Csaba Nagy
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 1%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
- Software 29
- Software Reliability and Analysis Research 17
- Software Testing and Debugging Techniques 15
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- Software Engineering Research 39
- Software Engineering Techniques and Practices 11
- Co-authors
- Michele Lanza (22 shared papers)Gabriele Bavota (10 shared papers)Anthony Cleve (14 shared papers)Tibor Gyimóthy (10 shared papers)Rudolf Ferenć (11 shared papers)Emad Aghajani (3 shared papers)Mario Linares‐Vásquez (2 shared papers)Laura Moreno (2 shared papers)
- Journals
- Empirical Software Engineering (2 papers)Journal of Systems and Software (1 paper)Information Systems (1 paper)Lecture notes in computer science (5 papers)Acta Cybernetica (1 paper)
- Partner nations
- SwitzerlandHungaryBelgium
In The Last Decade
Csaba Nagy
46 papers receiving 725 citations
Peers
Comparison fields: 5 of 41
- Software 284
- Information Systems 640
- Computer Science Applications 72
- Computer Networks and Communications 258
- Signal Processing 83
Countries citing papers authored by Csaba Nagy
This map shows the geographic impact of Csaba Nagy'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 Csaba Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Nagy more than expected).
Fields of papers citing papers by Csaba Nagy
This network shows the impact of papers produced by Csaba Nagy. 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 Csaba Nagy. The network helps show where Csaba Nagy may publish in the future.
Co-authors
The 24 scholars most cited alongside Csaba Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 121 | |
| 2 | 2019 | 76 | |
| 3 | 2020 | 72 | |
| 4 | 2015 | 34 | |
| 5 | 2016 | 33 | |
| 6 | 2020 | 32 | |
| 7 | 2014 | 30 | |
| 8 | 2016 | 25 | |
| 9 | 2017 | 20 | |
| 10 | 2016 | 20 | |
| 11 | 2018 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2015 | 17 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2019 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2011 | 13 | |
| 20 | 2019 | 12 |
About Csaba Nagy
Csaba Nagy is a scholar working on Software, Information Systems, Computer Networks and Communications, Signal Processing and Computer Science Applications, having authored 49 papers that have together received 749 indexed citations. Recurring topics across this work include Software Engineering Research (39 papers), Software Reliability and Analysis Research (17 papers), Software Testing and Debugging Techniques (15 papers), Software System Performance and Reliability (13 papers), Software Engineering Techniques and Practices (11 papers), Advanced Software Engineering Methodologies (9 papers), Advanced Malware Detection Techniques (7 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Software (284 citations), Information Systems (640 citations), Computer Science Applications (72 citations), Computer Networks and Communications (258 citations) and Signal Processing (83 citations). Csaba Nagy has collaborated with scholars based in Switzerland, Hungary and Belgium. Frequent co-authors include Michele Lanza, Gabriele Bavota, Anthony Cleve, Tibor Gyimóthy, Rudolf Ferenć, Emad Aghajani, Mario Linares‐Vásquez, Laura Moreno, Roberto Minelli and David C. Shepherd. Their work appears in journals such as Empirical Software Engineering, Journal of Systems and Software, Information Systems, Lecture notes in computer science and Acta Cybernetica.
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.