This map shows the geographic impact of Ramesh Kumar'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 Ramesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Kumar more than expected).
This network shows the impact of papers produced by Ramesh Kumar. 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 Ramesh Kumar. The network helps show where Ramesh Kumar may publish in the future.
Co-authorship network of co-authors of Ramesh Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Kumar.
A scholar is included among the top collaborators of Ramesh Kumar 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 Ramesh Kumar. Ramesh Kumar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Agarwal, Shubhra, et al.. (2020). Molecular characterization of native chicken: prospects and challenges. Journal of Entomology and Zoology Studies. 8. 103–106.3 indexed citations
7.
Góra, J., et al.. (2018). Determination of morphological diversity for seed and seedling characteristics in citrus rootstocks. International Journal of Chemical Studies. 6(6). 2921–2926.1 indexed citations
8.
Kumar, Ramesh, et al.. (2018). Mean performance of parents and hybrids involved in half diallel mating design in bell pepper (Capsicum annuum L. var. Grossum). Journal of Pharmacognosy and Phytochemistry. 7(1). 1040–1043.2 indexed citations
9.
Mukri, Ganapati, Ramesh Kumar, Bhupender Kumar, et al.. (2018). Strategic selection of white maize inbred lines for tropical adaptation and their utilization in developing stable, medium to long duration maize hybrids. Maydica. 63(2). 8.4 indexed citations
10.
Kumar, Ramesh, et al.. (2017). Studies on heterosis involving diverse cytoplasmic male sterility systems in pearl millet. Journal of Pharmacognosy and Phytochemistry. 6(6). 2056–2061.1 indexed citations
11.
Kumar, Ramesh, et al.. (2015). Assessment of drought tolerance in maize (Zea mays L.) based on different indices.. SABRAO Journal of Breeding and Genetics. 47(3). 291–298.10 indexed citations
12.
Kumar, Ramesh, et al.. (2014). D2 analysis to study genetic variability in temperate carrot (Daucus carota L.). Journal of research. 51(1). 42–44.1 indexed citations
Kumar, Ramesh, et al.. (2013). Evaluation of Bt cotton hybrids against bollworms in cotton.. Annals of Agri Bio Research. 18(1). 39–43.3 indexed citations
Babu, G. Suresh, et al.. (2011). Studies on exploitation of heterosis for grain yield and qualityparameters in quality protein maize (QPM) genotypes(Zea mays L.). Crop Research. 41(3). 171–175.
17.
Kumar, Ramesh, et al.. (2010). Effect of cytoplasm on combining ability and yield attributes in pearl millet [Pennisetum glaucum (L.) R. Br.].. Indian Journal of Genetics and Plant Breeding (The). 70(3). 247–256.5 indexed citations
18.
Singh, N. K., et al.. (2007). Combining ability for yield and yield components in rice. ORYZA- An International Journal on Rice. 44(2). 156–159.5 indexed citations
19.
Kumar, Ramesh, et al.. (2007). Effect of Planting Time and Spacing on Plant Growth, Flowering and Seed Yield in Coreopsis Lanceolata and Coreopsis Tinctoria. Journal of Ornamental Horticulture. 10(2). 105–109.2 indexed citations
20.
Kumar, Ramesh, et al.. (2004). Influence of Explant Source on Cultural Response and in Vitro Bulblet Production in Lilium. Journal of Ornamental Horticulture. 7(1). 111–114.1 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.