 35 0.7× 10 0.2× 21 0.5× 15 195
Marcus Nolte 36 0.6× 48 0.8× 51 1.0× 20 0.5× 24 0.6× 19 161
Jonathan Voris 92 1.4× 54 0.9× 23 0.5× 128 3.1× 7 0.2× 19 236
Håkan Sivencrona 82 1.3× 19 0.3× 28 0.6× 15 0.4× 43 1.0× 21 189
Ben Nassi 40 0.6× 92 1.5× 24 0.5× 36 0.9× 7 0.2× 19 246
Qingzhao Zhang 16 0.3× 78 1.3× 58 1.2× 44 1.1× 17 0.4× 20 192
Ryan W. Gardner 50 0.8× 93 1.6× 31 0.6× 34 0.8× 11 0.3× 16 174
Lisa Torrey 28 0.4× 189 3.1× 13 0.3× 15 0.4× 6 0.1× 15 264

Countries citing papers authored by Subho S. Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Subho S. Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subho S. Banerjee. 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 Subho S. Banerjee. The network helps show where Subho S. Banerjee may publish in the future.

Co-authorship network of co-authors of Subho S. Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Subho S. Banerjee. A scholar is included among the top collaborators of Subho S. Banerjee 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 Subho S. Banerjee. Subho S. Banerjee 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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