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.
Diversifying search results
2009629 citationsRakesh Agrawal, Sreenivas Gollapudi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Sreenivas Gollapudi
Since
Specialization
Citations
This map shows the geographic impact of Sreenivas Gollapudi'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 Sreenivas Gollapudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sreenivas Gollapudi more than expected).
Fields of papers citing papers by Sreenivas Gollapudi
This network shows the impact of papers produced by Sreenivas Gollapudi. 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 Sreenivas Gollapudi. The network helps show where Sreenivas Gollapudi may publish in the future.
Co-authorship network of co-authors of Sreenivas Gollapudi
This figure shows the co-authorship network connecting the top 25 collaborators of Sreenivas Gollapudi.
A scholar is included among the top collaborators of Sreenivas Gollapudi 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 Sreenivas Gollapudi. Sreenivas Gollapudi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Slivkins, Aleksandrs, Filip Radlinski, & Sreenivas Gollapudi. (2013). Ranked bandits in metric spaces: learning diverse rankings over large document collections. Journal of Machine Learning Research. 14(1). 399–436.37 indexed citations
10.
Bhattacharya, Sayan, Gagan Goel, Sreenivas Gollapudi, & Kamesh Munagala. (2012). . Theory of Computing. 8(1). 429–460.18 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.