This map shows the geographic impact of S. Robin'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. Robin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Robin more than expected).
This network shows the impact of papers produced by S. Robin. 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. Robin. The network helps show where S. Robin may publish in the future.
Co-authorship network of co-authors of S. Robin
This figure shows the co-authorship network connecting the top 25 collaborators of S. Robin.
A scholar is included among the top collaborators of S. Robin 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. Robin. S. Robin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Raveendran, M., et al.. (2018). Studies on early backcross generation inbred lines of Rice (Oryza sativa L.) for yield under stress evaluated under different moisture regimes. Journal of Pharmacognosy and Phytochemistry. 7(6). 1236–1243.2 indexed citations
3.
Jeyaprakash, P., et al.. (2018). Evaluation of Rice Genotypes for Resistance to Yellow Stem borer, Scirpophaga incertulas (Walker) through Artificial Screening Methods. Journal of Entomology and Zoology Studies. 6(1). 874–878.5 indexed citations
4.
Manonmani, S., et al.. (2016). Genetic parameters studies on bacterial blight resistance genes introgressed segregating population in Rice. World Scientific News. 59. 85–96.4 indexed citations
Mahendran, R., et al.. (2015). Principal component analysis of rice germplasm accessions under high temperature stress.. International Journal of Agricultural Science and Research. 5(3). 355–359.22 indexed citations
7.
Vanitha, J., et al.. (2015). Genetic evaluation of rice genotypes for zinc deficiency tolerance and yield traits under aerobic condition in rice. Electronic Journal of Plant Breeding. 6(1). 191–195.4 indexed citations
Robin, S., et al.. (2013). Character association and parent progeny regression studies for yield in the segregating generations of TGMS rice lines. ORYZA- An International Journal on Rice. 50(1). 45–51.4 indexed citations
Kulkarni, Ketan, Chandrapal Vishwakarma, S. Robin, et al.. (2013). Phenotypic characterization and genetic analysis of dwarf and early flowering mutants of rice variety Nagina22. ORYZA- An International Journal on Rice. 50(1). 18–25.10 indexed citations
14.
Balakrishnan, Divya, et al.. (2013). Waxy gene polymorphism and its association with grain quality traits in selected landraces of rice. ORYZA- An International Journal on Rice. 50(3). 214–221.1 indexed citations
Robin, S., et al.. (2011). Influence of intrinsic soil factors on genotype-by-environment interactions governing micronutrient content of milled rice grains. Australian Journal of Crop Science. 5(13). 1737–1744.13 indexed citations
18.
Manonmani, S., et al.. (2010). Breeding three line rice hybrids with good grain quality.. Electronic Journal of Plant Breeding. 1(4). 1265–1269.2 indexed citations
19.
Robin, S., et al.. (2010). Heterosis under aerobic condition in hybrid rice.. Electronic Journal of Plant Breeding. 1(4). 769–775.6 indexed citations
20.
Robin, S., et al.. (2005). Genetic variability studies in fodder cowpea (Vigna unguiculata L. Walp). Legume Research - An International Journal. 28(1). 52–54.3 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.