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.
DeepTest
2018786 citationsYuchi Tian, Kexin Pei et al.profile →
On the effectiveness of secret key extraction from wireless signal strength in real environments
2009388 citationsSuman Jana, Sriram N. Premnath et al.profile →
The most dangerous code in the world
2012265 citationsSuman Jana, Dan Boneh et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Suman Jana'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 Suman Jana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suman Jana more than expected).
This network shows the impact of papers produced by Suman Jana. 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 Suman Jana. The network helps show where Suman Jana may publish in the future.
Co-authorship network of co-authors of Suman Jana
This figure shows the co-authorship network connecting the top 25 collaborators of Suman Jana.
A scholar is included among the top collaborators of Suman Jana 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 Suman Jana. Suman Jana 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.
Xu, Kaidi, Huan Zhang, Shiqi Wang, et al.. (2021). Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. International Conference on Learning Representations.2 indexed citations
2.
Yao, Jianan, et al.. (2021). DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols.. Operating Systems Design and Implementation. 405–421.7 indexed citations
3.
Chen, Yizheng, et al.. (2021). Cost-Aware Robust Tree Ensembles for Security Applications.. USENIX Security Symposium. 2291–2308.3 indexed citations
4.
She, Dongdong, et al.. (2021). Fine Grained Dataflow Tracking with Proximal Gradients. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1611–1628.1 indexed citations
5.
Wang, Shiqi, Huan Zhang, Kaidi Xu, et al.. (2021). Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification. Neural Information Processing Systems. 34.39 indexed citations
Atlidakis, Vaggelis, et al.. (2018). On the Connection between Differential Privacy and Adversarial Robustness in Machine Learning. arXiv (Cornell University).8 indexed citations
Jana, Suman, et al.. (2016). Automatically Detecting Error Handling Bugs Using Error Specifications. USENIX Security Symposium. 345–362.28 indexed citations
13.
Corrigan-Gibbs, Henry & Suman Jana. (2015). Recommendations for randomness in the operating system or, how to keep evil children out of your pool and other random facts. 25–25.7 indexed citations
14.
McPherson, Richard, Suman Jana, & Vitaly Shmatikov. (2015). No Escape From Reality. 743–753.22 indexed citations
15.
Silver, David, Suman Jana, Dan Boneh, Eric Chen, & Collin Jackson. (2014). Password managers: attacks and defenses. USENIX Security Symposium. 449–464.55 indexed citations
16.
D’Antoni, Loris, Alan M. Dunn, Suman Jana, et al.. (2013). Operating system support for augmented reality applications. University of Birmingham Research Portal (University of Birmingham). 21–21.26 indexed citations
17.
Jana, Suman, Dávid Molnár, Alexander Moshchuk, et al.. (2013). Enabling fine-grained permissions for augmented reality applications with recognizers. University of Birmingham Research Portal (University of Birmingham). 415–430.59 indexed citations
Jana, Suman, Sriram N. Premnath, Mike Clark, et al.. (2009). On the effectiveness of secret key extraction from wireless signal strength in real environments. 321–332.388 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.