Sudhan Rackimuthu
- Infectious Diseases
- Modeling and Simulation top 5%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Health
- Co-authors
- Mohammad Yasir EssarIan Christopher N. RochaMohammad Mehedi HasanAna Carla dos Santos CostaMaryam Salma BabarZarmina IslamArash NematShoaib Ahmad
- Topics
- COVID-19 epidemiological studies (5 papers)Vaccine Coverage and Hesitancy (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Tropical Medicine and HygieneHealth Policy and Planning
- Partner nations
- IndiaAfghanistanPakistan
In The Last Decade
Sudhan Rackimuthu
18 papers receiving 162 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 63
- Modeling and Simulation 40
- Epidemiology 33
- Public Health, Environmental and Occupational Health 30
- Health 24
Countries citing papers authored by Sudhan Rackimuthu
This map shows the geographic impact of Sudhan Rackimuthu'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 Sudhan Rackimuthu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudhan Rackimuthu more than expected).
Fields of papers citing papers by Sudhan Rackimuthu
This network shows the impact of papers produced by Sudhan Rackimuthu. 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 Sudhan Rackimuthu. The network helps show where Sudhan Rackimuthu may publish in the future.
Co-authorship network of co-authors of Sudhan Rackimuthu
This figure shows the co-authorship network connecting the top 25 collaborators of Sudhan Rackimuthu. A scholar is included among the top collaborators of Sudhan Rackimuthu 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 Sudhan Rackimuthu. Sudhan Rackimuthu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 30 | |
| 17 | 22 | |
| 18 | 25 | |
| 19 | 0 |
About Sudhan Rackimuthu
Sudhan Rackimuthu is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 19 papers that have together received 168 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Modeling and Simulation (40 citations), Infectious Diseases (63 citations) and Health (24 citations). Sudhan Rackimuthu has collaborated with scholars based in India, Afghanistan and Pakistan. Frequent co-authors include Mohammad Yasir Essar, Ian Christopher N. Rocha, Mohammad Mehedi Hasan, Ana Carla dos Santos Costa, Maryam Salma Babar, Zarmina Islam, Arash Nemat, Shoaib Ahmad, Arush Lal and Faisal A. Nawaz. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Tropical Medicine and Hygiene and Health Policy and Planning.
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.