B N Motagi

545 total citations
40 papers, 285 citations indexed

About

B N Motagi is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, B N Motagi has authored 40 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 9 papers in Inorganic Chemistry and 3 papers in Molecular Biology. Recurrent topics in B N Motagi's work include Peanut Plant Research Studies (30 papers), Agricultural pest management studies (19 papers) and Coconut Research and Applications (9 papers). B N Motagi is often cited by papers focused on Peanut Plant Research Studies (30 papers), Agricultural pest management studies (19 papers) and Coconut Research and Applications (9 papers). B N Motagi collaborates with scholars based in India, Mali and Nigeria. B N Motagi's co-authors include Manish K. Pandey, Rajeev K. Varshney, Ramesh Bhat, M. V. C. Gowda, Haile Desmae, Pasupuleti Janila, P. Okori, S. Lingaraju, Murali T. Variath and Boshou Liao and has published in prestigious journals such as Frontiers in Plant Science, Euphytica and Agronomy.

In The Last Decade

B N Motagi

35 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B N Motagi India 10 274 96 40 21 20 40 285
K. L. Dobariya India 6 231 0.8× 85 0.9× 58 1.4× 8 0.4× 15 0.8× 27 246
S. K. Bera India 11 415 1.5× 137 1.4× 79 2.0× 22 1.0× 41 2.0× 54 430
A. L. Rathnakumar India 11 340 1.2× 123 1.3× 71 1.8× 25 1.2× 12 0.6× 27 357
Ganapati Mukri India 8 189 0.7× 33 0.3× 34 0.8× 44 2.1× 48 2.4× 29 213
K Ravi India 5 325 1.2× 154 1.6× 65 1.6× 16 0.8× 30 1.5× 9 344
Issa Faye Senegal 10 475 1.7× 196 2.0× 78 1.9× 24 1.1× 20 1.0× 13 486
Michael R. Baring United States 14 528 1.9× 283 2.9× 129 3.2× 16 0.8× 20 1.0× 34 549
Ousmane Ndoye Senegal 7 264 1.0× 124 1.3× 43 1.1× 10 0.5× 9 0.5× 10 274
Claudio Oddino Argentina 12 256 0.9× 66 0.7× 32 0.8× 24 1.1× 3 0.1× 30 278
Walid Korani United States 8 180 0.7× 52 0.5× 52 1.3× 10 0.5× 26 1.3× 16 200

Countries citing papers authored by B N Motagi

Since Specialization
Citations

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

Fields of papers citing papers by B N Motagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B N Motagi. 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 B N Motagi. The network helps show where B N Motagi may publish in the future.

Co-authorship network of co-authors of B N Motagi

This figure shows the co-authorship network connecting the top 25 collaborators of B N Motagi. A scholar is included among the top collaborators of B N Motagi 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 B N Motagi. B N Motagi 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.
Pandey, Manish K., Aamir W. Khan, Pushpesh Joshi, et al.. (2025). Development of a cost‐effective high‐throughput mid‐density 5K genotyping assay for germplasm characterization and breeding in groundnut. The Plant Genome. 18(2). e70019–e70019. 1 indexed citations
2.
Motagi, B N, et al.. (2024). Late Leaf Spot Detection and Its Effect on Pod Quality of Groundnut Plants Using Deep Neural Networks: A Review. Lecture notes in networks and systems. 219–233.
3.
Mukri, Ganapati, B N Motagi, Jayant S. Bhat, et al.. (2022). Genetic variability, combining ability and molecular diversity-based parental line selection for heterosis breeding in field corn (Zea mays L.). Molecular Biology Reports. 49(6). 4517–4524. 11 indexed citations
4.
Mukri, Ganapati, et al.. (2021). Evaluation of inbred lines derived from commercial hybrids and their utilization in developing high yielding field corn (Zea mays L.) hybrids. Maydica. 65(3). 9. 1 indexed citations
5.
Shaibu, Abdulwahab S., et al.. (2020). Genome-Wide Detection of SNP Markers Associated with Four Physiological Traits in Groundnut (Arachis hypogaea L.) Mini Core Collection. Agronomy. 10(2). 192–192. 11 indexed citations
6.
Motagi, B N, et al.. (2020). Heterosis and Combining Ability Studies in Maize (Zea mays L.) for Drought Tolerance, TLB Disease Resistance and Productivity in Northern Dry Tract of Karnataka. International Journal of Current Microbiology and Applied Sciences. 9(10). 1054–1064. 2 indexed citations
7.
8.
Motagi, B N, et al.. (2019). Single Marker Analysis Using Transposon Specific Markers (AhMITE1) for Yield, Foliar Disease Resistance and Oil Quality in a Mutant Population of Groundnut (Arachis hypogaea L.). International Journal of Current Microbiology and Applied Sciences. 8(3). 2376–2385. 4 indexed citations
9.
Motagi, B N, et al.. (2017). Tropical legume project impact on groundnut improvement research outputs in Nigeria. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 1 indexed citations
10.
Shirasawa, Kenta, et al.. (2017). Marker‐assisted backcrossing to develop foliar disease‐resistant genotypes in TMV 2 variety of peanut (Arachis hypogaea L.). Plant Breeding. 136(6). 948–953. 28 indexed citations
11.
Janila, Pasupuleti, Murali T. Variath, Manish K. Pandey, et al.. (2016). Genomic Tools in Groundnut Breeding Program: Status and Perspectives. Frontiers in Plant Science. 7. 289–289. 70 indexed citations
13.
Nadaf, H. L., M. V. C. Gowda, Ramesh Bhat, et al.. (2014). Marker detection and genetic analysis for rust resistance of recombinant and backcross inbred lines in groundnut ( Arachis hypogaea L.). Indian Journal of Genetics and Plant Breeding (The). 74(2). 213–213. 4 indexed citations
14.
Gowda, M. V. C., et al.. (2014). Genetic analysis of grain yield, starch, protein and oil content in single cross hybrids of maize. Journal of Farm Sciences. 26(2). 9 indexed citations
15.
Shirasawa, Kenta, Manish K. Pandey, M. V. C. Gowda, et al.. (2013). Development of NILs from heterogeneous inbred families for validating the rust resistance QTL in peanut (Arachis hypogaea L.). Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics).
16.
Gowda, M. V. C., et al.. (2013). Evaluation of sister homozygous lines for oil content and oil quality in groundnut. Journal of Farm Sciences. 26(1). 1 indexed citations
17.
Nadaf, H. L., et al.. (2009). Induced Genetic Variability for Yield and Yield Components in Peanut (Arachis hypogaea L.). 346–348. 9 indexed citations
18.
Motagi, B N, et al.. (2008). Identification and grouping of safflower genotypes through chemical tests.. 1–4. 2 indexed citations
19.
Motagi, B N, et al.. (2000). Screening foliar disease resistant groundnut genotypes for tolerance to lime-induced iron chlorosis.. 22–23. 1 indexed citations
20.
Motagi, B N, et al.. (2000). INHERITANCE OF LATE LEAFSPOT RESISTANCE IN GROUNDNUT MUTANTS. Indian Journal of Genetics and Plant Breeding (The). 60(3). 347–352. 2 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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