Gábor Szárnyas
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Software top 10%
- Co-authors
- Dániel VarróIstván RáthPeter BonczMuhammad SaleemSyed BukhariAxel-Cyrille Ngonga NgomoQaiser MehmoodArnau Prat-Pèrez
- Topics
- Graph Theory and Algorithms (10 papers)Advanced Database Systems and Queries (9 papers)Data Management and Algorithms (6 papers)
- Journals
- Proceedings of the VLDB EndowmentSoftware & Systems ModelingPeriodica Polytechnica Electrical Engineering and Computer Science
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Gábor Szárnyas
19 papers receiving 152 citations
Peers
Comparison fields: 5 of 21
- Computer Networks and Communications 91
- Artificial Intelligence 76
- Computer Vision and Pattern Recognition 68
- Information Systems 48
- Software 44
Countries citing papers authored by Gábor Szárnyas
This map shows the geographic impact of Gábor Szárnyas'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 Szárnyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Szárnyas more than expected).
Fields of papers citing papers by Gábor Szárnyas
This network shows the impact of papers produced by Gábor Szárnyas. 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 Szárnyas. The network helps show where Gábor Szárnyas may publish in the future.
Co-authorship network of co-authors of Gábor Szárnyas
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Szárnyas. A scholar is included among the top collaborators of Gábor Szárnyas 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 Szárnyas. Gábor Szárnyas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 21 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | Query, analysis, and benchmarking techniques for evolving property graphs of software systems | 1 |
| 9 | 21 | |
| 10 | 14 | |
| 11 | 35 | |
| 12 | 2 | |
| 13 | Proceedings of the 23rd PhD Mini-Symposium | 2 |
| 14 | 16 | |
| 15 | Class Responsiblity Assignment Case: a Viatra-DSE Solution. | 2 |
| 16 | The TTC 2015 Train Benchmark Case for Incremental Model Validation | 3 |
| 17 | Optimization of Incremental Queries in the Cloud | 1 |
| 18 | Movie Database Case: An EMF-IncQuery Solution. | 1 |
| 19 | MONDO-SAM: A framework to systematically assess MDE scalability | 4 |
| 20 | 8 |
About Gábor Szárnyas
Gábor Szárnyas is a scholar working on Software, Signal Processing and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 164 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (10 papers), Advanced Database Systems and Queries (9 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Software (44 citations), Computer Networks and Communications (91 citations) and Computer Vision and Pattern Recognition (68 citations). Gábor Szárnyas has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Dániel Varró, István Ráth, Peter Boncz, Muhammad Saleem, Syed Bukhari, Axel-Cyrille Ngonga Ngomo, Qaiser Mehmood, Arnau Prat-Pèrez, Yuchen Zhang and Mingxi Wu. Their work appears in journals such as Proceedings of the VLDB Endowment, Software & Systems Modeling and Periodica Polytechnica Electrical Engineering and Computer Science.
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.