Alex Dytso

666 total citations
79 papers, 369 citations indexed

About

Alex Dytso is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, Alex Dytso has authored 79 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 39 papers in Computer Networks and Communications and 20 papers in Statistics and Probability. Recurrent topics in Alex Dytso's work include Wireless Communication Security Techniques (30 papers), Distributed Sensor Networks and Detection Algorithms (20 papers) and Advanced MIMO Systems Optimization (14 papers). Alex Dytso is often cited by papers focused on Wireless Communication Security Techniques (30 papers), Distributed Sensor Networks and Detection Algorithms (20 papers) and Advanced MIMO Systems Optimization (14 papers). Alex Dytso collaborates with scholars based in United States, Israel and Italy. Alex Dytso's co-authors include H. Vincent Poor, Shlomo Shamai, Natasha Devroye, Daniela Tuninetti, Ronit Bustin, Martina Cardone, Mario Goldenbaum, Luca Barletta, Prateek Mittal and Gang Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and International Journal of Molecular Sciences.

In The Last Decade

Alex Dytso

71 papers receiving 365 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alex Dytso United States 10 186 127 94 55 38 79 369
Ashwin Pananjady United States 8 51 0.3× 69 0.5× 99 1.1× 58 1.1× 13 0.3× 28 256
M. V. Burnashev Russia 11 265 1.4× 252 2.0× 110 1.2× 47 0.9× 10 0.3× 66 397
F. Kanaya Japan 10 112 0.6× 51 0.4× 141 1.5× 22 0.4× 17 0.4× 32 292
Yolanda Tsang United States 7 48 0.3× 313 2.5× 101 1.1× 21 0.4× 65 1.7× 9 389
Himanshu Tyagi India 12 276 1.5× 201 1.6× 134 1.4× 22 0.4× 6 0.2× 64 438
Lorenzo Orecchia United States 11 33 0.2× 109 0.9× 141 1.5× 37 0.7× 62 1.6× 21 406
Victoria Kostina United States 14 363 2.0× 295 2.3× 132 1.4× 17 0.3× 11 0.3× 77 572
Ramji Venkataramanan United States 13 286 1.5× 289 2.3× 121 1.3× 34 0.6× 10 0.3× 55 515
I-Hsiang Wang Taiwan 12 579 3.1× 518 4.1× 73 0.8× 12 0.2× 47 1.2× 76 740
Walid Hachem France 14 363 2.0× 435 3.4× 102 1.1× 77 1.4× 12 0.3× 28 642

Countries citing papers authored by Alex Dytso

Since Specialization
Citations

This map shows the geographic impact of Alex Dytso'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 Alex Dytso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Dytso more than expected).

Fields of papers citing papers by Alex Dytso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex Dytso. 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 Alex Dytso. The network helps show where Alex Dytso may publish in the future.

Co-authorship network of co-authors of Alex Dytso

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Dytso. A scholar is included among the top collaborators of Alex Dytso 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 Alex Dytso. Alex Dytso 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.
Dytso, Alex, et al.. (2025). A Comprehensive Study on Ziv-Zakai Lower Bounds on the MMSE. IEEE Transactions on Information Theory. 71(4). 3214–3236. 1 indexed citations
2.
Barletta, Luca, Alex Dytso, & Shlomo Shamai. (2025). Estimation Error: Distribution and Pointwise Limits. 727–732. 1 indexed citations
3.
Barletta, Luca, et al.. (2024). Capacity-Achieving Input of Non-Coherent Rayleigh Fading Channels: Bounds on the Number of Mass Points. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 4126–4131. 1 indexed citations
4.
Dytso, Alex & Martina Cardone. (2024). Uniform Distribution on ($n - 1$)-Sphere: Rate-Distortion Under Squared Error Distortion. 873–878. 1 indexed citations
5.
Dytso, Alex, et al.. (2024). L 1 Estimation: On the Optimality of Linear Estimators. IEEE Transactions on Information Theory. 70(11). 8026–8039. 1 indexed citations
6.
Dytso, Alex, et al.. (2023). Retrieving Data Permutations From Noisy Observations: Asymptotics. IEEE Transactions on Information Theory. 70(4). 2999–3017.
7.
Dytso, Alex, H. Vincent Poor, & Shlomo Shamai. (2022). Conditional Mean Estimation in Gaussian Noise: A Meta Derivative Identity With Applications. IEEE Transactions on Information Theory. 69(3). 1883–1898. 5 indexed citations
8.
Zapico, Sara C., et al.. (2022). The Perfect Match: Assessment of Sample Collection Efficiency for Immunological and Molecular Findings in Different Types of Fabrics. International Journal of Molecular Sciences. 23(18). 10686–10686. 6 indexed citations
9.
Dytso, Alex, et al.. (2022). Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning. Entropy. 24(9). 1178–1178. 6 indexed citations
10.
Cao, Wei, et al.. (2021). Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information. Entropy. 23(5). 545–545. 1 indexed citations
11.
Cao, Wei, et al.. (2020). Robust Power Allocation for Parallel Gaussian Channels With Approximately Gaussian Input Distributions. IEEE Transactions on Wireless Communications. 19(6). 3685–3699. 1 indexed citations
12.
Dytso, Alex, et al.. (2020). The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator. IEEE Transactions on Signal Processing. 68. 5894–5903. 5 indexed citations
13.
Dytso, Alex, et al.. (2020). A variational interpretation of the Cramér–Rao bound. Signal Processing. 182. 107917–107917. 7 indexed citations
14.
Dytso, Alex, et al.. (2020). Recovering Data Permutations From Noisy Observations: The Linear Regime. IEEE Journal on Selected Areas in Information Theory. 1(3). 854–869. 6 indexed citations
15.
Dytso, Alex, et al.. (2019). MMSE Bounds for Additive Noise Channels Under Kullback–Leibler Divergence Constraints on the Input Distribution. IEEE Transactions on Signal Processing. 67(24). 6352–6367. 12 indexed citations
16.
Cao, Wei, et al.. (2019). Sum-Capacity of the MIMO Many-Access Gaussian Noise Channel. IEEE Transactions on Communications. 67(8). 5419–5433. 4 indexed citations
17.
Dytso, Alex, Martina Cardone, & H. Vincent Poor. (2019). On Estimating the Norm of a Gaussian Vector Under Additive White Gaussian Noise. IEEE Signal Processing Letters. 26(9). 1325–1329. 6 indexed citations
18.
Dytso, Alex, Mario Goldenbaum, H. Vincent Poor, & Shlomo Shamai. (2019). Amplitude Constrained MIMO Channels: Properties of Optimal Input Distributions and Bounds on the Capacity. Entropy. 21(2). 200–200. 10 indexed citations
19.
Cao, Wei, et al.. (2018). Differentiated Service-Aware Group Paging for Massive Machine-Type Communication. IEEE Transactions on Communications. 66(11). 5444–5456. 12 indexed citations
20.
Dytso, Alex, Ronit Bustin, H. Vincent Poor, & Shlomo Shamai. (2017). A View of Information-Estimation Relations in Gaussian Networks. Entropy. 19(8). 409–409. 9 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.

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