Tamás Linder

3.3k total citations
143 papers, 1.9k citations indexed

About

Tamás Linder is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tamás Linder has authored 143 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Electrical and Electronic Engineering, 59 papers in Computer Networks and Communications and 59 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tamás Linder's work include Advanced Data Compression Techniques (51 papers), Wireless Communication Security Techniques (41 papers) and Error Correcting Code Techniques (24 papers). Tamás Linder is often cited by papers focused on Advanced Data Compression Techniques (51 papers), Wireless Communication Security Techniques (41 papers) and Error Correcting Code Techniques (24 papers). Tamás Linder collaborates with scholars based in Canada, United States and Hungary. Tamás Linder's co-authors include K. Zeger, Gábor Lugosi, Fady Alajaji, Adam Krzyżak, András György, Ram Zamir, Balázs Kégl, Bahman Gharesifard, Mohammad Amin Akbari and Serdar Yüksel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Tamás Linder

131 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamás Linder Canada 24 691 689 672 534 265 143 1.9k
Erik Ordentlich United States 20 495 0.7× 513 0.7× 425 0.6× 367 0.7× 102 0.4× 78 1.5k
Bharath K. Sriperumbudur United States 19 1.2k 1.7× 492 0.7× 180 0.3× 284 0.5× 228 0.9× 50 2.5k
Aritra Ghosh United States 9 1.2k 1.7× 300 0.4× 1.7k 2.5× 331 0.6× 139 0.5× 26 3.0k
João Xavier Portugal 25 589 0.9× 364 0.5× 1.4k 2.0× 572 1.1× 705 2.7× 124 2.4k
Animashree Anandkumar United States 20 654 0.9× 182 0.3× 409 0.6× 228 0.4× 309 1.2× 99 1.6k
Fady Alajaji Canada 25 508 0.7× 385 0.6× 927 1.4× 1.2k 2.2× 86 0.3× 165 1.7k
Hong Man United States 21 496 0.7× 516 0.7× 695 1.0× 397 0.7× 79 0.3× 127 1.7k
Yuval Rabani Israel 30 827 1.2× 447 0.6× 1.4k 2.0× 303 0.6× 109 0.4× 94 2.9k
Kai Yu Germany 23 1.7k 2.4× 1.1k 1.7× 183 0.3× 110 0.2× 273 1.0× 48 2.8k
Anand D. Sarwate United States 22 1.3k 1.9× 159 0.2× 948 1.4× 490 0.9× 112 0.4× 119 2.5k

Countries citing papers authored by Tamás Linder

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Linder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Linder

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Linder. A scholar is included among the top collaborators of Tamás Linder 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 Tamás Linder. Tamás Linder 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.
Alajaji, Fady, et al.. (2025). Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures. Entropy. 27(7). 727–727.
2.
Gharesifard, Bahman, et al.. (2024). Distributed Optimization With Uncertain Communications. IEEE Transactions on Automatic Control. 70(4). 2746–2753. 1 indexed citations
3.
Linder, Tamás, et al.. (2024). Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources. IEEE Transactions on Information Theory. 70(11). 8399–8413. 4 indexed citations
4.
Györfi, László, Tamás Linder, & Harro Walk. (2023). Lossless Transformations and Excess Risk Bounds in Statistical Inference. Entropy. 25(10). 1394–1394. 3 indexed citations
5.
Linder, Tamás, et al.. (2023). An Asymptotically Optimal Two-Part Fixed-Rate Coding Scheme for Networked Control With Unbounded Noise. IEEE Transactions on Information Theory. 69(10). 6765–6786.
6.
Alajaji, Fady, et al.. (2022). Rényi Cross-Entropy Measures for Common Distributions and Processes with Memory. Entropy. 24(10). 1417–1417. 3 indexed citations
7.
Gezici, Sinan, et al.. (2021). Signaling Games for Log-Concave Distributions: Number of Bins and Properties of Equilibria. IEEE Transactions on Information Theory. 68(3). 1731–1757. 3 indexed citations
8.
Linder, Tamás, et al.. (2021). Zero-Delay Lossy Coding of Linear Vector Markov Sources: Optimality of Stationary Codes and Near Optimality of Finite Memory Codes. IEEE Transactions on Information Theory. 68(5). 3474–3488. 6 indexed citations
9.
Alajaji, Fady, et al.. (2021). Two-Way Source-Channel Coding. IEEE Transactions on Information Theory. 67(10). 6507–6524.
10.
Akbari, Mohammad Amin, Bahman Gharesifard, & Tamás Linder. (2020). Riccati updates for online linear quadratic control. 476–485. 1 indexed citations
11.
Song, Lin, et al.. (2019). Capacity of Two-Way Channels With Symmetry Properties. IEEE Transactions on Information Theory. 65(10). 6290–6313. 4 indexed citations
12.
Gharesifard, Bahman, et al.. (2019). Push-Sum on Random Graphs: Almost Sure Convergence and Convergence Rate. IEEE Transactions on Automatic Control. 65(3). 1295–1302. 1 indexed citations
13.
Saldı, Naci, Serdar Yüksel, & Tamás Linder. (2019). Asymptotic Optimality of Finite Model Approximations for Partially Observed Markov Decision Processes With Discounted Cost. IEEE Transactions on Automatic Control. 65(1). 130–142. 10 indexed citations
14.
Alajaji, Fady, et al.. (2019). Joint Source-Channel Coding for the Transmission of Correlated Sources over Two-Way Channels. 1322–1326. 3 indexed citations
15.
Akbari, Mohammad Amin, Bahman Gharesifard, & Tamás Linder. (2018). Individual Regret Bounds for the Distributed Online Alternating Direction Method of Multipliers. IEEE Transactions on Automatic Control. 64(4). 1746–1752. 19 indexed citations
16.
Song, Lin, Fady Alajaji, & Tamás Linder. (2018). Capacity of Burst Noise-Erasure Channels With and Without Feedback and Input Cost. IEEE Transactions on Information Theory. 65(1). 276–291. 5 indexed citations
17.
György, András, Tamás Linder, & Gábor Lugosi. (2008). Efficient tracking of the best of many experts. SZTAKI Publication Repository (Hungarian Academy of Sciences). 2 indexed citations
18.
Alajaji, Fady, et al.. (2005). Improved Lower Bounds for the Error Rate of Linear Block Codes. 92(6). 1106–1120. 2 indexed citations
19.
Kégl, Balázs, Adam Krzyżak, Tamás Linder, & K. Zeger. (1998). A Polygonal Line Algorithm for Constructing Principal Curves. Neural Information Processing Systems. 11. 501–507. 30 indexed citations
20.
Krzyżak, Adam, Tamás Linder, & Gábor Lugosi. (1996). Nonparametric estimation and classification using radial basis function nets and empirical risk minimization. IEEE Transactions on Neural Networks. 7(2). 475–487. 54 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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