Chitra Raghavan
- Plant Science top 2%
- Clinical Psychology top 2%
- Health top 1%
- Sociology and Political Science top 5%
- Genetics top 5%
- Co-authors
- Howard BerenbaumHuynh-Nhu LeSuzanne C. SwanHei LeungConnie J. A. BeckChristopher T. AllenSusan E. JamesSharon Kingston
- Topics
- Intimate Partner and Family Violence (21 papers)Genetic Mapping and Diversity in Plants and Animals (16 papers)Sexual Assault and Victimization Studies (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsBioresource Technology
- Partner nations
- United StatesPhilippinesAustralia
In The Last Decade
Chitra Raghavan
74 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 129
- Plant Science 993
- Clinical Psychology 615
- Health 583
- Sociology and Political Science 526
- Genetics 478
Countries citing papers authored by Chitra Raghavan
This map shows the geographic impact of Chitra Raghavan'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 Chitra Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chitra Raghavan more than expected).
Fields of papers citing papers by Chitra Raghavan
This network shows the impact of papers produced by Chitra Raghavan. 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 Chitra Raghavan. The network helps show where Chitra Raghavan may publish in the future.
Co-authorship network of co-authors of Chitra Raghavan
This figure shows the co-authorship network connecting the top 25 collaborators of Chitra Raghavan. A scholar is included among the top collaborators of Chitra Raghavan 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 Chitra Raghavan. Chitra Raghavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | A Deep Learning Method to Impute Missing Values and Compress Genome-ide Polymorphism Data in Rice. | 2 |
| 5 | 2 | |
| 6 | 33 | |
| 7 | 64 | |
| 8 | 18 | |
| 9 | Critical considerations for molecular breeding in rice | 1 |
| 10 | 170 | |
| 11 | 51 | |
| 12 | 265 | |
| 13 | 44 | |
| 14 | 32 | |
| 15 | 62 | |
| 16 | 46 | |
| 17 | A study of values as cross-cultural competencies: a potential source of self-esteem? | 2 |
| 18 | 68 | |
| 19 | 114 | |
| 20 | 3 |
About Chitra Raghavan
Chitra Raghavan is a scholar working on Health, Gender Studies and Clinical Psychology, having authored 78 papers that have together received 2.4k indexed citations. Recurring topics across this work include Intimate Partner and Family Violence (21 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Sexual Assault and Victimization Studies (12 papers). The work is most often cited by research in Health (583 citations), Gender Studies (305 citations) and Clinical Psychology (615 citations). Chitra Raghavan has collaborated with scholars based in United States, Philippines and Australia. Frequent co-authors include Howard Berenbaum, Huynh-Nhu Le, Suzanne C. Swan, Hei Leung, Connie J. A. Beck, Christopher T. Allen, Susan E. James, Sharon Kingston, Ramil Mauleon and Trevor W. Stevenson. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Bioresource Technology.
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.