Anban Pillay

575 total citations
27 papers, 181 citations indexed

About

Anban Pillay is a scholar working on Artificial Intelligence, Infectious Diseases and Epidemiology. According to data from OpenAlex, Anban Pillay has authored 27 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Anban Pillay's work include Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (4 papers) and Respiratory viral infections research (3 papers). Anban Pillay is often cited by papers focused on Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (4 papers) and Respiratory viral infections research (3 papers). Anban Pillay collaborates with scholars based in South Africa, Australia and United States. Anban Pillay's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Patient Preference and Adherence.

In The Last Decade

Anban Pillay

25 papers receiving 168 citations

Peers

Anban Pillay
Treena Basu United States
Zubair Afzal Netherlands
David Heath United States
Matthew Bullock United States
Saleh I. Alzahrani Saudi Arabia
Casey S. Husser United States
Anban Pillay
Citations per year, relative to Anban Pillay Anban Pillay (= 1×) peers Takeshi Imai

Countries citing papers authored by Anban Pillay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Pillay, S, et al.. (2025). Efficacy of immunosuppression in preserving beta cell function and reducing insulin requirements in Type 1 diabetes mellitus: a comprehensive review. Journal of Endocrinology Metabolism and Diabetes of South Africa. 30(1). 14–20.
2.
Sinayskiy, Ilya, et al.. (2024). The effect of classical optimizers and Ansatz depth on QAOA performance in noisy devices. Scientific Reports. 14(1). 16011–16011. 14 indexed citations
3.
Pillay, Anban, et al.. (2024). Classical ensembles of single-qubit quantum variational circuits for classification. Quantum Machine Intelligence. 6(2). 1 indexed citations
4.
Pillay, Anban, et al.. (2023). Artificial Intelligence Research. Communications in computer and information science. 2 indexed citations
5.
Sinayskiy, Ilya, et al.. (2023). Near term algorithms for linear systems of equations. Quantum Information Processing. 22(6). 2 indexed citations
6.
Moonasar, Devanand, et al.. (2022). Governing a pandemic: A case study of South Africa’s coordination and management structures used to respond to the COVID-19 pandemic. South African Medical Journal. 112(5b). 356–360. 1 indexed citations
7.
Pillay, Anban, et al.. (2022). Artificial Intelligence Research. Communications in computer and information science. 1 indexed citations
8.
Pillay, Anban, et al.. (2022). Towards Rigorous Foundations for Metaheuristic Research. 151–157. 1 indexed citations
9.
Moore, David P., Robin J. Green, Cheryl Cohen, et al.. (2021). Epidemiology and aetiology of community-acquired pneumonia in children : South African Thoracic Society guidelines (part 1). UWA Profiles and Research Repository (UWA). 1 indexed citations
10.
Pillay, Anban, et al.. (2021). isiZulu Word Embeddings. 121–126. 1 indexed citations
11.
Zar, Heather J., David P. Moore, Savvas Andronikou, et al.. (2020). Diagnosis and management of community-acquired pneumonia in children: South African Thoracic Society guidelines. PubMed. 26(3). 98–98. 17 indexed citations
12.
Pillay, Anban, et al.. (2020). Improving the accuracy of diabetes retinopathy image classification using augmentation. 134–140. 5 indexed citations
13.
Zar, Heather J., David P. Moore, Savvas Andronikou, et al.. (2020). Prevention of community-acquired pneumonia in children: South African Thoracic Society guidelines (part 4). South African Medical Journal. 110(8). 741–741. 3 indexed citations
15.
Moodley, Deshendran, et al.. (2019). Modelling uncertain adaptive decisions: Application to KwaZulu-Natal sugarcane growers.. 145–160. 1 indexed citations
17.
Moodley, Deshendran, et al.. (2016). An ontology for factors affecting tuberculosis treatment adherence behavior in sub-Saharan Africa. Patient Preference and Adherence. 10. 669–669. 7 indexed citations
18.
Moodley, Deshendran, et al.. (2015). An Ontology for Tuberculosis Treatment Adherence Behaviour. 1–10. 2 indexed citations
20.
Moodley, Deshendran, et al.. (2012). An interoperability architecture for the health information exchange in Rwanda. 3 indexed citations

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.

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