Krishnamurthy Mathivanan

39 papers receiving 1.1k citations

Peers

Krishnamurthy Mathivanan
Comparison fields: 5 of 102
  • Applied Microbiology and Biotechnology 62
  • Pollution 285
  • Health, Toxicology and Mutagenesis 254
  • Water Science and Technology 150
  • Geochemistry and Petrology 58
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Periyasamy Sivalingam Switzerland
Pratima Gupta India
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Citations per year

Countries citing papers authored by Krishnamurthy Mathivanan

Since Specialization
Citations

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

Fields of papers citing papers by Krishnamurthy Mathivanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Krishnamurthy Mathivanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Krishnamurthy Mathivanan Line = papers co-authored together Krishnamurthy Mathivanan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021145
2 202093
3 202292
4 201976
5 201256
6 202252
7 201345
8 202140
9 201940
10 201237
11 202130
12 201829
13 202327
14 202424
15 201523
16 202222
17 202121
18 201321
19 202320
20 202119

About Krishnamurthy Mathivanan

Krishnamurthy Mathivanan is a scholar working on Biomedical Engineering, Materials Chemistry, Molecular Biology, Water Science and Technology and Pollution, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (9 papers), Adsorption and biosorption for pollutant removal (9 papers), Chromium effects and bioremediation (7 papers), Biodiesel Production and Applications (6 papers), Algal biology and biofuel production (5 papers), Bacterial biofilms and quorum sensing (4 papers), Heavy metals in environment (4 papers) and Microbial Metabolites in Food Biotechnology (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (62 citations), Pollution (285 citations), Health, Toxicology and Mutagenesis (254 citations), Water Science and Technology (150 citations) and Geochemistry and Petrology (58 citations). Krishnamurthy Mathivanan has collaborated with scholars based in India, China and Saudi Arabia. Frequent co-authors include R. Rajaram, Annadurai Vinothkanna, Jayaraman Uthaya Chandirika, Huaqun Yin, G. Annadurai, Delong Meng, Xueduan Liu, Thangavel Mathimani, Rasiravathanahalli Kaveriyappan Govindarajan and Ruiyong Zhang. Their work appears in journals such as Environmental Research, npj Materials Degradation, Biocatalysis and Agricultural Biotechnology, Ecotoxicology and Environmental Safety and Separation Science and Technology.

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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