Gábor Soós
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Industrial and Manufacturing Engineering top 5%
- Control and Systems Engineering
- Co-authors
- Pál VargaDániel FiczereCsaba HegedűsDániel KozmaAttila FrankóLászló TokaDávid HajaDavid Balla
- Topics
- IoT and Edge/Fog Computing (10 papers)IoT Networks and Protocols (6 papers)Software-Defined Networks and 5G (5 papers)
- Cited by
- Computer Networks and CommunicationsIndustrial and Manufacturing EngineeringInformation Systems
- Journals
- SHILAP Revista de lepidopterologíaSensorsIEEE Internet of Things Journal
In The Last Decade
Gábor Soós
24 papers receiving 484 citations
Peers
Comparison fields: 5 of 54
- Computer Networks and Communications 286
- Electrical and Electronic Engineering 207
- Information Systems 106
- Industrial and Manufacturing Engineering 97
- Control and Systems Engineering 47
Countries citing papers authored by Gábor Soós
This map shows the geographic impact of Gábor Soós'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 Gábor Soós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Soós more than expected).
Fields of papers citing papers by Gábor Soós
This network shows the impact of papers produced by Gábor Soós. 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 Gábor Soós. The network helps show where Gábor Soós may publish in the future.
Co-authorship network of co-authors of Gábor Soós
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Soós. A scholar is included among the top collaborators of Gábor Soós 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 Gábor Soós. Gábor Soós 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 | 11 | |
| 3 | 3 | |
| 4 | Real-life V2X Measurement Results for 5G NSA Performance on a High-speed Motorway | 7 |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 38 | |
| 8 | 172 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 0 | |
| 16 | 11 | |
| 17 | 2 | |
| 18 | 85 | |
| 19 | 3 | |
| 20 | Neutral interest rate in Hungary | 1 |
About Gábor Soós
Gábor Soós is a scholar working on Computer Networks and Communications, Media Technology and Industrial and Manufacturing Engineering, having authored 27 papers that have together received 507 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), IoT Networks and Protocols (6 papers) and Software-Defined Networks and 5G (5 papers). The work is most often cited by research in Computer Networks and Communications (286 citations), Industrial and Manufacturing Engineering (97 citations) and Information Systems (106 citations). Gábor Soós has collaborated with scholars based in Hungary, Austria and Poland. Frequent co-authors include Pál Varga, Dániel Ficzere, Csaba Hegedűs, Dániel Kozma, Attila Frankó, László Toka, Dávid Haja, David Balla, Zsolt Szalay and Markosz Maliosz. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Internet of Things Journal.
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.