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.
Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior
This map shows the geographic impact of David Tse'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 David Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tse more than expected).
This network shows the impact of papers produced by David Tse. 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 David Tse. The network helps show where David Tse may publish in the future.
Co-authorship network of co-authors of David Tse
This figure shows the co-authorship network connecting the top 25 collaborators of David Tse.
A scholar is included among the top collaborators of David Tse 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 David Tse. David Tse is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Farnia, Farzan, et al.. (2018). Generalizable Adversarial Training via Spectral Normalization.. arXiv (Cornell University).11 indexed citations
6.
Feizi, Soheil, et al.. (2018). Porcupine Neural Networks: Approximating Neural Network Landscapes. Neural Information Processing Systems. 31. 4831–4841.5 indexed citations
7.
Farnia, Farzan & David Tse. (2018). A Convex Duality Framework for GANs. arXiv (Cornell University). 31. 5248–5258.11 indexed citations
8.
Bagaria, Vivek, Govinda M. Kamath, Vasilis Ntranos, Martin Jinye Zhang, & David Tse. (2018). Medoids in Almost-Linear Time via Multi-Armed Bandits.. International Conference on Artificial Intelligence and Statistics. 500–509.2 indexed citations
9.
Xia, Fei, Martin Jinye Zhang, James Zou, & David Tse. (2017). NeuralFDR: Learning Discovery Thresholds from Hypothesis Features. Neural Information Processing Systems. 30. 1541–1550.2 indexed citations
10.
Feizi, Soheil, et al.. (2017). Tensor Biclustering. Neural Information Processing Systems. 30. 1311–1320.3 indexed citations
11.
Farnia, Farzan & David Tse. (2016). A minimax approach to supervised learning. Neural Information Processing Systems. 29. 4240–4248.17 indexed citations
12.
Chen, Yuxin, Govinda M. Kamath, Changho Suh, & David Tse. (2016). Community recovery in graphs with locality. International Conference on Machine Learning. 689–698.6 indexed citations
Lam, Albert Y. S., Baosen Zhang, Alejandro D. Domínguez-García, & David Tse. (2012). Optimal Distributed Voltage Regulation in Power Distribution Networks. arXiv (Cornell University).60 indexed citations
15.
Motahari, Seyed Abolfazl, Guy Bresler, & David Tse. (2012). Information Theory of DNA Sequencing. arXiv (Cornell University).9 indexed citations
16.
Özgür, Ayfer, Olivier Lévêque, & David Tse. (2006). How does the information capacity of ad hoc networks scale. Infoscience (Ecole Polytechnique Fédérale de Lausanne).21 indexed citations
17.
Draper, Stark C., Kannan Ramchandran, Bixio Rimoldi, Anant Sahai, & David Tse. (2005). Attaining Maximal Reliability with Minimal Feedback via Joint Channel-code and Hash-Function Design. Infoscience (Ecole Polytechnique Fédérale de Lausanne).16 indexed citations
18.
Diggavi, Suhas & David Tse. (2004). On successive refinement of diversity. Infoscience (Ecole Polytechnique Fédérale de Lausanne).8 indexed citations
19.
Diggavi, Suhas, Matthias Grossglauser, & David Tse. (2002). Even one-dimensional mobility increases capacity of wireless adhoc networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 352.11 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.