Gyula Sallai
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Péter BárányiÁdám CsapóLászló GyarmatiTuan Anh TrinhTibor CinklerAndrás KernZoltán MicskeiHideki Hashimoto
- Topics
- Network Traffic and Congestion Control (8 papers)Advanced Optical Network Technologies (8 papers)Cognitive Computing and Networks (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Journal on Selected Areas in CommunicationsIEEE Communications Magazine
- Partner nations
- HungarySwitzerlandDenmark
In The Last Decade
Gyula Sallai
28 papers receiving 476 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Control and Systems Engineering 241
- Artificial Intelligence 184
- Human-Computer Interaction 83
- Computer Networks and Communications 81
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Gyula Sallai
This map shows the geographic impact of Gyula Sallai'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 Gyula Sallai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyula Sallai more than expected).
Fields of papers citing papers by Gyula Sallai
This network shows the impact of papers produced by Gyula Sallai. 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 Gyula Sallai. The network helps show where Gyula Sallai may publish in the future.
Co-authorship network of co-authors of Gyula Sallai
This figure shows the co-authorship network connecting the top 25 collaborators of Gyula Sallai. A scholar is included among the top collaborators of Gyula Sallai 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 Gyula Sallai. Gyula Sallai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | Cognitive Infocommunications (CogInfoCom)breakdown → | 378 |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 40 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Gyula Sallai
Gyula Sallai is a scholar working on Media Technology, Computer Networks and Communications and Transportation, having authored 32 papers that have together received 518 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (8 papers), Advanced Optical Network Technologies (8 papers) and Cognitive Computing and Networks (6 papers). The work is most often cited by research in Human-Computer Interaction (83 citations), Control and Systems Engineering (241 citations) and Artificial Intelligence (184 citations). Gyula Sallai has collaborated with scholars based in Hungary, Switzerland and Denmark. Frequent co-authors include Péter Bárányi, Ádám Csapó, László Gyarmati, Tuan Anh Trinh, Tibor Cinkler, András Kern, Zoltán Micskei, Hideki Hashimoto, János Tapolcai and J. Szigeti. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.
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.