Mostofa Patwary

69 total papers · 2.2k total citations
10 papers, 207 citations indexed

About

Mostofa Patwary is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mostofa Patwary has authored 10 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Mostofa Patwary's work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Graph Theory and Algorithms (2 papers). Mostofa Patwary is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Graph Theory and Algorithms (2 papers). Mostofa Patwary collaborates with scholars based in United States, Hong Kong and Norway. Mostofa Patwary's co-authors include Mohammad Shoeybi, Raul Puri, Hoo-Chang Shin, Yang Zhang, Bryan Catanzaro, Peng Xu, Anima Anandkumar, Fredrik Manne, Pascale Fung and Ankit Agrawal and has published in prestigious journals such as SIAM Journal on Scientific Computing and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Mostofa Patwary

9 papers receiving 196 citations

Author Peers

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

Author Last Decade Papers Cites
Mostofa Patwary 146 39 32 26 22 10 207
Oliver Eberle 173 1.2× 30 0.8× 16 0.5× 15 0.6× 17 0.8× 11 237
Lukas Gianinazzi 126 0.9× 49 1.3× 9 0.3× 27 1.0× 9 0.4× 11 207
Ehsan Zare Borzeshi 180 1.2× 53 1.4× 78 2.4× 10 0.4× 11 0.5× 14 231
Maosong Sun 209 1.4× 28 0.7× 13 0.4× 31 1.2× 45 2.0× 16 231
Yongduo Sui 177 1.2× 37 0.9× 11 0.3× 41 1.6× 14 0.6× 17 216
Wenmian Yang 163 1.1× 38 1.0× 27 0.8× 31 1.2× 7 0.3× 14 230
Chase Krumpelman 95 0.7× 30 0.8× 80 2.5× 29 1.1× 28 1.3× 9 217
Hengtong Zhang 126 0.9× 20 0.5× 21 0.7× 68 2.6× 13 0.6× 10 194
Aaditya Prakash 124 0.8× 91 2.3× 55 1.7× 15 0.6× 14 0.6× 14 223
Lingxiao Zhao 105 0.7× 69 1.8× 18 0.6× 12 0.5× 8 0.4× 14 178

Countries citing papers authored by Mostofa Patwary

Since Specialization
Citations

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

Fields of papers citing papers by Mostofa Patwary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mostofa Patwary

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