István Siket

1.2k total citations · 1 hit paper
23 papers, 866 citations indexed

About

István Siket is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, István Siket has authored 23 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 16 papers in Software and 6 papers in Computer Networks and Communications. Recurrent topics in István Siket's work include Software Engineering Research (19 papers), Software Reliability and Analysis Research (13 papers) and Software Testing and Debugging Techniques (12 papers). István Siket is often cited by papers focused on Software Engineering Research (19 papers), Software Reliability and Analysis Research (13 papers) and Software Testing and Debugging Techniques (12 papers). István Siket collaborates with scholars based in Hungary and Switzerland. István Siket's co-authors include Rudolf Ferenć, Tibor Gyimóthy, Péter Hegedűs, Árpád Beszédes, László Vidács, Ákos Kiss, Róbert Rajkó, John R. Taylor, Peter Sommerlad and Kai Koskimies and has published in prestigious journals such as IEEE Access, IEEE Transactions on Software Engineering and Heliyon.

In The Last Decade

István Siket

22 papers receiving 794 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
István Siket Hungary 8 821 650 216 141 81 23 866
Taweesup Apiwattanapong United States 12 745 0.9× 753 1.2× 289 1.3× 163 1.2× 27 0.3× 16 902
Jooyong Yi Singapore 9 632 0.8× 732 1.1× 136 0.6× 119 0.8× 56 0.7× 26 882
Michael Würsch Switzerland 8 737 0.9× 436 0.7× 254 1.2× 249 1.8× 76 0.9× 15 779
Roberta Coelho Brazil 11 431 0.5× 296 0.5× 186 0.9× 219 1.6× 26 0.3× 41 536
Hakim Lounis Canada 13 813 1.0× 563 0.9× 214 1.0× 313 2.2× 43 0.5× 43 874
Niclas Ohlsson Sweden 8 883 1.1× 797 1.2× 297 1.4× 149 1.1× 43 0.5× 9 958
Pamela Bhattacharya United States 11 670 0.8× 357 0.5× 232 1.1× 121 0.9× 125 1.5× 16 718
Yiling Lou China 14 486 0.6× 446 0.7× 207 1.0× 137 1.0× 16 0.2× 29 696
B. Laguë Canada 11 565 0.7× 427 0.7× 122 0.6× 162 1.1× 33 0.4× 19 641
Jurgen Vinju Netherlands 16 506 0.6× 472 0.7× 172 0.8× 495 3.5× 28 0.3× 59 810

Countries citing papers authored by István Siket

Since Specialization
Citations

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

Fields of papers citing papers by István Siket

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of István Siket

This figure shows the co-authorship network connecting the top 25 collaborators of István Siket. A scholar is included among the top collaborators of István Siket 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 István Siket. István Siket 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.
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
2.
Siket, István, et al.. (2024). Methodology for Code Synthesis Evaluation of LLMs Presented by a Case Study of ChatGPT and Copilot. IEEE Access. 12. 72303–72316. 8 indexed citations
3.
Siket, István, et al.. (2022). Static Call Graph Combination to Simulate Dynamic Call Graph Behavior. IEEE Access. 10. 131829–131840. 1 indexed citations
4.
Ferenć, Rudolf, et al.. (2020). A public unified bug dataset for java and its assessment regarding metrics and bug prediction. Software Quality Journal. 28(4). 1447–1506. 25 indexed citations
5.
Siket, István, et al.. (2019). Systematic Comparison of Six Open-source Java Call Graph Construction Tools. SZTE Publicatio Repozitórium (University of Szeged). 117–128. 7 indexed citations
6.
Ferenć, Rudolf, et al.. (2018). Prediction models for performance, power, and energy efficiency of software executed on heterogeneous hardware. The Journal of Supercomputing. 75(8). 4001–4025. 5 indexed citations
7.
Siket, István, et al.. (2016). Transforming C++11 Code to C++03 to Support Legacy Compilation Environments. SZTE Publicatio Repozitórium (University of Szeged). 1. 177–186. 3 indexed citations
8.
Siket, István, et al.. (2016). Enforcing Techniques and Transformation of C/C++ Source Code to Heterogeneous Hardware. 1173–1180. 1 indexed citations
9.
10.
Ferenć, Rudolf, et al.. (2015). Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware. 2015 IEEE Trustcom/BigDataSE/ISPA. 178–183. 2 indexed citations
11.
Siket, István, Árpád Beszédes, & John R. Taylor. (2014). Differences in the Definition and Calculation of the LOC Metric in Free Tools. 1 indexed citations
12.
Hegedűs, Péter, et al.. (2014). Qualitygate SourceAudit: A tool for assessing the technical quality of software. 60. 440–445. 15 indexed citations
13.
Ferenć, Rudolf, et al.. (2014). Source Meter Sonar Qube Plug-in. 77–82. 14 indexed citations
14.
Vidács, László, et al.. (2014). Test suite reduction for fault detection and localization: A combined approach. SZTE Publicatio Repozitórium (University of Szeged). 204–213. 17 indexed citations
15.
Siket, István, et al.. (2013). Code clones: good, bad, or ugly?. Nordic journal of computing. 15(1). 3–17. 1 indexed citations
16.
Ferenć, Rudolf, et al.. (2013). Using Version Control History to Follow the Changes of Source Code Elements. SZTE Publicatio Repozitórium (University of Szeged). 30. 319–322. 5 indexed citations
17.
18.
Siket, István & Tibor Gyimóthy. (2010). The software developers' view on product metrics - A survey-based experiment. 37(1). 225–240.
19.
Siket, István. (2008). Evaluating the effectiveness of object-oriented metrics for bug prediction. 52(3-4). 177–177. 1 indexed citations
20.
Gyimóthy, Tibor, Rudolf Ferenć, & István Siket. (2005). Empirical validation of object-oriented metrics on open source software for fault prediction. IEEE Transactions on Software Engineering. 31(10). 897–910. 663 indexed citations breakdown →

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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