Viktória Fodor
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Signal Processing
- Co-authors
- György DánCarlo FischioneMing ZengGunnar KarlssonLoreto PescosolidoChiara PetrioliLiping WangQing He
- Topics
- Cognitive Radio Networks and Spectrum Sensing (12 papers)Wireless Networks and Protocols (11 papers)Caching and Content Delivery (11 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionElectrical and Electronic Engineering
- Journals
- IEEE Communications MagazineIEEE Transactions on Wireless CommunicationsIEEE Transactions on Vehicular Technology
- Partner nations
- SwedenItalyUnited States
In The Last Decade
Viktória Fodor
68 papers receiving 616 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 486
- Electrical and Electronic Engineering 320
- Computer Vision and Pattern Recognition 118
- Artificial Intelligence 92
- Signal Processing 30
Countries citing papers authored by Viktória Fodor
This map shows the geographic impact of Viktória Fodor'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 Viktória Fodor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktória Fodor more than expected).
Fields of papers citing papers by Viktória Fodor
This network shows the impact of papers produced by Viktória Fodor. 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 Viktória Fodor. The network helps show where Viktória Fodor may publish in the future.
Co-authorship network of co-authors of Viktória Fodor
This figure shows the co-authorship network connecting the top 25 collaborators of Viktória Fodor. A scholar is included among the top collaborators of Viktória Fodor 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 Viktória Fodor. Viktória Fodor 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 | 12 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 29 | |
| 6 | 21 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 18 | |
| 12 | 19 | |
| 13 | 16 | |
| 14 | 16 | |
| 15 | Energy efficient spectrum sensing and handoff strategies in cognitive radio networks | 2 |
| 16 | 20 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 1 |
About Viktória Fodor
Viktória Fodor is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 71 papers that have together received 648 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (12 papers), Wireless Networks and Protocols (11 papers) and Caching and Content Delivery (11 papers). The work is most often cited by research in Computer Networks and Communications (486 citations), Computer Vision and Pattern Recognition (118 citations) and Electrical and Electronic Engineering (320 citations). Viktória Fodor has collaborated with scholars based in Sweden, Italy and United States. Frequent co-authors include György Dán, Carlo Fischione, Ming Zeng, Gunnar Karlsson, Loreto Pescosolido, Chiara Petrioli, Liping Wang, Qing He, Rolf Stadler and Rafael Pasquini. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.
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.