Csaba Nagy

1.0k total citations
43 papers, 570 citations indexed

About

Csaba Nagy is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Csaba Nagy has authored 43 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Information Systems, 25 papers in Software and 13 papers in Artificial Intelligence. Recurrent topics in Csaba Nagy's work include Software Engineering Research (34 papers), Software Reliability and Analysis Research (14 papers) and Software Testing and Debugging Techniques (14 papers). Csaba Nagy is often cited by papers focused on Software Engineering Research (34 papers), Software Reliability and Analysis Research (14 papers) and Software Testing and Debugging Techniques (14 papers). Csaba Nagy collaborates with scholars based in Switzerland, Hungary and Belgium. Csaba Nagy's co-authors include Michele Lanza, Gabriele Bavota, Anthony Cleve, Rudolf Ferenć, Emad Aghajani, Tibor Gyimóthy, Laura Moreno, Mario Linares‐Vásquez, Roberto Minelli and David Shepherd and has published in prestigious journals such as Journal of Systems and Software, Empirical Software Engineering and Information Systems.

In The Last Decade

Csaba Nagy

39 papers receiving 544 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Csaba Nagy Switzerland 14 491 226 193 148 69 43 570
Anthony Cleve Belgium 13 396 0.8× 123 0.5× 253 1.3× 209 1.4× 48 0.7× 62 504
Rabe Abdalkareem Canada 12 525 1.1× 192 0.8× 173 0.9× 154 1.0× 120 1.7× 31 655
Hazeline U. Asuncion United States 8 368 0.7× 139 0.6× 84 0.4× 135 0.9× 44 0.6× 25 456
Joel Ossher United States 14 555 1.1× 216 1.0× 269 1.4× 188 1.3× 162 2.3× 23 690
Michael Würsch Switzerland 8 737 1.5× 436 1.9× 254 1.3× 249 1.7× 92 1.3× 15 779
Lin Shi China 12 404 0.8× 247 1.1× 91 0.5× 151 1.0× 86 1.2× 42 517
André Hora Brazil 12 449 0.9× 159 0.7× 187 1.0× 152 1.0× 129 1.9× 49 508
Jesús Garćıa Molina Spain 15 367 0.7× 246 1.1× 188 1.0× 225 1.5× 34 0.5× 53 531
Daniel Lucrédio Brazil 13 416 0.8× 120 0.5× 129 0.7× 191 1.3× 28 0.4× 54 490
Toufique Ahmed United States 11 351 0.7× 154 0.7× 109 0.6× 264 1.8× 58 0.8× 25 524

Countries citing papers authored by Csaba Nagy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Csaba Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Nagy. A scholar is included among the top collaborators of Csaba Nagy 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 Csaba Nagy. Csaba Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Nagy, Csaba, et al.. (2024). SMEAGOL: A Static Code Smell Detector for MongoDB. Repository of the University of Namur. 816–820. 1 indexed citations
3.
4.
Nagy, Csaba, et al.. (2022). Using discord conversations as program comprehension aid. 597–601. 5 indexed citations
5.
Nagy, Csaba, et al.. (2022). Best practices of testing database manipulation code. Information Systems. 111. 102105–102105. 3 indexed citations
6.
Minelli, Roberto, et al.. (2021). Visualizing Discord Servers. 150–154. 5 indexed citations
7.
Aghajani, Emad, et al.. (2021). FeaRS: Recommending Complete Android Method Implementations. abs 1903 5734. 589–593.
8.
Nagy, Csaba, et al.. (2021). Quick remedy commits and their impact on mining software repositories. Empirical Software Engineering. 27(1). 14–14. 7 indexed citations
9.
Minelli, Roberto, et al.. (2021). Visualizing GitHub Issues. 155–159. 4 indexed citations
10.
Rahman, Mohammad Masudur, et al.. (2020). On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems. Repository of the University of Namur. 327–338. 24 indexed citations
11.
Nagy, Csaba, et al.. (2020). An Empirical Study of Quick Remedy Commits. 60–71. 10 indexed citations
12.
Lin, Bin, Csaba Nagy, Gabriele Bavota, Andrian Marcus, & Michele Lanza. (2019). On the Quality of Identifiers in Test Code. 204–215. 13 indexed citations
13.
Nagy, Csaba & Anthony Cleve. (2017). Static Code Smell Detection in SQL Queries Embedded in Java Code. Repository of the University of Namur. 1 indexed citations
14.
Nagy, Csaba, et al.. (2016). Detecting and Preventing Program Inconsistencies under Database Schema Evolution. Repository of the University of Namur. 15 indexed citations
15.
Nagy, Csaba, et al.. (2016). Empirical study on refactoring large-scale industrial systems and its effects on maintainability. Journal of Systems and Software. 129. 107–126. 29 indexed citations
16.
Nagy, Csaba, et al.. (2015). FaultBuster: An automatic code smell refactoring toolset. SZTE Publicatio Repozitórium (University of Szeged). 253–258. 33 indexed citations
17.
Nagy, Csaba, et al.. (2014). Bulk Fixing Coding Issues and Its Effects on Software Quality: Is It Worth Refactoring?. SZTE Publicatio Repozitórium (University of Szeged). 95–104. 27 indexed citations
18.
Nagy, Csaba. (2013). Static Analysis of Data-Intensive Applications. 16. 435–438. 6 indexed citations
19.
Nagy, Csaba, et al.. (2011). Solutions for Reverse Engineering 4GL Applications, Recovering the Design of a Logistical Wholesale System. SZTE Publicatio Repozitórium (University of Szeged). 1. 343–346. 10 indexed citations
20.
Nagy, Csaba, et al.. (2010). MAGISTER: Quality assurance of Magic applications for software developers and end users. 1. 1–6. 6 indexed citations

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.

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