Bahman Bahmani

21 total papers · 1.7k total citations
11 papers, 949 citations indexed

About

Bahman Bahmani is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Bahman Bahmani has authored 11 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 4 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Bahman Bahmani's work include Caching and Content Delivery (4 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). Bahman Bahmani is often cited by papers focused on Caching and Content Delivery (4 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). Bahman Bahmani collaborates with scholars based in United States and United Kingdom. Bahman Bahmani's co-authors include Ravi Kumar, Sergei Vassilvitskii, Ashish Goel, Benjamin Moseley, Andrea Vattani, Abdur Chowdhury, Kaushik Chakrabarti, Dong Xin, Mohammad Mahdian and Eli Upfal and has published in prestigious journals such as Proceedings of the VLDB Endowment, Theory of Computing and arXiv (Cornell University).

In The Last Decade

Bahman Bahmani

11 papers receiving 909 citations

Hit Papers

Scalable k-means++ 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Bahman Bahmani 521 338 271 262 253 11 949
Md. Mostofa Ali Patwary 541 1.0× 461 1.4× 352 1.3× 307 1.2× 167 0.7× 28 1.1k
Aneesh Sharma 407 0.8× 277 0.8× 299 1.1× 428 1.6× 400 1.6× 27 1.1k
Andrea Vattani 474 0.9× 192 0.6× 158 0.6× 144 0.5× 97 0.4× 14 828
Michalis Potamias 311 0.6× 265 0.8× 318 1.2× 203 0.8× 159 0.6× 16 913
Reid Andersen 552 1.1× 224 0.7× 370 1.4× 285 1.1× 602 2.4× 25 1.2k
Mauro Sozio 494 0.9× 157 0.5× 366 1.4× 204 0.8× 289 1.1× 33 919
Douglass R. Cutting 821 1.6× 231 0.7× 186 0.7× 521 2.0× 85 0.3× 6 1.1k
Nisheeth Shrivastava 307 0.6× 171 0.5× 518 1.9× 119 0.5× 160 0.6× 17 882
Meili Tang 439 0.8× 172 0.5× 194 0.7× 211 0.8× 136 0.5× 23 826
Santosh Vempala 452 0.9× 276 0.8× 114 0.4× 100 0.4× 245 1.0× 8 1.0k

Countries citing papers authored by Bahman Bahmani

Since Specialization
Citations

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

Fields of papers citing papers by Bahman Bahmani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bahman Bahmani

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