Denız Gündüz
- Electrical and Electronic Engineering top 0.5%
- Computer Networks and Communications top 0.1%
- Artificial Intelligence top 0.1%
- Computer Vision and Pattern Recognition top 0.5%
- Control and Systems Engineering top 2%
- Co-authors
- Mohammad Mohammadi AmiriDavid Burth KurkaH. Vincent PoorElza ErkipEirina BourtsoulatzePol BlascoTze-Yang TungEmre Özfatura
- Topics
- Wireless Communication Security Techniques (129 papers)Cooperative Communication and Network Coding (118 papers)Advanced MIMO Systems Optimization (75 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEE
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Denız Gündüz
363 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Electrical and Electronic Engineering 6.3k
- Computer Networks and Communications 5.5k
- Artificial Intelligence 4.2k
- Computer Vision and Pattern Recognition 1.3k
- Control and Systems Engineering 521
Countries citing papers authored by Denız Gündüz
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | 8 | |
| 9 | 151 | |
| 10 | 9 | |
| 11 | 49 | |
| 12 | 3 | |
| 13 | Distributed Learning in Wireless Networks: Recent Progress and Future Challengesbreakdown → | 378 |
| 14 | Federated learning over wireless fading channelsbreakdown → | 425 |
| 15 | 19 | |
| 16 | 22 | |
| 17 | 24 | |
| 18 | 38 | |
| 19 | 41 | |
| 20 | 74 |
About Denız Gündüz
Denız Gündüz is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 381 papers that have together received 11.3k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (129 papers), Cooperative Communication and Network Coding (118 papers) and Advanced MIMO Systems Optimization (75 papers). The work is most often cited by research in Computer Networks and Communications (5.5k citations), Artificial Intelligence (4.2k citations) and Electrical and Electronic Engineering (6.3k citations). Denız Gündüz has collaborated with scholars based in United Kingdom, United States and Spain. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.
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.