Kamal Sarkar

139 total papers · 1.7k total citations
65 papers, 1.0k citations indexed

About

Kamal Sarkar is a scholar working on Artificial Intelligence, Plant Science and Information Systems. According to data from OpenAlex, Kamal Sarkar has authored 65 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 9 papers in Plant Science and 8 papers in Information Systems. Recurrent topics in Kamal Sarkar's work include Advanced Text Analysis Techniques (20 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (19 papers). Kamal Sarkar is often cited by papers focused on Advanced Text Analysis Techniques (20 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (19 papers). Kamal Sarkar collaborates with scholars based in India, United States and Taiwan. Kamal Sarkar's co-authors include Horacio Vasquez, Carlos Harrison Gómez, Karen Lozano, Chittaranjan Sinha, Mounir Ben Ghalia, Zhenhua Wu, Papia Datta, Mita Nasipuri, Tapan Kumar Mondal and Sumanta Mukherjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Microbiology and Biotechnology and Sensors and Actuators B Chemical.

In The Last Decade

Kamal Sarkar

58 papers receiving 966 citations

Author Peers

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

Author Last Decade Papers Cites
Kamal Sarkar 296 292 257 152 129 65 1.0k
Hirohmi Watanabe 109 0.4× 121 0.4× 270 1.1× 220 1.4× 151 1.2× 56 1.2k
Xueyun Li 116 0.4× 132 0.5× 201 0.8× 33 0.2× 152 1.2× 61 942
Yonggang Peng 115 0.4× 140 0.5× 101 0.4× 112 0.7× 144 1.1× 79 954
Xiaoyü Ma 93 0.3× 255 0.9× 316 1.2× 30 0.2× 171 1.3× 53 1.2k
Masahiro Yanagisawa 33 0.1× 416 1.4× 306 1.2× 156 1.0× 174 1.3× 66 889
Aming Wang 50 0.2× 138 0.5× 158 0.6× 50 0.3× 224 1.7× 38 988
Seong Soo Kim 100 0.3× 361 1.2× 204 0.8× 23 0.2× 106 0.8× 39 991
Ruizhen Wang 114 0.4× 92 0.3× 374 1.5× 50 0.3× 143 1.1× 48 1.1k
Xiaohang Sun 89 0.3× 251 0.9× 519 2.0× 13 0.1× 192 1.5× 61 1.2k
Shengyan Liu 103 0.3× 87 0.3× 135 0.5× 87 0.6× 111 0.9× 54 949

Countries citing papers authored by Kamal Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Kamal Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamal Sarkar

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