Mostofa Patwary

2.2k citations
10 papers · 210 indexed · h-index 5
Topics
Topic Modeling (6 papers)Natural Language Processing Techniques (6 papers)Graph Theory and Algorithms (2 papers)
Journals
SIAM Journal on Scientific ComputingRare & Special e-Zone (The Hong Kong University of Science and Technology)

In The Last Decade

Mostofa Patwary

9 papers receiving 200 citations

Peers

Mostofa Patwary
Comparison fields: 5 of 56
  • Artificial Intelligence 147
  • Computer Vision and Pattern Recognition 39
  • Molecular Biology 32
  • Information Systems 26
  • Signal Processing 22
Replace Avinava Dubey with:
Avinava Dubey United States
Ehsan Zare Borzeshi Australia
Delaram Kahrobaei United States
Yuning Mao United States
Yunzhi Yao China
Mosha Chen China
Siyuan Cheng China
Maosong Sun China
Vincent Zhao United States
Yuxian Gu China
Mostofa Patwary relative to Avinava Dubey United States Avinava Dubey's profile →
Citations per field
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Avinava Dubey · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 0
2 4
3 2
4 1
5 68
6 62
7 3
8 24
9 36
10
User-Interest based Community Extraction in Social Networks
10

About Mostofa Patwary

Mostofa Patwary is a scholar working on General Social Sciences, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 210 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Health Informatics (15 citations), Artificial Intelligence (147 citations) and Signal Processing (22 citations). Mostofa Patwary has collaborated with scholars based in United States, Hong Kong and Norway. Frequent co-authors include Mohammad Shoeybi, Raul Puri, Yang Zhang, Bryan Catanzaro, Hoo-Chang Shin, Fredrik Manne, Anima Anandkumar, Peng Xu, Pascale Fung and Alok Choudhary. Their work appears in journals such as SIAM Journal on Scientific Computing and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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