Melvin Joy
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- COVID-19 epidemiological studies 3
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- Acute Myeloid Leukemia Research 3
- Co-authors
- Edwin Sam Asirvatham (6 shared papers)Lakshmanan Jeyaseelan (10 shared papers)Thambu David Sudarsanam (1 shared paper)L. Jeyaseelan (1 shared paper)Thenmozhi Mani (4 shared papers)Achal P. Patel (3 shared papers)Paul J. Mustacchia (7 shared papers)Ruby S. M. Tsang (1 shared paper)
- Journals
- BMJ Open (2 papers)PLoS ONE (2 papers)Blood Advances (2 papers)Vaccine (1 paper)International Journal of Microbiology Research (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Melvin Joy
29 papers receiving 280 citations
Peers
Comparison fields: 5 of 71
- Modeling and Simulation 98
- Infectious Diseases 82
- Health 19
- Health Informatics 3
- Economics and Econometrics 40
Countries citing papers authored by Melvin Joy
This map shows the geographic impact of Melvin Joy'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 Melvin Joy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melvin Joy more than expected).
Fields of papers citing papers by Melvin Joy
This network shows the impact of papers produced by Melvin Joy. 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 Melvin Joy. The network helps show where Melvin Joy may publish in the future.
Co-authors
The 25 scholars most cited alongside Melvin Joy, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2020 | 26 | |
| 3 | 2020 | 25 | |
| 4 | 2017 | 20 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2019 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 4 | |
| 18 | Interim findings from first dose mass COVID-19 vaccination roll-out and COVID-19 hospitalisations in Scotland: National prospective cohort study of 5.4 million people | 2021 | 4 |
| 19 | 2024 | 4 | |
| 20 | 2022 | 2 |
About Melvin Joy
Melvin Joy is a scholar working on Modeling and Simulation, Hematology, Infectious Diseases, Health and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 286 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), COVID-19 epidemiological studies (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Acute Myeloid Leukemia Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Perfectionism, Procrastination, Anxiety Studies (2 papers) and Music Therapy and Health (2 papers). The work is most often cited by research in Modeling and Simulation (98 citations), Infectious Diseases (82 citations), Health (19 citations), Health Informatics (3 citations) and Economics and Econometrics (40 citations). Melvin Joy has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Edwin Sam Asirvatham, Lakshmanan Jeyaseelan, Thambu David Sudarsanam, L. Jeyaseelan, Thenmozhi Mani, Achal P. Patel, Paul J. Mustacchia, Ruby S. M. Tsang, OC Abraham and Pamela R. Kearns. Their work appears in journals such as BMJ Open, PLoS ONE, Blood Advances, Vaccine and International Journal of Microbiology Research.
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.