Chico Sundermann

441 total citations
30 papers, 233 citations indexed

About

Chico Sundermann is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Chico Sundermann has authored 30 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 23 papers in Information Systems and 13 papers in Software. Recurrent topics in Chico Sundermann's work include Advanced Software Engineering Methodologies (26 papers), Software Engineering Research (18 papers) and Model-Driven Software Engineering Techniques (10 papers). Chico Sundermann is often cited by papers focused on Advanced Software Engineering Methodologies (26 papers), Software Engineering Research (18 papers) and Model-Driven Software Engineering Techniques (10 papers). Chico Sundermann collaborates with scholars based in Germany, Austria and Spain. Chico Sundermann's co-authors include Thomas Thüm, Ina Schaefer, Rick Rabiser, Sebastian Krieter, José Á. Galindo, David Benavides, Gunter Saake, Jacopo Mauro, José-Miguel Horcas and Christoph Seidl and has published in prestigious journals such as Journal of Systems and Software, Empirical Software Engineering and ACM Transactions on Software Engineering and Methodology.

In The Last Decade

Chico Sundermann

27 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chico Sundermann Germany 10 202 173 88 86 20 30 233
Slawomir Duszynski Germany 6 244 1.2× 303 1.8× 83 0.9× 83 1.0× 5 0.3× 16 326
Philippe Lahire France 9 244 1.2× 239 1.4× 94 1.1× 102 1.2× 10 0.5× 25 293
Moisés Castelo Branco Canada 3 198 1.0× 168 1.0× 85 1.0× 61 0.7× 13 0.7× 4 228
Quentin Boucher Belgium 7 193 1.0× 174 1.0× 87 1.0× 53 0.6× 8 0.4× 9 214
Gary Chastek United States 6 166 0.8× 163 0.9× 46 0.5× 57 0.7× 10 0.5× 24 212
Martin Lippert Germany 7 202 1.0× 224 1.3× 86 1.0× 84 1.0× 10 0.5× 17 287
Jeho Oh United States 6 107 0.5× 120 0.7× 84 1.0× 75 0.9× 9 0.5× 7 176
Sascha Lity Germany 13 204 1.0× 141 0.8× 193 2.2× 52 0.6× 12 0.6× 20 296
Francisco Dantas Brazil 7 269 1.3× 296 1.7× 83 0.9× 105 1.2× 3 0.1× 18 325
Mariza A. S. Bigonha Brazil 8 97 0.5× 254 1.5× 159 1.8× 116 1.3× 4 0.2× 40 287

Countries citing papers authored by Chico Sundermann

Since Specialization
Citations

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

Fields of papers citing papers by Chico Sundermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chico Sundermann

This figure shows the co-authorship network connecting the top 25 collaborators of Chico Sundermann. A scholar is included among the top collaborators of Chico Sundermann 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 Chico Sundermann. Chico Sundermann 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.
Benavides, David, et al.. (2025). UVL: Feature modelling with the Universal Variability Language. Journal of Systems and Software. 225. 112326–112326. 5 indexed citations
2.
Sundermann, Chico, et al.. (2025). How Configurable Is the Linux Kernel? Analyzing Two Decades of Feature-Model History. ACM Transactions on Software Engineering and Methodology. 35(1). 1–48. 1 indexed citations
3.
Sundermann, Chico, et al.. (2024). Reusing d-DNNFs for Efficient Feature-Model Counting. ACM Transactions on Software Engineering and Methodology. 33(8). 1–32. 2 indexed citations
4.
Sundermann, Chico, et al.. (2024). Collecting Feature Models from the Literature: A Comprehensive Dataset for Benchmarking. 54–65. 4 indexed citations
5.
Sundermann, Chico, et al.. (2024). Generating Feature Models with UVL's Full Expressiveness. 61–65. 1 indexed citations
6.
Sundermann, Chico, et al.. (2024). On the Benefits of Knowledge Compilation for Feature-Model Analyses. 217–217. 1 indexed citations
7.
8.
Sundermann, Chico, et al.. (2024). Efficient Slicing of Feature Models via Projected d-DNNF Compilation. 1332–1344. 1 indexed citations
9.
Galindo, José Á., et al.. (2024). UVLHub: A feature model data repository using UVL and open science principles. Journal of Systems and Software. 216. 112150–112150. 8 indexed citations
10.
Sundermann, Chico, et al.. (2023). UVLS. 43–46. 6 indexed citations
11.
Sundermann, Chico, et al.. (2023). On the benefits of knowledge compilation for feature-model analyses. Annals of Mathematics and Artificial Intelligence. 92(5). 1013–1050. 7 indexed citations
12.
Sundermann, Chico, et al.. (2023). Evaluating state-of-the-art # SAT solvers on industrial configuration spaces. Empirical Software Engineering. 28(2). 19 indexed citations
13.
Galindo, José Á., et al.. (2023). Second Tutorial on the Universal Variability Language. 273–273.
14.
Sundermann, Chico, José Á. Galindo, David Benavides, et al.. (2022). Tutorial on the universal variability language. OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University). 260–260. 7 indexed citations
15.
Sundermann, Chico, et al.. (2022). Generic Solution-Space Sampling for Multi-domain Product Lines. 135–147. 3 indexed citations
16.
Sundermann, Chico, et al.. (2022). Quantifying the variability mismatch between problem and solution space. 322–333. 11 indexed citations
17.
Krieter, Sebastian, et al.. (2021). Incremental construction of modal implication graphs for evolving feature models. IT University Of Copenhagen (IT University of Copenhagen). 64–74. 6 indexed citations
18.
Sundermann, Chico, et al.. (2021). On the scalability of building binary decision diagrams for current feature models. 131–135. 14 indexed citations
19.
Sundermann, Chico, et al.. (2021). Applications of #SAT Solvers on Feature Models. 1–10. 18 indexed citations
20.
Sundermann, Chico, et al.. (2020). SMT-based variability analyses in FeatureIDE. University of Southern Denmark Research Portal (University of Southern Denmark). 1–9. 18 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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