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.
Rank aggregation methods for the Web
20011.1k citationsCynthia Dwork, Ravi Kumar et al.profile →
Comparing top k lists
2003487 citationsRonald Fagin, Ravi Kumar et al.Symposium on Discrete Algorithmsprofile →
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 D. Sivakumar'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 D. Sivakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Sivakumar more than expected).
This network shows the impact of papers produced by D. Sivakumar. 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 D. Sivakumar. The network helps show where D. Sivakumar may publish in the future.
Co-authorship network of co-authors of D. Sivakumar
This figure shows the co-authorship network connecting the top 25 collaborators of D. Sivakumar.
A scholar is included among the top collaborators of D. Sivakumar 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 D. Sivakumar. D. Sivakumar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kong, Weiwei, Christopher Liaw, Aranyak Mehta, & D. Sivakumar. (2019). A new dog learns old tricks: RL finds classic optimization algorithms. International Conference on Learning Representations.17 indexed citations
Prakash, M. & D. Sivakumar. (2014). Information systems auditing and electronic commerce. International Journal of Advanced Research in Management and Social Sciences. 3(2). 106–119.1 indexed citations
5.
Tan, Chee Fai, et al.. (2013). Fire Fighting Mobile Robot: State of the Art and Recent Development. AUSTRALIAN JOURNAL OF BASIC AND APPLIED SCIENCES. 7(10). 220–230.27 indexed citations
Fagin, Ronald, Ravi Kumar, & D. Sivakumar. (2003). Comparing top k lists. Symposium on Discrete Algorithms. 17(1). 28–36.487 indexed citations breakdown →
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.