Dominik Sobania

695 total citations · 1 hit paper
20 papers, 308 citations indexed

About

Dominik Sobania is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Dominik Sobania has authored 20 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Dominik Sobania's work include Evolutionary Algorithms and Applications (16 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Software Engineering Research (8 papers). Dominik Sobania is often cited by papers focused on Evolutionary Algorithms and Applications (16 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Software Engineering Research (8 papers). Dominik Sobania collaborates with scholars based in Germany, United States and United Kingdom. Dominik Sobania's co-authors include Martin Briesch, Carol Hanna, Justyna Petke, Franz Rothlauf, Thomas Helmuth, Lee Spector, Alexander Lalejini, Harald Köstler, Una-May O’Reilly and Federica Sarro and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, International Journal of Medical Informatics and Evolutionary Computation.

In The Last Decade

Dominik Sobania

17 papers receiving 308 citations

Hit Papers

An Analysis of the Automatic Bug Fixing Performance of Ch... 2023 2026 2024 2025 2023 50 100 150
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. An Analysis of the Automatic Bug Fixing Performance of ChatGPT
    2023 178 citations Dominik Sobania, Martin Briesch et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominik Sobania Germany 6 159 113 76 62 31 20 308
Vahid Majdinasab Canada 4 90 0.6× 111 1.0× 67 0.9× 29 0.5× 35 1.1× 6 247
Arghavan Moradi Dakhel Canada 5 90 0.6× 139 1.2× 64 0.8× 29 0.5× 39 1.3× 6 265
Andrew Tran United States 7 182 1.1× 132 1.2× 55 0.7× 75 1.2× 255 8.2× 12 426
Daye Nam United States 7 105 0.7× 92 0.8× 44 0.6× 27 0.4× 49 1.6× 14 255
Seth Bernstein United States 5 128 0.8× 96 0.8× 42 0.6× 54 0.9× 171 5.5× 7 295
Ashwin Paranjape United States 4 195 1.2× 54 0.5× 16 0.2× 25 0.4× 7 0.2× 7 325
Mohammed Y. Shakor Iraq 6 149 0.9× 62 0.5× 16 0.2× 131 2.1× 61 2.0× 15 314
Shraddha Barke United States 4 80 0.5× 108 1.0× 59 0.8× 19 0.3× 54 1.7× 7 214
Hengyi Cai China 9 269 1.7× 66 0.6× 6 0.1× 37 0.6× 10 0.3× 16 401
Zhipeng Gao China 10 145 0.9× 208 1.8× 22 0.3× 7 0.1× 25 0.8× 35 304

Countries citing papers authored by Dominik Sobania

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Sobania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Sobania

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Sobania. A scholar is included among the top collaborators of Dominik Sobania 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 Dominik Sobania. Dominik Sobania 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.
Brownlee, Alexander E. I., et al.. (2025). Large language model based mutations in genetic improvement. Automated Software Engineering. 32(1). 15–15. 1 indexed citations
3.
Briesch, Martin, et al.. (2024). A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 487–490.
4.
Sobania, Dominik, Justyna Petke, Martin Briesch, & Franz Rothlauf. (2024). A Comparison of Large Language Models and Genetic Programming for Program Synthesis. IEEE Transactions on Evolutionary Computation. 29(4). 1434–1448.
5.
Briesch, Martin, Dominik Sobania, Alexander Lalejini, et al.. (2024). Informed Down-Sampled Lexicase Selection: Identifying Productive Training Cases for Efficient Problem Solving. Evolutionary Computation. 32(4). 307–337. 2 indexed citations
6.
Sobania, Dominik, et al.. (2024). On relevant features for the recurrence prediction of urothelial carcinoma of the bladder. International Journal of Medical Informatics. 186. 105414–105414. 5 indexed citations
7.
Briesch, Martin, Dominik Sobania, & Franz Rothlauf. (2023). On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis. 535–538. 1 indexed citations
8.
Briesch, Martin, et al.. (2023). The Problem Solving Benefits of Down-sampling Vary by Selection Scheme. 527–530. 3 indexed citations
9.
Sobania, Dominik, et al.. (2023). Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems. Proceedings of the Genetic and Evolutionary Computation Conference. 1109–1117. 2 indexed citations
10.
Sobania, Dominik, Martin Briesch, Carol Hanna, & Justyna Petke. (2023). An Analysis of the Automatic Bug Fixing Performance of ChatGPT. 23–30. 178 indexed citations breakdown →
11.
Sobania, Dominik, et al.. (2022). A Comprehensive Survey on Program Synthesis With Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 27(1). 82–97. 33 indexed citations
12.
Sobania, Dominik, Martin Briesch, & Franz Rothlauf. (2022). Choose your programming copilot. Proceedings of the Genetic and Evolutionary Computation Conference. 1019–1027. 56 indexed citations
13.
Sobania, Dominik, et al.. (2022). Analyzing optimized constants in genetic programming on a real-world regression problem. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 606–607. 1 indexed citations
14.
Sobania, Dominik, et al.. (2022). Program synthesis with evolutionary algorithms: Status quo. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 39–40. 3 indexed citations
15.
16.
Sobania, Dominik, et al.. (2021). Genetic programming for iterative numerical methods. Genetic Programming and Evolvable Machines. 23(2). 253–278. 1 indexed citations
17.
Sobania, Dominik, et al.. (2021). Improving estimation of distribution genetic programming with novelty initialization. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 261–262. 2 indexed citations
18.
Hemberg, Erik, et al.. (2021). Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 331–332. 1 indexed citations
19.
Sobania, Dominik & Franz Rothlauf. (2021). A generalizability measure for program synthesis with genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference. 822–829. 8 indexed citations
20.
Sobania, Dominik & Franz Rothlauf. (2019). Teaching GP to program like a human software developer. Proceedings of the Genetic and Evolutionary Computation Conference. 1065–1074. 8 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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