Kamal Kant

126 total papers · 1.8k total citations
76 papers, 1.3k citations indexed

About

Kamal Kant is a scholar working on Plant Science, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Kamal Kant has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 14 papers in Computer Networks and Communications and 11 papers in Molecular Biology. Recurrent topics in Kamal Kant's work include Agricultural Science and Fertilization (8 papers), Growth and nutrition in plants (5 papers) and Agronomic Practices and Intercropping Systems (5 papers). Kamal Kant is often cited by papers focused on Agricultural Science and Fertilization (8 papers), Growth and nutrition in plants (5 papers) and Agronomic Practices and Intercropping Systems (5 papers). Kamal Kant collaborates with scholars based in India, United States and Canada. Kamal Kant's co-authors include Steven W. Zucker, Nitin Gupta, Anoop Kumar, Manik Ghosh, Uma Ranjan Lal, Ravi Rawat, Saurabh Verma, Abhishek Jain, Malay Ranjan Tripathy and Vijaylata Pathania and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Journal of Experimental Botany.

In The Last Decade

Kamal Kant

66 papers receiving 1.2k citations

Hit Papers

Toward Efficient Trajecto... 1986 2026 1999 2012 1986 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Kamal Kant 567 330 323 236 131 76 1.3k
Yanjie Chen 480 0.8× 446 1.4× 207 0.6× 215 0.9× 153 1.2× 140 1.5k
J. Orozco 298 0.5× 249 0.8× 189 0.6× 322 1.4× 113 0.9× 97 1.1k
James K. Archibald 566 1.0× 90 0.3× 302 0.9× 357 1.5× 127 1.0× 78 1.4k
Jing Xiao 318 0.6× 233 0.7× 64 0.2× 115 0.5× 204 1.6× 82 1.5k
Andrea Gasparri 322 0.6× 328 1.0× 1.2k 3.7× 258 1.1× 279 2.1× 145 1.8k
Zhonghua Miao 234 0.4× 531 1.6× 306 0.9× 92 0.4× 52 0.4× 138 1.5k
Daobo Wang 208 0.4× 603 1.8× 168 0.5× 362 1.5× 64 0.5× 110 1.1k
B. K. Patle 846 1.5× 459 1.4× 177 0.5× 397 1.7× 91 0.7× 57 1.5k
Caihong Li 342 0.6× 197 0.6× 114 0.4× 163 0.7× 461 3.5× 95 1.3k
Fangfang Zhang 192 0.3× 166 0.5× 331 1.0× 67 0.3× 161 1.2× 143 1.6k

Countries citing papers authored by Kamal Kant

Since Specialization
Citations

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

Fields of papers citing papers by Kamal Kant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamal Kant

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