S. Prashanth

637 citations
60 papers · 454 · h-index 13

Impact in

Papers in

S. Prashanth

55 papers receiving 402 citations

Peers

S. Prashanth
Comparison fields: 5 of 59
  • Applied Mathematics 234
  • Computational Theory and Mathematics 195
  • Mathematical Physics 82
  • Biotechnology 64
  • Filtration and Separation 8
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Qingyan Wu China
Lige Li United States
Cristóbal González Spain
Alessandro Calamai Italy
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Citations per field
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Citations per year

Countries citing papers authored by S. Prashanth

Since Specialization
Citations

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

Fields of papers citing papers by S. Prashanth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside S. Prashanth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Prashanth Line = papers co-authored together S. Prashanth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200478
2 200731
3 200626
4 200621
5 201220
6
Correlation and path analysis in tomato (Lycopersicon esculentum Mill.).
200819
7 199719
8 200719
9
Study on heterosis and combining ability for earliness and yield parameters in okra (Abelmoschus esculentus (L.)) Moench.
200817
10 200517
11 200317
12 200217
13
Genetic divergence in tomato (Lycopersicon esculentum Mill.).
200812
14 201610
15 20239
16 20098
17 20147
18 20147
19 20057
20
Studies on heterosis and combining ability for growth parameters in okra [Abelmoschus esculentus (L.) Moench].
20085

About S. Prashanth

S. Prashanth is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Plant Science, Mathematical Physics and Molecular Biology, having authored 60 papers that have together received 454 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (27 papers), Advanced Mathematical Modeling in Engineering (21 papers), Nonlinear Differential Equations Analysis (14 papers), Agricultural Practices and Plant Genetics (13 papers), Differential Equations and Boundary Problems (8 papers), Agricultural pest management studies (6 papers), Genetics and Plant Breeding (6 papers) and Advanced Mathematical Physics Problems (5 papers). The work is most often cited by research in Applied Mathematics (234 citations), Computational Theory and Mathematics (195 citations), Mathematical Physics (82 citations), Biotechnology (64 citations) and Filtration and Separation (8 citations). S. Prashanth has collaborated with scholars based in India, France and United States. Frequent co-authors include V. H. Mulimani, K. Sreenadh, Marcello Lucia, Jacques Giacomoni, Bernd Kawohl, Kamel Saoudi, Shiv Shankar, Adimurthi, D. Suresh and Massimo Grossi. Their work appears in journals such as Advances in Differential Equations, Proceedings of the American Mathematical Society, Differential and Integral Equations, Journal of Differential Equations and Journal of Mathematical Analysis and Applications.

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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