Gabriel Kronberger

1.8k total citations
59 papers, 720 citations indexed

About

Gabriel Kronberger is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Gabriel Kronberger has authored 59 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 12 papers in Molecular Biology and 10 papers in Computational Theory and Mathematics. Recurrent topics in Gabriel Kronberger's work include Evolutionary Algorithms and Applications (38 papers), Metaheuristic Optimization Algorithms Research (28 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Gabriel Kronberger is often cited by papers focused on Evolutionary Algorithms and Applications (38 papers), Metaheuristic Optimization Algorithms Research (28 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Gabriel Kronberger collaborates with scholars based in Austria, Brazil and Spain. Gabriel Kronberger's co-authors include Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Stephan Winkler, Ştefan Wagner, Luca Manzoni, Mauro Castelli, Fabrício Olivetti de França, James McDermott and David R. White and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Astronomy and Astrophysics.

In The Last Decade

Gabriel Kronberger

54 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Kronberger Austria 13 441 124 93 63 60 59 720
Hamid Salimi Iran 7 325 0.7× 39 0.3× 169 1.8× 29 0.5× 108 1.8× 15 658
Michael Kommenda Austria 12 223 0.5× 69 0.6× 68 0.7× 71 1.1× 49 0.8× 41 455
Panagiotis D. Vouzis United States 9 79 0.2× 120 1.0× 96 1.0× 12 0.2× 71 1.2× 18 450
H. Ito Japan 10 56 0.1× 34 0.3× 39 0.4× 11 0.2× 57 0.9× 31 317
Bernd Dammann Denmark 8 24 0.1× 38 0.3× 53 0.6× 11 0.2× 20 0.3× 24 345
Yang Ning United States 14 164 0.4× 66 0.5× 17 0.2× 44 0.7× 10 0.2× 46 662
Ismaël Castillo France 14 190 0.4× 45 0.4× 24 0.3× 38 0.6× 28 0.5× 38 648

Countries citing papers authored by Gabriel Kronberger

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Kronberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Kronberger

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Kronberger. A scholar is included among the top collaborators of Gabriel Kronberger 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 Gabriel Kronberger. Gabriel Kronberger 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.
Kronberger, Gabriel, et al.. (2025). Comparison of semi-empirical models, symbolic regression, and machine learning approaches for prediction of tensile strength in steels. International Journal of Engineering Science. 212. 104247–104247. 1 indexed citations
2.
Bartlett, Deaglan J., Gabriel Kronberger, Harry Desmond, et al.. (2024). A precise symbolic emulator of the linear matter power spectrum. Astronomy and Astrophysics. 686. A209–A209. 8 indexed citations
3.
Kronberger, Gabriel & Fabrício Olivetti de França. (2024). Effects of reducing redundant parameters in parameter optimization for symbolic regression using genetic programming. Journal of Symbolic Computation. 129. 102413–102413. 1 indexed citations
4.
Ehrlinger, Lisa, et al.. (2024). Data Validation Utilizing Expert Knowledge and Shape Constraints. Journal of Data and Information Quality. 16(2). 1–27.
5.
Kronberger, Gabriel, Bogdan Burlacu, Michael Kommenda, Stephan Winkler, & Michael Affenzeller. (2024). Symbolic Regression. 14 indexed citations
6.
França, Fabrício Olivetti de, et al.. (2022). Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression. Proceedings of the Genetic and Evolutionary Computation Conference. 938–945. 1 indexed citations
7.
Kommenda, Michael, et al.. (2021). Application of symbolic regression for constitutive modeling of plastic deformation. SHILAP Revista de lepidopterología. 6. 100052–100052. 26 indexed citations
8.
Kronberger, Gabriel, et al.. (2021). Extending a physics-based constitutive model using genetic programming. SHILAP Revista de lepidopterología. 9. 100080–100080. 7 indexed citations
9.
Garnica, Óscar, et al.. (2020). Analysis of the performance of genetic programming on the blood glucose level prediction challenge 2020. 2675. 141–145. 7 indexed citations
10.
Burlacu, Bogdan, Gabriel Kronberger, Michael Kommenda, & Michael Affenzeller. (2019). Parsimony measures in multi-objective genetic programming for symbolic regression. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 338–339. 7 indexed citations
11.
Winkler, Stephan, et al.. (2016). Heterogeneous model ensembles for short-term prediction of stock market trends. International Journal of Simulation and Process Modelling. 11(6). 504–504. 2 indexed citations
12.
Beham, Andreas, et al.. (2014). Scripting and framework integration in heuristic optimization environments. 1109–1116. 2 indexed citations
13.
Kommenda, Michael, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, & Stephan Winkler. (2014). Genetic programming with data migration for symbolic regression. 1361–1366. 5 indexed citations
14.
Beham, Andreas, et al.. (2014). Integrated simulation and optimization in HeuristicLab. 418–423. 2 indexed citations
15.
Winkler, Stephan, Gabriel Kronberger, Michael Affenzeller, & Herbert Stekel. (2013). Variable Interaction Networks in Medical Data. 1(2). 1–16. 2 indexed citations
16.
Winkler, Stephan, Michael Affenzeller, Gabriel Kronberger, et al.. (2013). On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer. International Journal of Simulation and Process Modelling. 8(1). 29–29. 1 indexed citations
17.
Burlacu, Bogdan, Michael Affenzeller, Michael Kommenda, Stephan Winkler, & Gabriel Kronberger. (2013). Visualization of genetic lineages and inheritance information in genetic programming. 1351–1358. 13 indexed citations
18.
d’Aquin, Mathieu, Gabriel Kronberger, & Mari Carmen Suárez-Figueroa. (2012). Combining data mining and ontology engineering to enrich ontologies and linked data. 19–24. 10 indexed citations
19.
White, David R., James McDermott, Mauro Castelli, et al.. (2012). Better GP benchmarks: community survey results and proposals. Springer US. 6 indexed citations
20.
Beham, Andreas, Ştefan Wagner, & Gabriel Kronberger. (2008). Simulation optimization with heuristiclab. 75–80. 7 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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