Csaba Nagy
- Software top 2%
- Software Reliability and Analysis Research 14
- Software Testing and Debugging Techniques 14
- Information Systems top 1%
- Software Engineering Research 34
- Software Engineering Techniques and Practices 9
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- Software System Performance and Reliability 10
- Signal Processing top 10%
- Advanced Malware Detection Techniques 8
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- Advanced Software Engineering Methodologies 9
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- Data Visualization and Analytics 4
- Co-authors
- Michele LanzaGabriele BavotaAnthony CleveRudolf FerenćEmad AghajaniTibor GyimóthyMario Linares‐VásquezLaura Moreno
- Journals
- Empirical Software Engineering (2 papers)Information Systems (1 paper)Journal of Systems and Software (1 paper)
- Partner nations
- SwitzerlandHungaryBelgium
In The Last Decade
Csaba Nagy
39 papers receiving 544 citations
Peers
Comparison fields: 5 of 40
- Software 226
- Information Systems 491
- Computer Science Applications 61
- Computer Networks and Communications 193
- Signal Processing 69
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 0 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 24 | |
| 14 | 2019 | 13 | |
| 15 | Static Code Smell Detection in SQL Queries Embedded in Java Code | 2017 | 1 |
| 16 | 2016 | 15 | |
| 17 | 2016 | 29 | |
| 18 | 2013 | 6 | |
| 19 | 2011 | 10 | |
| 20 | 2010 | 6 |
About Csaba Nagy
Csaba Nagy is a scholar working on Software, Information Systems and Signal Processing, having authored 43 papers that have together received 570 indexed citations. Recurring topics across this work include Software Engineering Research (34 papers), Software Reliability and Analysis Research (14 papers), Software Testing and Debugging Techniques (14 papers), Software System Performance and Reliability (10 papers), Advanced Software Engineering Methodologies (9 papers), Software Engineering Techniques and Practices (9 papers), Advanced Malware Detection Techniques (8 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Software (226 citations), Information Systems (491 citations) and Computer Science Applications (61 citations). Csaba Nagy has collaborated with scholars based in Switzerland, Hungary and Belgium. Frequent co-authors include Michele Lanza, Gabriele Bavota, Anthony Cleve, Rudolf Ferenć, Emad Aghajani, Tibor Gyimóthy, Mario Linares‐Vásquez, Laura Moreno, Roberto Minelli and Bin Lin. Their work appears in journals such as Empirical Software Engineering, Information Systems, Journal of Systems and Software, Acta Cybernetica and Repository of the University of Namur.
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.