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.
Countries citing papers authored by Pramod Viswanath
Since
Specialization
Citations
This map shows the geographic impact of Pramod Viswanath'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 Pramod Viswanath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pramod Viswanath more than expected).
Fields of papers citing papers by Pramod Viswanath
This network shows the impact of papers produced by Pramod Viswanath. 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 Pramod Viswanath. The network helps show where Pramod Viswanath may publish in the future.
Co-authorship network of co-authors of Pramod Viswanath
This figure shows the co-authorship network connecting the top 25 collaborators of Pramod Viswanath.
A scholar is included among the top collaborators of Pramod Viswanath 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 Pramod Viswanath. Pramod Viswanath is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gao, Weihao, et al.. (2019). Learning one-hidden-layer neural networks under general input distributions. International Conference on Artificial Intelligence and Statistics. 1950–1959.2 indexed citations
5.
Asnani, Himanshu, et al.. (2018). Estimators for Multivariate Information Measures in General Probability Spaces. Neural Information Processing Systems. 31. 8664–8675.
6.
Viswanath, Pramod, et al.. (2017). Deanonymization in the Bitcoin P2P Network. Neural Information Processing Systems. 30. 1364–1373.20 indexed citations
Tyagi, Himanshu, Pramod Viswanath, & Shun Watanabe. (2017). Interactive Communication for Data Exchange. IEEE Transactions on Information Theory. 64(1). 26–37.4 indexed citations
Geng, Quan & Pramod Viswanath. (2013). The Optimal Mechanism in $(\epsilon,\delta)$-Differential Privacy. arXiv (Cornell University).1 indexed citations
17.
Geng, Quan & Pramod Viswanath. (2012). Optimal Noise-Adding Mechanism in Differential Privacy. arXiv (Cornell University).3 indexed citations
18.
Viswanath, Pramod, et al.. (2010). Compress-and-Forward Scheme for a Relay Network: Approximate Optimality and Connection to Algebraic Flows. arXiv (Cornell University).2 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.