R. Ravikesavan

1.3k total citations
128 papers, 775 citations indexed

About

R. Ravikesavan is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, R. Ravikesavan has authored 128 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Plant Science, 27 papers in Agronomy and Crop Science and 20 papers in Molecular Biology. Recurrent topics in R. Ravikesavan's work include Genetics and Plant Breeding (38 papers), Research in Cotton Cultivation (28 papers) and Crop Yield and Soil Fertility (23 papers). R. Ravikesavan is often cited by papers focused on Genetics and Plant Breeding (38 papers), Research in Cotton Cultivation (28 papers) and Crop Yield and Soil Fertility (23 papers). R. Ravikesavan collaborates with scholars based in India, Canada and United States. R. Ravikesavan's co-authors include Kaliyaperumal Ashokkumar, K. Iyanar, A. Senthil, Pooja Aggarwal, Wallace A. Cowling, Sumi Rana, Matthew N. Nelson, Mehanathan Muthamilarasan, Silvas Prince and N. Senthil and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

R. Ravikesavan

108 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Ravikesavan India 15 662 145 122 118 55 128 775
Dragana Miladinović Serbia 15 716 1.1× 183 1.3× 143 1.2× 73 0.6× 24 0.4× 89 803
Jiban Mitra India 12 502 0.8× 105 0.7× 120 1.0× 71 0.6× 73 1.3× 43 646
Vahdettin Çi̇ftçi̇ Türkiye 14 614 0.9× 98 0.7× 72 0.6× 120 1.0× 46 0.8× 59 692
Thanda Dhliwayo Mexico 15 706 1.1× 168 1.2× 153 1.3× 332 2.8× 17 0.3× 32 834
J. W. Bergman United States 14 515 0.8× 73 0.5× 275 2.3× 97 0.8× 19 0.3× 103 837
Rugen Xu China 15 681 1.0× 116 0.8× 55 0.5× 125 1.1× 35 0.6× 55 755
Mobashwer Alam Australia 14 469 0.7× 134 0.9× 75 0.6× 115 1.0× 28 0.5× 70 625
Giuseppina Logozzo Italy 15 921 1.4× 71 0.5× 140 1.1× 97 0.8× 58 1.1× 29 1000
Ram J. Singh United States 15 583 0.9× 261 1.8× 40 0.3× 103 0.9× 49 0.9× 39 777
Timothy G. Porch United States 24 1.6k 2.5× 174 1.2× 300 2.5× 61 0.5× 78 1.4× 76 1.7k

Countries citing papers authored by R. Ravikesavan

Since Specialization
Citations

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

Fields of papers citing papers by R. Ravikesavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Ravikesavan

This figure shows the co-authorship network connecting the top 25 collaborators of R. Ravikesavan. A scholar is included among the top collaborators of R. Ravikesavan 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 R. Ravikesavan. R. Ravikesavan 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
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Zunjare, Rajkumar U., Vignesh Muthusamy, Santosh Kumar, et al.. (2024). Genetic analysis on composition of sulfur-containing amino acids: methionine and cysteine in subtropical maize. Journal of Food Composition and Analysis. 136. 106774–106774.
3.
Hossain, Firoz, Neha Sharma, Rajkumar U. Zunjare, et al.. (2024). Unraveling popping quality through insights on kernel physical, agro-morphological, and quality traits of diverse popcorn (Zea mays var. everta) inbreds from indigenous and exotic germplasm. Food Research International. 191. 114676–114676. 1 indexed citations
4.
Yogendra, Kalenahalli, P. Nagesh, B. Vivek, et al.. (2024). Exploring Metabolomics to Innovate Management Approaches for Fall Armyworm (Spodoptera frugiperda [J.E. Smith]) Infestation in Maize (Zea mays L.). Plants. 13(17). 2451–2451. 2 indexed citations
5.
Ravikesavan, R., et al.. (2024). Emerging technological developments to address pest resistance in Bt cotton. Journal of Cotton Research. 7(1). 5 indexed citations
6.
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Ravikesavan, R., et al.. (2022). Dose Optimization, Mutagenic Effectiveness and Efficiency of EMS in Proso Millet (Panicum miliaceum L.). Madras Agricultural Journal. 109(March).
8.
Ravikesavan, R., et al.. (2022). Gamma irradiation to induce beneficial mutants in proso millet (Panicum miliaceum L.): an underutilized food crop. International Journal of Radiation Biology. 98(7). 1277–1288. 7 indexed citations
9.
10.
Ravikesavan, R., et al.. (2021). A Correlation and path analysis studies on yield and yield components in brinjal (Solanum melongena L.). Electronic Journal of Plant Breeding. 12(1). 249–252. 1 indexed citations
11.
Dhasarathan, Manickam, Adhimoolam Karthikeyan, S. Vellaikumar, et al.. (2019). Incorporation ofopaque-2into ‘UMI 1200’, an elite maize inbred line, through marker-assisted backcross breeding. Biotechnology & Biotechnological Equipment. 33(1). 144–153. 11 indexed citations
12.
Ravikesavan, R., et al.. (2017). Principal component, clustering pattern and association analysis of sweet corn (Zea saccharata L.) inbred lines.. 43(1). 17–21. 1 indexed citations
13.
Raguchander, T., et al.. (2013). Efficient crossing techniques in oats (Avena sativa L).. International Journal of Agricultural Science and Research. 3(2). 331–336. 2 indexed citations
14.
Magadum, Santoshkumar, et al.. (2012). Variability and heritability analysis of yield and quality traits in interspecific population of cotton (Gossypium spp.). BIOINFOLET - A Quarterly Journal of Life Sciences. 9(4). 484–487. 4 indexed citations
15.
Ashokkumar, Kaliyaperumal & R. Ravikesavan. (2010). Genetic studies of correlation and path coefficient analysis for seed oil, yield and fibre quality traits in cotton (G. hirsutum L.).. AUSTRALIAN JOURNAL OF BASIC AND APPLIED SCIENCES. 4(11). 5496–5499. 16 indexed citations
16.
Ravikesavan, R., et al.. (2010). Combining ability analysis for yield and fibre quality parameters in intraspecific hybrids of G. hirsutum L.. Electronic Journal of Plant Breeding. 1(4). 856–863. 3 indexed citations
17.
Ravikesavan, R., et al.. (2008). Combining ability analysis of yield related traits and fibre quality traits in cotton (Gossypium spp.).. Journal of Cotton Research and Development. 22(1). 23–27. 5 indexed citations
18.
Ravikesavan, R., et al.. (2008). Genetic advance and heritability as a selection index for improvement of yield and quality in cotton.. Journal of Cotton Research and Development. 22(1). 14–18. 13 indexed citations
19.
Ravikesavan, R., et al.. (2007). Variability and association analysis using morphological and quality traits in cotton (Gossupium hirsutum).. Journal of Cotton Research and Development. 21(2). 148–152. 8 indexed citations
20.
Ravikesavan, R., et al.. (1995). IPH 732 - The First Pigeonpea Hybrid for Tamil Nadu, India. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 1 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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