K. Prabha
Impact in
- Endocrinology top 10%
- Plant and Fungal Interactions Research
-
- Recycling and Waste Management Techniques
Papers in
-
- Plant Virus Research Studies 9
- Plant Pathogenic Bacteria Studies 3
-
- Advanced Clustering Algorithms Research 3
- Co-authors
- V. K. Baranwal (9 shared papers)Ritu Jain (1 shared paper)N.S. Magesh (1 shared paper)A. Vidyasakar (1 shared paper)S. Krishnakumar (1 shared paper)Prince S. Godson (1 shared paper)Kannaiyan Neelavannan (1 shared paper)R. K. Jain (3 shared papers)
- Journals
- Theoretical and Applied Genetics (1 paper)Plant Disease (1 paper)Scientia Horticulturae (1 paper)Virus Genes (1 paper)Marine Pollution Bulletin (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
K. Prabha
23 papers receiving 278 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 48
- Industrial and Manufacturing Engineering 62
- Pollution 73
- Plant Science 95
- Insect Science 26
Countries citing papers authored by K. Prabha
This map shows the geographic impact of K. Prabha'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 K. Prabha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Prabha more than expected).
Fields of papers citing papers by K. Prabha
This network shows the impact of papers produced by K. Prabha. 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 K. Prabha. The network helps show where K. Prabha may publish in the future.
Co-authors
The 22 scholars most cited alongside K. Prabha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | 2013 | 30 | |
| 3 | 2016 | 30 | |
| 4 | 2014 | 26 | |
| 5 | 2023 | 17 | |
| 6 | 2019 | 13 | |
| 7 | 2012 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2011 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2012 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 1982 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2022 | 2 |
About K. Prabha
K. Prabha is a scholar working on Plant Science, Artificial Intelligence, Computer Networks and Communications, Endocrinology and Molecular Biology, having authored 29 papers that have together received 291 indexed citations. Recurring topics across this work include Plant Virus Research Studies (9 papers), Plant and Fungal Interactions Research (6 papers), Mobile Ad Hoc Networks (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Complex Network Analysis Techniques (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Advanced Clustering Algorithms Research (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Endocrinology (48 citations), Industrial and Manufacturing Engineering (62 citations), Pollution (73 citations), Plant Science (95 citations) and Insect Science (26 citations). K. Prabha has collaborated with scholars based in India and United States. Frequent co-authors include V. K. Baranwal, Ritu Jain, N.S. Magesh, A. Vidyasakar, S. Krishnakumar, Prince S. Godson, Kannaiyan Neelavannan, R. K. Jain, M. Prasath and M. Selvapandiyan. Their work appears in journals such as Theoretical and Applied Genetics, Plant Disease, Scientia Horticulturae, Virus Genes and Marine Pollution Bulletin.
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.