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.
Network Coding for Distributed Storage Systems
20101.1k citationsAlexandros G. Dimakis, Yunnan Wu et al.profile →
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers
2013879 citationsKarthikeyan Shanmugam, Alexandros G. Dimakis et al.profile →
FemtoCaching: Wireless video content delivery through distributed caching helpers
2012519 citationsKarthikeyan Shanmugam, Alexandros G. Dimakis et al.profile →
Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution
2013500 citationsAlexandros G. Dimakis et al.profile →
XORing elephants
2013473 citationsMegasthenis Asteris, Dimitris Papailiopoulos et al.profile →
A Survey on Network Codes for Distributed Storage
2011369 citationsAlexandros G. Dimakis, Kannan Ramchandran et al.Proceedings of the IEEEprofile →
Deep Learning Techniques for Inverse Problems in Imaging
2020317 citationsAlexandros G. Dimakis et al.profile →
Base-Station Assisted Device-to-Device Communications for High-Throughput Wireless Video Networks
2014315 citationsAlexandros G. Dimakis et al.profile →
Model-Based Deep Learning
2023167 citationsNir Shlezinger, Jay Whang et al.Proceedings of the IEEEprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Alexandros G. Dimakis
Since
Specialization
Citations
This map shows the geographic impact of Alexandros G. Dimakis'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 Alexandros G. Dimakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandros G. Dimakis more than expected).
Fields of papers citing papers by Alexandros G. Dimakis
This network shows the impact of papers produced by Alexandros G. Dimakis. 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 Alexandros G. Dimakis. The network helps show where Alexandros G. Dimakis may publish in the future.
Co-authorship network of co-authors of Alexandros G. Dimakis
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandros G. Dimakis.
A scholar is included among the top collaborators of Alexandros G. Dimakis 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 Alexandros G. Dimakis. Alexandros G. Dimakis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shlezinger, Nir, Jay Whang, Yonina C. Eldar, & Alexandros G. Dimakis. (2023). Model-Based Deep Learning. Proceedings of the IEEE. 111(5). 465–499.167 indexed citations breakdown →
3.
Dimakis, Alexandros G., et al.. (2020). Exactly Computing the Local Lipschitz Constant of ReLU Networks. Neural Information Processing Systems. 33. 7344–7353.1 indexed citations
4.
Dimakis, Alexandros G., et al.. (2019). Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes. arXiv (Cornell University). 32. 14059–14069.3 indexed citations
Bora, Ashish, Eric Price, & Alexandros G. Dimakis. (2018). AmbientGAN: Generative models from lossy measurements. International Conference on Learning Representations.43 indexed citations
7.
Wu, Shanshan, Alexandros G. Dimakis, Sujay Sanghavi, et al.. (2018). The Sparse Recovery Autoencoder.. arXiv (Cornell University).3 indexed citations
8.
Khanna, Rajiv, et al.. (2017). Scalable Greedy Feature Selection via Weak Submodularity.. International Conference on Artificial Intelligence and Statistics. 1560–1568.9 indexed citations
9.
Sen, Rajat, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, & Sanjay Shakkottai. (2017). Model-Powered Conditional Independence Test. Neural Information Processing Systems. 30. 2951–2961.3 indexed citations
10.
Khanna, Rajiv, et al.. (2017). On Approximation Guarantees for Greedy Low Rank Optimization. International Conference on Machine Learning. 1837–1846.2 indexed citations
11.
Tandon, Rashish, Qi Lei, Alexandros G. Dimakis, & Nikos Karampatziakis. (2017). Gradient Coding: Avoiding Stragglers in Distributed Learning. International Conference on Machine Learning. 3368–3376.196 indexed citations
12.
Dimakis, Alexandros G., et al.. (2017). Cost-Optimal Learning of Causal Graphs. International Conference on Machine Learning. 1875–1884.3 indexed citations
13.
Asteris, Megasthenis, Dimitris Papailiopoulos, Anastasios Kyrillidis, & Alexandros G. Dimakis. (2015). Sparse PCA via bipartite matchings. Neural Information Processing Systems. 28. 766–774.3 indexed citations
14.
Tandon, Rashish, Karthikeyan Shanmugam, Pradeep Ravikumar, & Alexandros G. Dimakis. (2014). On the Information Theoretic Limits of Learning Ising Models. Neural Information Processing Systems. 27. 2303–2311.9 indexed citations
15.
Papailiopoulos, Dimitris, Ioannis Mitliagkas, Alexandros G. Dimakis, & Constantine Caramanis. (2014). Finding Dense Subgraphs via Low-Rank Bilinear Optimization. International Conference on Machine Learning. 1890–1898.13 indexed citations
16.
Dimakis, Alexandros G., et al.. (2014). A Smoothed Analysis for Learning Sparse Polynomials.. arXiv (Cornell University).1 indexed citations
Bénézit, Florence, Alexandros G. Dimakis, Patrick Thiran, & Martin Vetterli. (2007). Gossip along the way: order-optimal consensus through randomized path averaging. Infoscience (Ecole Polytechnique Fédérale de Lausanne).41 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.