Anoop Sarkar

144 total papers · 3.5k total citations
96 papers, 2.1k citations indexed

About

Anoop Sarkar is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anoop Sarkar has authored 96 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 15 papers in Molecular Biology and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anoop Sarkar's work include Natural Language Processing Techniques (80 papers), Topic Modeling (72 papers) and Algorithms and Data Compression (16 papers). Anoop Sarkar is often cited by papers focused on Natural Language Processing Techniques (80 papers), Topic Modeling (72 papers) and Algorithms and Data Compression (16 papers). Anoop Sarkar collaborates with scholars based in Canada, United States and Australia. Anoop Sarkar's co-authors include Gholamreza Haffari, Mark Steedman, Miles Osborne, Rebecca Hwa, Libin Shen, Franz Josef Och, Aravind K. Joshi, Umapada Pal, Steven Baker and Stephen Clark and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Membrane Biology and Computational Linguistics.

In The Last Decade

Anoop Sarkar

89 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Anoop Sarkar 1.8k 333 151 146 128 96 2.1k
Liang Huang 1.3k 0.7× 292 0.9× 119 0.8× 150 1.0× 45 0.4× 64 1.6k
Rico Sennrich 2.6k 1.5× 935 2.8× 131 0.9× 224 1.5× 39 0.3× 108 3.1k
Teruko Mitamura 1.6k 0.9× 426 1.3× 83 0.5× 314 2.2× 29 0.2× 125 1.9k
Jason Baldridge 2.2k 1.2× 822 2.5× 84 0.6× 268 1.8× 60 0.5× 89 3.0k
Francisco Casacuberta 1.8k 1.0× 487 1.5× 105 0.7× 148 1.0× 53 0.4× 179 2.2k
Marco Turchi 2.4k 1.3× 372 1.1× 127 0.8× 261 1.8× 27 0.2× 136 2.8k
Min Zhang 2.4k 1.3× 972 2.9× 166 1.1× 292 2.0× 50 0.4× 231 3.1k
John Makhoul 2.8k 1.6× 598 1.8× 147 1.0× 240 1.6× 69 0.5× 78 3.2k
Roberto Basili 1.6k 0.9× 219 0.7× 100 0.7× 339 2.3× 24 0.2× 156 1.8k
Rebecca Hwa 1.8k 1.0× 216 0.6× 121 0.8× 229 1.6× 43 0.3× 68 2.0k

Countries citing papers authored by Anoop Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Anoop Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anoop Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Anoop Sarkar. A scholar is included among the top collaborators of Anoop Sarkar 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 Anoop Sarkar. Anoop Sarkar 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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2026