Rudolf Ferenć

3.9k total citations · 1 hit paper
93 papers, 2.5k citations indexed

About

Rudolf Ferenć is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Rudolf Ferenć has authored 93 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Information Systems, 64 papers in Software and 28 papers in Computer Networks and Communications. Recurrent topics in Rudolf Ferenć's work include Software Engineering Research (75 papers), Software Reliability and Analysis Research (49 papers) and Software Testing and Debugging Techniques (32 papers). Rudolf Ferenć is often cited by papers focused on Software Engineering Research (75 papers), Software Reliability and Analysis Research (49 papers) and Software Testing and Debugging Techniques (32 papers). Rudolf Ferenć collaborates with scholars based in Hungary, Finland and United States. Rudolf Ferenć's co-authors include Tibor Gyimóthy, István Siket, Denys Poshyvanyk, Andrian Marcus, Árpád Beszédes, Péter Hegedűs, Mikko Tarkiainen, Csaba Nagy, László Vidács and Lívia Fülöp and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.

In The Last Decade

Rudolf Ferenć

88 papers receiving 2.3k citations

Hit Papers

Empirical validation of object-oriented metrics on open s... 2005 2026 2012 2019 2005 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Empirical validation of object-oriented metrics on open source software for fault prediction
    2005 663 citations Tibor Gyimóthy, Rudolf Ferenć et al. IEEE Transactions on Software Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rudolf Ferenć Hungary 25 2.3k 1.6k 703 696 276 93 2.5k
Tibor Gyimóthy Hungary 29 2.4k 1.1× 2.1k 1.3× 753 1.1× 603 0.9× 379 1.4× 133 2.9k
Hoan Anh Nguyen United States 29 2.4k 1.1× 1.3k 0.8× 842 1.2× 684 1.0× 662 2.4× 76 2.6k
Mark Grechanik United States 22 1.4k 0.6× 799 0.5× 538 0.8× 460 0.7× 270 1.0× 66 1.7k
Nikolaos Tsantalis Canada 27 2.4k 1.0× 1.5k 0.9× 709 1.0× 670 1.0× 422 1.5× 61 2.6k
Spiros Mancoridis United States 23 2.1k 0.9× 976 0.6× 985 1.4× 1.3k 1.8× 332 1.2× 83 2.5k
Katsuro Inoue Japan 27 2.2k 1.0× 1.1k 0.7× 577 0.8× 504 0.7× 521 1.9× 156 2.4k
Malcom Gethers United States 21 1.8k 0.8× 910 0.6× 553 0.8× 508 0.7× 188 0.7× 31 1.9k
Sunghun Kim United States 23 2.4k 1.1× 1.9k 1.1× 777 1.1× 352 0.5× 388 1.4× 43 2.6k
David Hovemeyer United States 17 1.4k 0.6× 1.2k 0.7× 405 0.6× 531 0.8× 336 1.2× 34 2.0k
Martin Monperrus Sweden 19 1.4k 0.6× 1.4k 0.8× 412 0.6× 357 0.5× 336 1.2× 73 1.9k

Countries citing papers authored by Rudolf Ferenć

Since Specialization
Citations

This map shows the geographic impact of Rudolf Ferenć'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 Rudolf Ferenć with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolf Ferenć more than expected).

Fields of papers citing papers by Rudolf Ferenć

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rudolf Ferenć. 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 Rudolf Ferenć. The network helps show where Rudolf Ferenć may publish in the future.

Co-authorship network of co-authors of Rudolf Ferenć

This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Ferenć. A scholar is included among the top collaborators of Rudolf Ferenć 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 Rudolf Ferenć. Rudolf Ferenć 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.
Hegedűs, Péter, et al.. (2024). Reality Check: Assessing GPT-4 in Fixing Real-World Software Vulnerabilities. 252–261. 2 indexed citations
2.
Hegedűs, Péter, et al.. (2024). PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs. IEEE Access. 12. 123739–123756.
3.
Rajkó, Róbert, István Siket, Péter Hegedűs, & Rudolf Ferenć. (2024). Development of partial least squares regression with discriminant analysis for software bug prediction. Heliyon. 10(15). e35045–e35045. 2 indexed citations
4.
Sabetta, Antonino, Serena Elisa Ponta, Michele Bezzi, et al.. (2024). Known Vulnerabilities of Open Source Projects: Where Are the Fixes?. IEEE Security & Privacy. 22(2). 49–59. 6 indexed citations
5.
6.
Hegedűs, Péter, et al.. (2023). Is JavaScript Call Graph Extraction Solved Yet? A Comparative Study of Static and Dynamic Tools. IEEE Access. 11. 25266–25284. 3 indexed citations
7.
Hegedűs, Péter, et al.. (2020). Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics. SHILAP Revista de lepidopterología. 9(1). 3–3. 9 indexed citations
8.
Ferenć, Rudolf, et al.. (2020). Deep learning in static, metric-based bug prediction. Array. 6. 100021–100021. 25 indexed citations
9.
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
10.
11.
Capilla, Rafael, et al.. (2011). A Retrospective View of Software Maintenance and Reengineering Research.. UPM Digital Archive (Technical University of Madrid). 1 indexed citations
12.
Nagy, Csaba, et al.. (2010). MAGISTER: Quality assurance of Magic applications for software developers and end users. 1. 1–6. 6 indexed citations
13.
Ferenć, Rudolf. (2009). 2009 13th European Conference on Software Maintenance and Reengineering - Csmr. IEEE Press eBooks. 13 indexed citations
14.
Beszédes, Árpád, et al.. (2008). Continuous software quality supervision using SourceInventory and Columbus. 931–932. 11 indexed citations
15.
Marcus, Andrian, Denys Poshyvanyk, & Rudolf Ferenć. (2008). Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems. IEEE Transactions on Software Engineering. 34(2). 287–300. 231 indexed citations
16.
Vidács, László, Martin Gogolla, & Rudolf Ferenć. (2006). From C++ Refactorings to Graph Transformations. SZTE Publicatio Repozitórium (University of Szeged). 3(5). 1, 34–6. 1 indexed citations
17.
Vidács, László, Árpád Beszédes, & Rudolf Ferenć. (2004). Columbus schema for C/C++ preprocessing. SZTE Publicatio Repozitórium (University of Szeged). 75–84. 23 indexed citations
18.
Ferenć, Rudolf, et al.. (2002). Recognizing design patterns in C++ programs with integration of Columbus and Maisa. Acta Cybernetica. 15(4). 669–682. 24 indexed citations
19.
Ferenć, Rudolf, et al.. (2001). Columbus -- Tool for Reverse Engineering Large Object Oriented Software Systems. 16 indexed citations
20.
Ferenć, Rudolf, et al.. (2001). A short introduction to Columbus/CAN. 5 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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