Denız Gündüz

18.9k total citations · 10 hit papers
381 papers, 11.3k citations indexed

About

Denız Gündüz is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Denız Gündüz has authored 381 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 249 papers in Electrical and Electronic Engineering, 205 papers in Computer Networks and Communications and 118 papers in Artificial Intelligence. Recurrent topics in Denız Gündüz's work include Wireless Communication Security Techniques (129 papers), Cooperative Communication and Network Coding (118 papers) and Advanced MIMO Systems Optimization (75 papers). Denız Gündüz is often cited by papers focused on Wireless Communication Security Techniques (129 papers), Cooperative Communication and Network Coding (118 papers) and Advanced MIMO Systems Optimization (75 papers). Denız Gündüz collaborates with scholars based in United Kingdom, United States and Spain. Denız Gündüz's co-authors include Mohammad Mohammadi Amiri, David Burth Kurka, H. Vincent Poor, Elza Erkip, Eirina Bourtsoulatze, Pol Blasco, Tze-Yang Tung, Emre Özfatura, Andrea Goldsmith and Mahdi Boloursaz Mashhadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Denız Gündüz

363 papers receiving 11.2k citations

Hit Papers

Deep Joint Source-Channel... 2019 2026 2021 2023 2019 2020 2022 2020 2021 200 400 600
What are hit papers?

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.

  1. Deep Joint Source-Channel Coding for Wireless Image Transmission
    2019 736 citations Denız Gündüz et al. profile →
  2. Federated learning over wireless fading channels
    2020 425 citations Mohammad Mohammadi Amiri, Denız Gündüz IRIS UNIMORE (University of Modena and Reggio Emilia) profile →
  3. Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
    2022 404 citations Denız Gündüz, Zhijin Qin et al. profile →
  4. Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air
    2020 379 citations Mohammad Mohammadi Amiri, Denız Gündüz profile →
  5. Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
    2021 378 citations Denız Gündüz, H. Vincent Poor et al. profile →
  6. DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback
    2020 277 citations Denız Gündüz et al. profile →
  7. One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
    2020 274 citations Denız Gündüz et al. profile →
  8. Hierarchical federated learning across heterogeneous cellular networks
    2020 262 citations Emre Özfatura, Denız Gündüz et al. IRIS UNIMORE (University of Modena and Reggio Emilia) profile →
  9. DeepWiVe: Deep-Learning-Aided Wireless Video Transmission
    2022 119 citations Tze-Yang Tung, Denız Gündüz profile →
  10. Generative Joint Source-Channel Coding for Semantic Image Transmission
    2023 84 citations Tze-Yang Tung, Pier Luigi Dragotti et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Denız Gündüz 6.3k 5.5k 4.2k 1.3k 521 381 11.3k
Kin K. Leung 6.2k 1.0× 7.0k 1.3× 2.7k 0.7× 843 0.7× 241 0.5× 307 11.4k
Alejandro Ribeiro 3.0k 0.5× 5.6k 1.0× 4.1k 1.0× 699 0.5× 1.2k 2.2× 385 9.9k
Wade Trappe 5.4k 0.9× 6.2k 1.1× 2.6k 0.6× 2.0k 1.6× 449 0.9× 215 10.7k
T. Aaron Gulliver 4.0k 0.6× 2.5k 0.5× 2.4k 0.6× 456 0.4× 544 1.0× 731 6.9k
Narayan B. Mandayam 7.0k 1.1× 6.3k 1.1× 1.1k 0.3× 929 0.7× 327 0.6× 246 9.4k
Hsiao‐Hwa Chen 10.8k 1.7× 10.1k 1.8× 2.2k 0.5× 1.1k 0.8× 947 1.8× 485 15.8k
Miodrag Potkonjak 6.7k 1.1× 5.7k 1.0× 1.6k 0.4× 1.2k 0.9× 252 0.5× 419 12.9k
Shibo He 3.4k 0.5× 3.5k 0.6× 1.1k 0.3× 473 0.4× 351 0.7× 259 7.0k
Feng Zhao 3.2k 0.5× 6.0k 1.1× 1.7k 0.4× 1.2k 0.9× 501 1.0× 306 9.1k
Tomoaki Ohtsuki 3.7k 0.6× 2.2k 0.4× 2.3k 0.5× 604 0.5× 214 0.4× 677 7.3k

Countries citing papers authored by Denız Gündüz

Since Specialization
Citations

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

Fields of papers citing papers by Denız Gündüz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denız Gündüz

