Anban Pillay
- Artificial Intelligence top 10%
- Epidemiology
- Atomic and Molecular Physics, and Optics
- Health Information Management top 10%
- Computational Theory and Mathematics
- Co-authors
- Ilya SinayskiyFrancesco PetruccioneDeshendran MoodleyChristopher J. SeebregtsDaniel K. ParkAurona GerberDavid P. MooreTheunis Avenant
- Topics
- Quantum Computing Algorithms and Architecture (5 papers)Quantum Information and Cryptography (4 papers)Respiratory viral infections research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPatient Preference and Adherence
- Partner nations
- South AfricaAustraliaUnited States
In The Last Decade
Anban Pillay
25 papers receiving 168 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 98
- Epidemiology 22
- Atomic and Molecular Physics, and Optics 20
- Health Information Management 19
- Computational Theory and Mathematics 19
Countries citing papers authored by Anban Pillay
This map shows the geographic impact of Anban Pillay'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 Anban Pillay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anban Pillay more than expected).
Fields of papers citing papers by Anban Pillay
This network shows the impact of papers produced by Anban Pillay. 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 Anban Pillay. The network helps show where Anban Pillay may publish in the future.
Co-authorship network of co-authors of Anban Pillay
This figure shows the co-authorship network connecting the top 25 collaborators of Anban Pillay. A scholar is included among the top collaborators of Anban Pillay 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 Anban Pillay. Anban Pillay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | Modelling uncertain adaptive decisions: Application to KwaZulu-Natal sugarcane growers. | 1 |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 20 | |
| 20 | An interoperability architecture for the health information exchange in Rwanda | 3 |
About Anban Pillay
Anban Pillay is a scholar working on Health Information Management, Artificial Intelligence and Management Science and Operations Research, having authored 27 papers that have together received 181 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (4 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Health Information Management (19 citations), Artificial Intelligence (98 citations) and Health Informatics (3 citations). Anban Pillay has collaborated with scholars based in South Africa, Australia and United States. Frequent co-authors include Ilya Sinayskiy, Francesco Petruccione, Deshendran Moodley, Christopher J. Seebregts, Daniel K. Park, Aurona Gerber, David P. Moore, Theunis Avenant, Mark P. Nicol and Prakash Jeena. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Patient Preference and Adherence.
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.