Tias Guns

1.6k total citations
56 papers, 610 citations indexed

About

Tias Guns is a scholar working on Computer Networks and Communications, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Tias Guns has authored 56 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 21 papers in Information Systems and 18 papers in Computational Theory and Mathematics. Recurrent topics in Tias Guns's work include Constraint Satisfaction and Optimization (20 papers), Data Mining Algorithms and Applications (20 papers) and Rough Sets and Fuzzy Logic (17 papers). Tias Guns is often cited by papers focused on Constraint Satisfaction and Optimization (20 papers), Data Mining Algorithms and Applications (20 papers) and Rough Sets and Fuzzy Logic (17 papers). Tias Guns collaborates with scholars based in Belgium, France and Austria. Tias Guns's co-authors include Siegfried Nijssen, Luc De Raedt, Wouter Verbeke, Cathy Macharis, Sara Verlinde, Anton Dries, Guido Tack, Kathleen Marchal, Stéphane Canu and Lieven Thorrez and has published in prestigious journals such as Nucleic Acids Research, European Journal of Operational Research and Journal of the Operational Research Society.

In The Last Decade

Tias Guns

48 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tias Guns Belgium 15 234 215 179 152 85 56 610
Silvia Chiusano Italy 17 237 1.0× 262 1.2× 132 0.7× 112 0.7× 86 1.0× 89 872
Marcus Poggi de Aragão Brazil 15 132 0.6× 276 1.3× 85 0.5× 145 1.0× 61 0.7× 19 1.1k
Diego Latella Italy 15 157 0.7× 381 1.8× 444 2.5× 217 1.4× 27 0.3× 74 924
Micael Gallego Spain 15 116 0.5× 184 0.9× 105 0.6× 217 1.4× 58 0.7× 52 789
Ouajdi Korbaa Tunisia 15 81 0.3× 215 1.0× 160 0.9× 187 1.2× 52 0.6× 119 788
Yuming Ou Australia 9 185 0.8× 351 1.6× 41 0.2× 68 0.4× 50 0.6× 32 564
Mohamed Nazih Omri Tunisia 15 337 1.4× 332 1.5× 34 0.2× 294 1.9× 65 0.8× 103 798
Viviana Mascardi Italy 15 211 0.9× 627 2.9× 125 0.7× 160 1.1× 23 0.3× 101 829
Marco Valtorta United States 13 80 0.3× 332 1.5× 62 0.3× 93 0.6× 61 0.7× 51 529
Marwan Hassani Netherlands 13 184 0.8× 278 1.3× 27 0.2× 104 0.7× 110 1.3× 54 523

Countries citing papers authored by Tias Guns

Since Specialization
Citations

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

Fields of papers citing papers by Tias Guns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tias Guns

This figure shows the co-authorship network connecting the top 25 collaborators of Tias Guns. A scholar is included among the top collaborators of Tias Guns 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 Tias Guns. Tias Guns 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.
Guns, Tias, et al.. (2024). Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. Journal of Artificial Intelligence Research. 80. 1623–1701. 28 indexed citations
2.
Guns, Tias, et al.. (2024). Perception-based constraint solving for sudoku images. Constraints. 29(1-2). 112–151.
3.
Molenbruch, Yves, et al.. (2024). Probability estimation and structured output prediction for learning preferences in last mile delivery. Computers & Industrial Engineering. 189. 109932–109932. 6 indexed citations
4.
Amini, Massih-Reza, Stéphane Canu, Asja Fischer, et al.. (2023). Machine Learning and Knowledge Discovery in Databases. Lecture notes in computer science. 4 indexed citations
5.
Guns, Tias, et al.. (2023). Learn and route: learning implicit preferences for vehicle routing. Constraints. 28(3). 363–396. 3 indexed citations
6.
Amini, Massih-Réza, Stéphane Canu, Asja Fischer, et al.. (2023). Machine Learning and Knowledge Discovery in Databases. Lecture notes in computer science. 15 indexed citations
7.
Amini, Massih-Réza, Stéphane Canu, Asja Fischer, et al.. (2023). Machine Learning and Knowledge Discovery in Databases. Lecture notes in computer science. 4 indexed citations
8.
Amini, Massih-Reza, Stéphane Canu, Asja Fischer, et al.. (2023). Machine Learning and Knowledge Discovery in Databases. Lecture notes in computer science. 2 indexed citations
9.
Guns, Tias, et al.. (2023). Sudoku Assistant – an AI-Powered App to Help Solve Pen-and-Paper Sudokus. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16440–16442. 1 indexed citations
10.
Amini, Massih-Réza, Stéphane Canu, Asja Fischer, et al.. (2023). Machine Learning and Knowledge Discovery in Databases. Lecture notes in computer science. 5 indexed citations
11.
Bogaerts, Bart, et al.. (2023). Efficiently Explaining CSPs with Unsatisfiable Subset Optimization. Journal of Artificial Intelligence Research. 78. 709–746. 2 indexed citations
12.
Molenbruch, Yves, et al.. (2023). Probability Estimation and Structured Output Prediction for Learning Preferences in Last Mile Delivery. SSRN Electronic Journal. 1 indexed citations
13.
Guns, Tias, et al.. (2020). Interior Point Solving for LP-based prediction+optimisation. Lirias (KU Leuven). 33. 7272–7282.
14.
Verlinde, Sara, et al.. (2018). Monitoring Urban-Freight Transport Based on GPS Trajectories of Heavy-Goods Vehicles. IEEE Transactions on Intelligent Transportation Systems. 20(10). 3747–3758. 37 indexed citations
15.
Guns, Tias, et al.. (2017). Mining Time-constrained Sequential Patterns with Constraint Programming. Constraints. 22(4). 548–570. 12 indexed citations
16.
Passerini, Andrea, Guido Tack, & Tias Guns. (2017). Introduction to the special issue on Combining Constraint Solving with Mining and Learning. Artificial Intelligence. 244. 1–5. 4 indexed citations
17.
Guns, Tias, et al.. (2016). On declarative modeling of structured pattern mining. Lirias (KU Leuven). 1 indexed citations
18.
Guns, Tias, Anton Dries, Siegfried Nijssen, Guido Tack, & Luc De Raedt. (2015). MiningZinc: A declarative framework for constraint-based mining. Artificial Intelligence. 244. 6–29. 14 indexed citations
19.
Guns, Tias, Anton Dries, Guido Tack, Siegfried Nijssen, & Luc De Raedt. (2013). MiningZinc: a modeling language for constraint-based mining. International Joint Conference on Artificial Intelligence. 63(12). 1365–1372. 9 indexed citations
20.
Guns, Tias, Siegfried Nijssen, & Luc De Raedt. (2011). Itemset mining: A constraint programming perspective. Artificial Intelligence. 175(12-13). 1951–1983. 65 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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