This figure shows the co-authorship network connecting the top 25 collaborators of Denız Gündüz. A scholar is included among the top collaborators of Denız Gündüz 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 Denız Gündüz. Denız Gündüz 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.
Shiri, Isaac, Behrooz Razeghi, Yazdan Salimi, et al.. (2024). PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation. Journal of Biomedical Informatics. 150. 104583–104583. 5 indexed citations
2.
Zhang, Ping, Zhaoyang Zhang, Kai Niu, et al.. (2024). Semantic communications: Theories, technologies and applications. China Communications. 21(7). iii–vii. 2 indexed citations
3.
Bian, Chenghong, Yulin Shao, Haotian Wu, & Denız Gündüz. (2023). Space-Time Design for Deep Joint Source Channel Coding of Images over MIMO Channels. 616–620. 15 indexed citations
4.
Amiri, Mohammad Mohammadi, Denız Gündüz, Sanjeev R. Kulkarni, & H. Vincent Poor. (2021). Convergence of update aware device scheduling for federated learning at the wireless edge. Iris Unimore (University of Modena and Reggio Emilia). 151 indexed citations
5.
Dragotti, Pier Luigi, et al.. (2021). Active privacy-utility trade-off against a hypothesis testing adversary. IRIS UNIMORE (University of Modena and Reggio Emilia). 9 indexed citations
6.
Gündüz, Denız, et al.. (2021). Private wireless federated learning with anonymous over-the-air computation. IRIS UNIMORE (University of Modena and Reggio Emilia). 23 indexed citations
7.
Mashhadi, Mahdi Boloursaz, et al.. (2021). . View. 49 indexed citations
8.
Xia, Jingyuan & Denız Gündüz. (2021). Meta-learning Based Beamforming Design for MISO Downlink. IRIS UNIMORE (University of Modena and Reggio Emilia). 16 indexed citations
9.
Mashhadi, Mahdi Boloursaz, Qianqian Yang, & Denız Gündüz. (2021). . View. 88 indexed citations
10.
Özfatura, Emre, et al.. (2020). Age-Based Coded Computation for Bias Reduction in Distributed Learning. IRIS UNIMORE (University of Modena and Reggio Emilia). 19 indexed citations
11.
Amiri, Mohammad Mohammadi & Denız Gündüz. (2020). Federated learning over wireless fading channels. IRIS UNIMORE (University of Modena and Reggio Emilia). 425 indexed citations breakdown →
12.
Mashhadi, Mahdi Boloursaz & Denız Gündüz. (2020). Deep learning for massive MIMO channel state acquisition and feedback. IRIS UNIMORE (University of Modena and Reggio Emilia). 22 indexed citations
13.
Razeghi, Behrooz, Flávio P. Calmon, Denız Gündüz, & Slava Voloshynovskiy. (2020). On Perfect Obfuscation: Local Information Geometry Analysis. IRIS UNIMORE (University of Modena and Reggio Emilia). 11 indexed citations
14.
Özfatura, Emre & Denız Gündüz. (2020). Mobility-aware coded storage and delivery. IRIS UNIMORE (University of Modena and Reggio Emilia). 22 indexed citations
15.
Ceran, Elif Tuğçe, Denız Gündüz, & András György. (2019). Average Age of Information With Hybrid ARQ Under a Resource Constraint. OpenMETU (Middle East Technical University). 160 indexed citations
16.
Gutierrez-Estevez, David M., et al.. (2019). Management and orchestration of virtual network functions via deep reinforcement learning. IRIS UNIMORE (University of Modena and Reggio Emilia). 53 indexed citations
17.
Amiri, Mohammad Mohammadi & Denız Gündüz. (2018). Caching and coded delivery over Gaussian broadcast channels for energy efficiency. Spiral (Imperial College London). 24 indexed citations
18.
Amiri, Mohammad Mohammadi, Qianqian Yang, & Denız Gündüz. (2017). Decentralized Caching and Coded Delivery with Distinct Cache Capacities. IRIS UNIMORE (University of Modena and Reggio Emilia). 41 indexed citations
19.
Amiri, Mohammad Mohammadi & Denız Gündüz. (2016). Fundamental limits of coded caching: improved delivery rate-cache capacity tradeoff. Spiral (Imperial College London). 74 indexed citations
20.
Aguerri, Iñaki Estella & Denız Gündüz. (2015). Joint source-channel coding with time-varying channel and side-information. Spiral (Imperial College London). 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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