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.
Ultrasensitive hyperspectral imaging and biodetection enabled by dielectric metasurfaces
This map shows the geographic impact of Volkan Cevher'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 Volkan Cevher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volkan Cevher more than expected).
This network shows the impact of papers produced by Volkan Cevher. 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 Volkan Cevher. The network helps show where Volkan Cevher may publish in the future.
Co-authorship network of co-authors of Volkan Cevher
This figure shows the co-authorship network connecting the top 25 collaborators of Volkan Cevher.
A scholar is included among the top collaborators of Volkan Cevher 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 Volkan Cevher. Volkan Cevher is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Levy, Kfir Y., et al.. (2021). STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization. Neural Information Processing Systems. 34.2 indexed citations
5.
Lin, Junhong & Volkan Cevher. (2020). Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections. Journal of Machine Learning Research. 21(20). 1–44.5 indexed citations
6.
Fercoq, Olivier, et al.. (2019). Almost surely constrained convex optimization. Infoscience (Ecole Polytechnique Fédérale de Lausanne).1 indexed citations
7.
Kamalaruban, Parameswaran, et al.. (2019). Interactive Teaching Algorithms for Inverse Reinforcement Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne).13 indexed citations
8.
Eftekhari, Armin, et al.. (2019). Fast and Provable ADMM for Learning with Generative Priors. Neural Information Processing Systems. 32. 12027–12039.7 indexed citations
9.
Sra, Suvrit, et al.. (2019). Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7282–7291.5 indexed citations
Bogunovic, Ilija, et al.. (2018). Robust Maximization of Non-Submodular Objectives.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 890–899.1 indexed citations
12.
Cevher, Volkan, et al.. (2018). Stochastic Three-Composite Convex Minimization with a Linear Operator. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 765–774.5 indexed citations
13.
Scarlett, Jonathan & Volkan Cevher. (2017). Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework. Infoscience (Ecole Polytechnique Fédérale de Lausanne).1 indexed citations
14.
Mitrović, Slobodan, et al.. (2017). Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 30. 4557–4566.6 indexed citations
15.
Carlson, David, Volkan Cevher, & Lawrence Carin. (2015). Stochastic Spectral Descent for Restricted Boltzmann Machines. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 111–119.17 indexed citations
16.
Signoretto, Marco, Volkan Cevher, & Johan A. K. Suykens. (2013). An SVD-free Approach to a Class of Structured Low Rank Matrix Optimization Problems with Application to System Identification. Infoscience (Ecole Polytechnique Fédérale de Lausanne).23 indexed citations
17.
Cevher, Volkan, et al.. (2012). Active Learning of Multi-Index Function Models. Neural Information Processing Systems. 25. 1466–1474.15 indexed citations
18.
Cevher, Volkan, et al.. (2011). Compressible Priors for High-dimensional Statistics. arXiv (Cornell University).4 indexed citations
19.
Krause, Andreas & Volkan Cevher. (2010). Submodular Dictionary Selection for Sparse Representation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 567–574.53 indexed citations
20.
Cevher, Volkan, Marco F. Duarte, & Richard G. Baraniuk. (2008). Distributed target localization via spatial sparsity. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5.110 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.