M. Ganesh

485 total citations
29 papers, 225 citations indexed

About

M. Ganesh is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, M. Ganesh has authored 29 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 7 papers in Agronomy and Crop Science and 6 papers in Soil Science. Recurrent topics in M. Ganesh's work include Genetics and Plant Breeding (12 papers), Agricultural pest management studies (11 papers) and Agricultural Practices and Plant Genetics (10 papers). M. Ganesh is often cited by papers focused on Genetics and Plant Breeding (12 papers), Agricultural pest management studies (11 papers) and Agricultural Practices and Plant Genetics (10 papers). M. Ganesh collaborates with scholars based in India, Saudi Arabia and United States. M. Ganesh's co-authors include Medagam Thirupathi Reddy, Husna Begum, V. Gouri Shankar, Archna Suman, U. P. Singh, C. P. Srivastava, C.V. Sameer Kumar, Kamini Devi, Pravat Ranjan Pati and Y. N. Reddy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Today Proceedings and Chilean journal of agricultural research.

In The Last Decade

M. Ganesh

26 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Ganesh India 9 215 33 30 29 27 29 225
Anthony Pariyo Uganda 11 204 0.9× 5 0.2× 21 0.7× 12 0.4× 26 1.0× 15 214
Larissa Barbosa de Sousa Brazil 9 231 1.1× 43 1.3× 4 0.1× 4 0.1× 27 1.0× 48 254
Adnan Šišić Germany 8 187 0.9× 11 0.3× 9 0.3× 9 0.3× 23 0.9× 18 221
Pedro Figueroa-López Mexico 6 170 0.8× 10 0.3× 4 0.1× 15 0.5× 23 0.9× 13 186
Shiguftah Khalid China 5 303 1.4× 15 0.5× 5 0.2× 6 0.2× 26 1.0× 7 321
R. A. Plowright United Kingdom 9 214 1.0× 11 0.3× 25 0.8× 2 0.1× 20 0.7× 22 230
Gustavo Henrique Demari Brazil 10 254 1.2× 68 2.1× 5 0.2× 4 0.1× 80 3.0× 55 284
Rajendra Prasad Meena India 7 126 0.6× 21 0.6× 3 0.1× 6 0.2× 17 0.6× 25 156
Smita Kumari India 5 67 0.3× 14 0.4× 5 0.2× 7 0.2× 11 0.4× 18 109
B. R. Bakheit Egypt 9 241 1.1× 28 0.8× 3 0.1× 9 0.3× 94 3.5× 38 271

Countries citing papers authored by M. Ganesh

Since Specialization
Citations

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

Fields of papers citing papers by M. Ganesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ganesh

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ganesh. A scholar is included among the top collaborators of M. Ganesh 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 M. Ganesh. M. Ganesh 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.
Ganesh, M., S. Sathees Kumar, Pravat Ranjan Pati, et al.. (2024). Performance of jack fruit methyl ester and pine oil blends with coconut shell nanoadditive biodiesel for automobile applications. Interactions. 245(1). 4 indexed citations
2.
Ganesh, M., et al.. (2023). Evaluating the performance and emission characteristics of jackfruit seed as bio-oil in CI engine. Materials Today Proceedings. 1 indexed citations
3.
Ganesh, M., et al.. (2013). Correlation and path coefficient analysis of quantitative characters in okra (Abelmoschus esculentus (L.) Moench). SHILAP Revista de lepidopterología. 21 indexed citations
4.
Ganesh, M., et al.. (2012). Influence of Plant Spacing and Fertilizer Dose on Yield Parameters and Yield of Sweet Corn (Zea mays L.). SHILAP Revista de lepidopterología. 3(1). 40–43. 1 indexed citations
5.
Ganesh, M., et al.. (2012). Genetic analysis for yield and its components in okra (Abelmoschus esculentus (L.) Moench). 34(2). 133–141. 4 indexed citations
6.
Reddy, Medagam Thirupathi, et al.. (2012). Genetic variability analysis for the selection of elite genotypes based on pod yield and quality from the germplasm of okra (Abelmoschus esculentus L. Moench). International Journal of Agricultural Technology. 8(2). 639–655. 40 indexed citations
7.
Reddy, Medagam Thirupathi, et al.. (2012). Genetic divergence analysis of indigenous and exotic collections of okra (Abelmoschus esculentus (L.) Moench).. International Journal of Agricultural Technology. 8(2). 611–623. 21 indexed citations
8.
9.
Reddy, Medagam Thirupathi, et al.. (2011). Combining Ability Analysis for Growth, Earliness and Yield Attributes in Okra (Abelmoschus esculentus (L.) Moench). Thai Journal of Agricultural Science. 44(3). 207–218. 6 indexed citations
10.
Ganesh, M., et al.. (2010). Studies on influence of age of seedlings and spacing on seed yield and quality under system of rice (Oryza sativa L.) intensification.. The Journal of Research ANGRAU. 38. 103–107.
11.
Rana, B. S., et al.. (2009). Parental lines improvement for morphophysiological characters in rabi sorghum.. Journal of the Maharashtra Agricultural Universities. 34(2). 138–140.
12.
Rao, Srinath, et al.. (2008). Heterosis and inbreeding depression in rabi sorghum (Sorghum bicolor L. Moench).. The Journal of Research ANGRAU. 36(4). 61–67. 1 indexed citations
13.
Shankar, V. Gouri, et al.. (2007). Combining ability studies in diverse CMS sources in sunflower (Helianthus annuus L.). Indian Journal of Agricultural Research. 41(3). 171–176. 14 indexed citations
14.
Rao, P. Venkata, et al.. (2006). PATH COEFFICIENT ANALYSIS IN TURMERIC (CURCUMA LONGA L.). Indian Journal of Agricultural Research. 40(4). 286–289. 2 indexed citations
15.
Ganesh, M., et al.. (2006). ANALYSIS OF DIVERSE HYBRIDS FOR STABILITY TO SEED YIELD AND YIELD COMPONENTS IN SUNFLOWER. Annals of Agricultural Research. 27(2). 3 indexed citations
16.
Shankar, V. Gouri, et al.. (2006). Performance of elite inbreds with diverse CMS sources in sunflower (Helianthus annuus L.). Agricultural science digest. 26(4). 291–293. 2 indexed citations
17.
Shankar, V. Gouri, et al.. (2006). A STUDY ON CORRELATION AND PATH ANALYSIS OF SEED YIELD AND YIELD COMPONENTS IN SUNFLOWER (HELIANTHUS ANNUUS L.). 26(2). 87–90. 15 indexed citations
18.
Devi, Kamini, et al.. (2005). Combining ability and heterosis for seed yield and its attributes in sunflower. Agricultural science digest. 25(1). 11–14. 2 indexed citations
19.
Ganesh, M., et al.. (2004). Population improvement for seed yield and oil content in sunflower. Helia. 27(41). 123–128. 5 indexed citations
20.
Singh, U. P., M. Ganesh, & C. P. Srivastava. (1997). Detection of epistasis and estimation of components of genetic variation applying modified triple test cross analysis using two testers in pea (Pisum sativum L.). Indian Journal of Genetics and Plant Breeding (The). 57(2). 138–142. 6 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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