K. Srikanta Murthy

100 total papers · 477 total citations
61 papers, 306 citations indexed

About

K. Srikanta Murthy is a scholar working on Agronomy and Crop Science, Computer Vision and Pattern Recognition and Genetics. According to data from OpenAlex, K. Srikanta Murthy has authored 61 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Agronomy and Crop Science, 15 papers in Computer Vision and Pattern Recognition and 11 papers in Genetics. Recurrent topics in K. Srikanta Murthy's work include Livestock Management and Performance Improvement (12 papers), Genetic and phenotypic traits in livestock (11 papers) and Ruminant Nutrition and Digestive Physiology (10 papers). K. Srikanta Murthy is often cited by papers focused on Livestock Management and Performance Improvement (12 papers), Genetic and phenotypic traits in livestock (11 papers) and Ruminant Nutrition and Digestive Physiology (10 papers). K. Srikanta Murthy collaborates with scholars based in India. K. Srikanta Murthy's co-authors include Shiva Shankar, S Santosh Kumar, M.R. Reddy, Navin Rajpal, Basavaraj S. Anami, Snehanshu Saha, R. Jayashree, G.R. Patel, T. K. Patbandha and Rafeeque R. Alyethodi and has published in prestigious journals such as Small Ruminant Research, Cluster Computing and Journal of the Indian Society of Remote Sensing.

In The Last Decade

K. Srikanta Murthy

49 papers receiving 278 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. Srikanta Murthy 97 78 56 42 39 61 306
Samiul Haque 23 0.2× 175 2.2× 20 0.4× 23 0.5× 18 0.5× 37 309
Mikaela Mughal 63 0.6× 32 0.4× 30 0.5× 24 0.6× 55 1.4× 14 338
ME Hossain 224 2.3× 65 0.8× 57 1.0× 11 0.3× 8 0.2× 27 356
Akshay Sharma 12 0.1× 44 0.6× 41 0.7× 65 1.5× 6 0.2× 49 356
Animesh Roy 13 0.1× 33 0.4× 55 1.0× 28 0.7× 7 0.2× 34 348
Malika Belkadi 54 0.6× 32 0.4× 23 0.4× 42 1.0× 29 0.7× 23 320
Haiming Gan 105 1.1× 56 0.7× 35 0.6× 74 1.8× 27 0.7× 16 344
Yuan Zhao 35 0.4× 23 0.3× 185 3.3× 10 0.2× 11 0.3× 43 341
Hong-Hee Chang 145 1.5× 50 0.6× 19 0.3× 32 0.8× 23 0.6× 28 359
Yang Yan 50 0.5× 65 0.8× 6 0.1× 14 0.3× 30 0.8× 65 348

Countries citing papers authored by K. Srikanta Murthy

Since Specialization
Citations

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

Fields of papers citing papers by K. Srikanta Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Srikanta Murthy

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