Parminder Bhatia

93 total papers · 799 total citations
28 papers, 231 citations indexed

About

Parminder Bhatia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Parminder Bhatia has authored 28 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Parminder Bhatia's work include Natural Language Processing Techniques (18 papers), Topic Modeling (17 papers) and Multimodal Machine Learning Applications (5 papers). Parminder Bhatia is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (17 papers) and Multimodal Machine Learning Applications (5 papers). Parminder Bhatia collaborates with scholars based in United States, Spain and China. Parminder Bhatia's co-authors include Jacob Eisenstein, Yangfeng Ji, Bing Xiang, Ramesh Nallapati, Dan Roth, Zijian Wang, Chandan K. Reddy, Ming Zhu, Ming Tan and Baishakhi Ray and has published in prestigious journals such as Studies in computational intelligence, ArXiv.org and PubMed.

In The Last Decade

Parminder Bhatia

22 papers receiving 217 citations

Author Peers

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

Author Last Decade Papers Cites
Parminder Bhatia 194 38 26 18 18 28 231
Oliver Ray 160 0.8× 27 0.7× 35 1.3× 9 0.5× 16 0.9× 31 205
Suzan Üsküdarlı 123 0.6× 32 0.8× 27 1.0× 33 1.8× 21 1.2× 33 169
Nobal B. Niraula 216 1.1× 57 1.5× 21 0.8× 12 0.7× 5 0.3× 35 254
Elisabeth Métais 138 0.7× 64 1.7× 23 0.9× 18 1.0× 6 0.3× 21 185
Rémi Zajac 284 1.5× 47 1.2× 6 0.2× 12 0.7× 18 1.0× 36 320
Ziyu Yao 115 0.6× 41 1.1× 5 0.2× 26 1.4× 9 0.5× 26 161
Hilan Bensusan 231 1.2× 44 1.2× 9 0.3× 22 1.2× 5 0.3× 28 272
Tilman Becker 250 1.3× 29 0.8× 23 0.9× 13 0.7× 4 0.2× 39 293
Alexandre Rademaker 157 0.8× 45 1.2× 9 0.3× 11 0.6× 5 0.3× 44 185
Mingyue Shang 185 1.0× 45 1.2× 5 0.2× 42 2.3× 27 1.5× 23 260

Countries citing papers authored by Parminder Bhatia

Since Specialization
Citations

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

Fields of papers citing papers by Parminder Bhatia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parminder Bhatia

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