S. M. Byregowda

92 total papers · 570 total citations
57 papers, 440 citations indexed

About

S. M. Byregowda is a scholar working on Agronomy and Crop Science, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, S. M. Byregowda has authored 57 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Agronomy and Crop Science, 14 papers in Infectious Diseases and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in S. M. Byregowda's work include Animal Disease Management and Epidemiology (18 papers), Vector-Borne Animal Diseases (13 papers) and Viral Infections and Vectors (8 papers). S. M. Byregowda is often cited by papers focused on Animal Disease Management and Epidemiology (18 papers), Vector-Borne Animal Diseases (13 papers) and Viral Infections and Vectors (8 papers). S. M. Byregowda collaborates with scholars based in India, United Kingdom and Japan. S. M. Byregowda's co-authors include V. Balamurugan, David Gopurenko, Y. Narasimha Reddy, James G. Logan, Naveen Kumar, Glenn Bellis, Karien Labuschagne, Y. Krishnamohan Reddy, Claire Garros and Lara E. Harrup and has published in prestigious journals such as PLoS ONE, International Journal of Infectious Diseases and Parasites & Vectors.

In The Last Decade

S. M. Byregowda

52 papers receiving 424 citations

Author Peers

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

Author Last Decade Papers Cites
S. M. Byregowda 140 109 99 90 73 57 440
Norimasa SASAKI 248 1.8× 169 1.6× 61 0.6× 76 0.8× 48 0.7× 40 468
Jian‐Wei Shao 247 1.8× 106 1.0× 50 0.5× 51 0.6× 72 1.0× 42 436
Milanko Šekler 147 1.1× 71 0.7× 48 0.5× 47 0.5× 61 0.8× 43 388
Fujiko Sunaga 181 1.3× 50 0.5× 85 0.9× 38 0.4× 63 0.9× 38 425
Gerrit J. Viljoen 97 0.7× 94 0.9× 76 0.8× 67 0.7× 64 0.9× 23 492
R. Nelson 168 1.2× 91 0.8× 57 0.6× 77 0.9× 56 0.8× 28 486
Mateus de Souza Ribeiro Mioni 144 1.0× 86 0.8× 80 0.8× 33 0.4× 81 1.1× 33 417
Qingli Niu 171 1.2× 139 1.3× 115 1.2× 64 0.7× 29 0.4× 39 416
Moulton Je 96 0.7× 101 0.9× 36 0.4× 84 0.9× 48 0.7× 38 413
Paulo Mota Bandarra 92 0.7× 110 1.0× 148 1.5× 42 0.5× 24 0.3× 65 440

Countries citing papers authored by S. M. Byregowda

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Byregowda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. M. Byregowda

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