Shashikanth Gajaraj

13 total papers · 789 total citations
12 papers, 635 citations indexed

About

Shashikanth Gajaraj is a scholar working on Pollution, Industrial and Manufacturing Engineering and Ecology. According to data from OpenAlex, Shashikanth Gajaraj has authored 12 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pollution, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Ecology. Recurrent topics in Shashikanth Gajaraj's work include Wastewater Treatment and Nitrogen Removal (5 papers), Microbial Community Ecology and Physiology (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Shashikanth Gajaraj is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (5 papers), Microbial Community Ecology and Physiology (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Shashikanth Gajaraj collaborates with scholars based in United States and China. Shashikanth Gajaraj's co-authors include Zhiqiang Hu, Atreyee Sims, Pamela B. Brown, Ping Zheng, Yu‐Xi Huang, J.H. Horton, Randall J. Miles, Chiqian Zhang, Robert M. Reed and Ryan Mueller and has published in prestigious journals such as The Science of The Total Environment, Water Research and Chemosphere.

In The Last Decade

Shashikanth Gajaraj

12 papers receiving 624 citations

Author Peers

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

Author						Papers	Cites
Shashikanth Gajaraj	246	228	144	133	107	12	635
Ran Sun	325 1.3×	203 0.9×	103 0.7×	152 1.1×	56 0.5×	35	761
Roel J.W. Meulepas	146 0.6×	156 0.7×	72 0.5×	130 1.0×	97 0.9×	24	777
Mengru Zhang	371 1.5×	155 0.7×	131 0.9×	124 0.9×	41 0.4×	15	564
Eustace Fernando	259 1.1×	141 0.6×	104 0.7×	342 2.6×	89 0.8×	23	789
Zhouliang Tan	373 1.5×	173 0.8×	114 0.8×	182 1.4×	64 0.6×	19	618
Yiwen Zhou	284 1.2×	220 1.0×	179 1.2×	66 0.5×	66 0.6×	36	788
Edgardo I. Valenzuela	298 1.2×	233 1.0×	64 0.4×	217 1.6×	59 0.6×	31	782
Kai-Ling Pan	395 1.6×	191 0.8×	100 0.7×	116 0.9×	56 0.5×	19	656
Teng Zhang	436 1.8×	113 0.5×	167 1.2×	171 1.3×	83 0.8×	20	681
Hafiz Adeel Ahmad	512 2.1×	154 0.7×	101 0.7×	164 1.2×	73 0.7×	23	725

Countries citing papers authored by Shashikanth Gajaraj

Since Specialization

Citations

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

Fields of papers citing papers by Shashikanth Gajaraj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashikanth Gajaraj

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