Hamid Palangi

109 total papers · 3.6k total citations
32 papers, 962 citations indexed

About

Hamid Palangi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hamid Palangi has authored 32 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hamid Palangi's work include Topic Modeling (12 papers), Natural Language Processing Techniques (7 papers) and Blind Source Separation Techniques (7 papers). Hamid Palangi is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (7 papers) and Blind Source Separation Techniques (7 papers). Hamid Palangi collaborates with scholars based in United States, Canada and United Kingdom. Hamid Palangi's co-authors include Rabab Ward, Jianfeng Gao, Luowei Zhou, Houdong Hu, Lei Zhang, Jason J. Corso, Li Deng, Z. Jane Wang, Ramy Hussein and Paul Smolensky and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Clinical Neurophysiology.

In The Last Decade

Hamid Palangi

29 papers receiving 928 citations

Hit Papers

Unified Vision-Language P... 2020 2026 2022 2024 2020 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
Hamid Palangi 524 452 198 166 96 32 962
Bharat Richhariya 419 0.8× 537 1.2× 155 0.8× 90 0.5× 29 0.3× 19 980
J.C. Principe 173 0.3× 319 0.7× 174 0.9× 285 1.7× 229 2.4× 26 988
Jihun Hamm 617 1.2× 290 0.6× 97 0.5× 87 0.5× 60 0.6× 35 1.1k
Austin J. Brockmeier 169 0.3× 290 0.6× 272 1.4× 92 0.6× 60 0.6× 44 1.1k
Bappaditya Mandal 624 1.2× 175 0.4× 109 0.6× 185 1.1× 38 0.4× 56 1.2k
Yi Niu 706 1.3× 195 0.4× 299 1.5× 102 0.6× 30 0.3× 74 1.2k
Xiaohong Han 219 0.4× 378 0.8× 186 0.9× 113 0.7× 13 0.1× 28 909
Carlos Eduardo Thomaz 527 1.0× 160 0.4× 338 1.7× 150 0.9× 43 0.4× 102 1.2k
Pradip Sircar 198 0.4× 173 0.4× 376 1.9× 472 2.8× 41 0.4× 57 991
Minh Hoai Nguyen 454 0.9× 257 0.6× 113 0.6× 82 0.5× 23 0.2× 31 945

Countries citing papers authored by Hamid Palangi

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Palangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Palangi

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