K. S. Rajan

192 total papers · 2.3k total citations
112 papers, 1.4k citations indexed

About

K. S. Rajan is a scholar working on Global and Planetary Change, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, K. S. Rajan has authored 112 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 17 papers in Environmental Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in K. S. Rajan's work include Land Use and Ecosystem Services (11 papers), Remote-Sensing Image Classification (10 papers) and Air Quality Monitoring and Forecasting (8 papers). K. S. Rajan is often cited by papers focused on Land Use and Ecosystem Services (11 papers), Remote-Sensing Image Classification (10 papers) and Air Quality Monitoring and Forecasting (8 papers). K. S. Rajan collaborates with scholars based in India, United States and Japan. K. S. Rajan's co-authors include Arthur E. Martell, J. Michael Davis, R. W. Colburn, N. Grecz, C. B. S. Dutt, P. Rama Chandra Prasad, Ryosuke Shibasaki, Bharath Setturu, Zhixiang Ren and Shenghua Gao and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

K. S. Rajan

100 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
K. S. Rajan 250 173 154 150 147 112 1.4k
Long Jiang 177 0.7× 72 0.4× 114 0.7× 396 2.6× 241 1.6× 80 1.5k
Siqi Li 255 1.0× 48 0.3× 383 2.5× 135 0.9× 92 0.6× 65 1.4k
Hao Zheng 73 0.3× 70 0.4× 193 1.3× 87 0.6× 45 0.3× 125 1.7k
Jinlei Chen 329 1.3× 84 0.5× 403 2.6× 384 2.6× 95 0.6× 103 1.8k
Peng Lü 366 1.5× 92 0.5× 347 2.3× 46 0.3× 51 0.3× 83 1.4k
Xiaoling Chen 105 0.4× 152 0.9× 476 3.1× 149 1.0× 111 0.8× 116 1.8k
Limin Shao 164 0.7× 88 0.5× 364 2.4× 41 0.3× 41 0.3× 100 1.5k
Liming Du 46 0.2× 48 0.3× 214 1.4× 264 1.8× 131 0.9× 90 1.6k
Cheng Cheng 94 0.4× 37 0.2× 250 1.6× 170 1.1× 55 0.4× 91 1.6k
Takeshi Yamane 57 0.2× 120 0.7× 178 1.2× 87 0.6× 164 1.1× 170 1.6k

Countries citing papers authored by K. S. Rajan

Since Specialization
Citations

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

Fields of papers citing papers by K. S. Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. S. Rajan. 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 K. S. Rajan. The network helps show where K. S. Rajan may publish in the future.

Co-authorship network of co-authors of K. S. Rajan

This figure shows the co-authorship network connecting the top 25 collaborators of K. S. Rajan. A scholar is included among the top collaborators of K. S. Rajan 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 K. S. Rajan. K. S. Rajan 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