M. Kumaran

809 total citations
79 papers, 614 citations indexed

About

M. Kumaran is a scholar working on General Agricultural and Biological Sciences, Aquatic Science and Global and Planetary Change. According to data from OpenAlex, M. Kumaran has authored 79 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in General Agricultural and Biological Sciences, 25 papers in Aquatic Science and 17 papers in Global and Planetary Change. Recurrent topics in M. Kumaran's work include Fish Biology and Ecology Studies (22 papers), Fisheries and Aquaculture Studies (15 papers) and Identification and Quantification in Food (12 papers). M. Kumaran is often cited by papers focused on Fish Biology and Ecology Studies (22 papers), Fisheries and Aquaculture Studies (15 papers) and Identification and Quantification in Food (12 papers). M. Kumaran collaborates with scholars based in India, Norway and United Kingdom. M. Kumaran's co-authors include Steven J.M. Jones, K.P. Kumaraguru Vasagam, T. Ravisankar, M. Muralidhar, K. K. Achary, Prasanna Kumar Patil, Stuart E. Jones, K.K. Vijayan, Debasis De and R. Geetha and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Aquaculture.

In The Last Decade

M. Kumaran

67 papers receiving 542 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Kumaran India 13 215 142 107 102 102 79 614
Ignacio Llorente Spain 17 286 1.3× 282 2.0× 46 0.4× 7 0.1× 36 0.4× 45 737
Diego Valderrama United States 15 288 1.3× 235 1.7× 156 1.5× 6 0.1× 55 0.5× 52 801
Carole R. Engle United States 19 514 2.4× 367 2.6× 138 1.3× 7 0.1× 119 1.2× 54 1.1k
Cathy R. Wessells United States 19 120 0.6× 275 1.9× 105 1.0× 8 0.1× 165 1.6× 25 1.5k
Julia Bronnmann Germany 15 136 0.6× 189 1.3× 64 0.6× 7 0.1× 36 0.4× 33 756
Øystein Hermansen Norway 13 128 0.6× 240 1.7× 111 1.0× 6 0.1× 16 0.2× 36 535
Ola Flaaten Norway 18 53 0.2× 523 3.7× 205 1.9× 12 0.1× 55 0.5× 49 837
T. Ravisankar India 13 99 0.5× 65 0.5× 105 1.0× 6 0.1× 71 0.7× 41 576
Audun Lem Italy 9 141 0.7× 280 2.0× 122 1.1× 3 0.0× 51 0.5× 16 626
Patricia Pinto da Silva United States 13 37 0.2× 318 2.2× 257 2.4× 7 0.1× 42 0.4× 24 784

Countries citing papers authored by M. Kumaran

Since Specialization
Citations

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

Fields of papers citing papers by M. Kumaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kumaran

This figure shows the co-authorship network connecting the top 25 collaborators of M. Kumaran. A scholar is included among the top collaborators of M. Kumaran 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 M. Kumaran. M. Kumaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Perry, Robert, David Y. Zhang, M. Kumaran, et al.. (2025). Evaluating the role of faecal calprotectin in older adults: a retrospective observational study. British Journal of General Practice. 76(763). e100–e107.
2.
Raja, R. Ananda, Prasanna Kumar Patil, M. Kumaran, et al.. (2023). Natural infestation of an anchor worm, Lernaea sp. in cage culture of Asian Seabass, Lates calcarifer juveniles and its control using an anti-parasitic drug, emamectin benzoate. Journal of Parasitic Diseases. 47(2). 306–318. 5 indexed citations
3.
Panigrahi, A., Rashmi Ranjan Das, A. Saravanan, et al.. (2023). Growth potential and immunity of the Indian white shrimp, Penaeus indicus (H. Milne-Edwards, 1837), cultured in grow-out ponds at varying densities and salinities. Aquaculture International. 31(3). 1523–1549. 3 indexed citations
4.
Kumaran, M., R. Geetha, K.P. Kumaraguru Vasagam, et al.. (2020). Prospective impact of Corona virus disease (COVID-19) related lockdown on shrimp aquaculture sector in India – a sectoral assessment. Aquaculture. 531. 735922–735922. 81 indexed citations
5.
Alagappan, Muthuraman & M. Kumaran. (2015). Expert system for shrimp aquaculture – an ICT aided tool for knowledg management. Indian Journal of Fisheries. 62(2). 1 indexed citations
6.
Kumaran, M., et al.. (2015). Training Needs of Extension Personnel in Pacific White Shrimp (Litopenaeus vannamei) Farming. Fishery Technology. 52(4). 265–270. 3 indexed citations
7.
Raja, R. Ananda, T.K. Ghoshal, Jitendra Kumar Sundaray, et al.. (2012). Status and challenges of livestock farming community in Sunderban India. The Indian Journal of Animal Sciences. 82(4). 3 indexed citations
8.
Kumaran, M., et al.. (2012). Information Seeking Behaviour of Extension Personnel in Aquaculture Sector. Fishery Technology. 49(1). 87–91.
9.
Nagothu, Udaya Sekhar, et al.. (2012). Climate Change and Shrimp Farming in Andhra Pradesh, India: Socio-economics and Vulnerability. 2(2). 15 indexed citations
10.
Kumaran, M., et al.. (2011). Perceived skill gaps of fisheries extension officers vis-à-vis shrimp aquaculture. Indian Journal of Fisheries. 58(4). 147–153. 1 indexed citations
11.
Kumaran, M.. (2009). Group approach to shrimp farming: the key to sustainability.. 14(3). 18–21. 2 indexed citations
12.
Kumaran, M., et al.. (2008). Fuzzy economic order time models with random demand. International Journal of Approximate Reasoning. 50(3). 529–540. 25 indexed citations
13.
Kumaran, M., et al.. (2008). Extent of adoption gaps in good management practices (GMPs) of shrimp. Indian Journal of Fisheries. 55(3). 267–272. 2 indexed citations
14.
Kumaran, M., et al.. (2007). Extension services in coastal aquacultrure : need for a public and private partnership. Indian Journal of Fisheries. 54(1). 75–83. 1 indexed citations
15.
Kumaran, M., et al.. (2005). Socio-Economic Profile of Shrimp Farmers and its Influence on the Extent of Adoption of Shrimp Culture Technologies. Fishery Technology. 42(2). 11 indexed citations
16.
Kumaran, M. & K. Ponnusamy. (2001). Training Needs of Shrimp Farmers - An Assessment. Fishery Technology. 38(2).
17.
Kumaran, M., et al.. (1992). Stock assessment of pomfrets off west coast of India. Indian Journal of Fisheries. 39. 249–259. 10 indexed citations
18.
Kumaran, M., et al.. (1992). Stock assessment of oil sardine, Sardinella longiceps Val., off west coast of India. Indian Journal of Fisheries. 39(18). 125–135. 12 indexed citations
19.
Kumaran, M., et al.. (1989). Resources of ornamental fishes. Eprints@CMFRI Open Access Institutional Repository (Central Marine Fisheries Research Institute). 31(2). 130–130. 3 indexed citations
20.
Kumaran, M., et al.. (1963). Distribution of larval tuna collected by the Carlsberg foundation's Dana expedition (1928-30) from the Indian Ocean. Eprints@CMFRI Open Access Institutional Repository (Central Marine Fisheries Research Institute). 5 indexed citations

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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