Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Bayesian Optimization for Adaptive Experimental Design: A Review
2020313 citationsStewart Greenhill, Santu Rana et al.IEEE Accessprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Sunil Gupta'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 Sunil Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Gupta more than expected).
This network shows the impact of papers produced by Sunil Gupta. 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 Sunil Gupta. The network helps show where Sunil Gupta may publish in the future.
Co-authorship network of co-authors of Sunil Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Gupta.
A scholar is included among the top collaborators of Sunil Gupta 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 Sunil Gupta. Sunil Gupta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Greenhill, Stewart, Santu Rana, Sunil Gupta, Pratibha Vellanki, & Svetha Venkatesh. (2020). Bayesian Optimization for Adaptive Experimental Design: A Review. IEEE Access. 8. 13937–13948.313 indexed citations breakdown →
14.
Gupta, Sunil, et al.. (2020). Distributionally Robust Bayesian Quadrature Optimization. RMIT Research Repository (RMIT University Library). 1921–1931.1 indexed citations
15.
Gupta, Sunil, Alistair Shilton, Santu Rana, & Svetha Venkatesh. (2018). Exploiting strategy-space diversity for batch Bayesian optimization. Own your potential (DEAKIN). 538–547.5 indexed citations
16.
Gupta, Sunil, et al.. (2018). Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation. Own your potential (DEAKIN). 31. 1–9.4 indexed citations
17.
Nguyen, Vu, Sunil Gupta, Santu Rana, Cheng Li, & Svetha Venkatesh. (2017). Regret for expected improvement over the best-observed value and stopping condition. Figshare. 279–294.19 indexed citations
18.
Gupta, Sunil. (2016). To Determine the Effect of Machining Parameters on Material Removal Rate of Aluminium 6063 using Turning on Lathe Machine. International Journal of Multidisciplinary and Current Research. 4.2 indexed citations
19.
Nguyen, Vu, Sunil Gupta, Santu Rana, Cheng Li, & Svetha Venkatesh. (2016). A Bayesian Nonparametric Approach for Multi-label Classification. Own your potential (DEAKIN). 254–269.6 indexed citations
20.
Gupta, Sunil, Michael R. Hagerty, & John G. Myers. (1983). New Directions in Family Decision Making Research. ACR North American Advances.7 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.