Pierre Schaus

1.4k total citations
43 papers, 436 citations indexed

About

Pierre Schaus is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Pierre Schaus has authored 43 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 13 papers in Industrial and Manufacturing Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Pierre Schaus's work include Constraint Satisfaction and Optimization (18 papers), Vehicle Routing Optimization Methods (7 papers) and Data Management and Algorithms (7 papers). Pierre Schaus is often cited by papers focused on Constraint Satisfaction and Optimization (18 papers), Vehicle Routing Optimization Methods (7 papers) and Data Management and Algorithms (7 papers). Pierre Schaus collaborates with scholars based in Belgium, France and United States. Pierre Schaus's co-authors include Siegfried Nijssen, Olivier Bonaventure, Renaud Hartert, Clarence Filsfils, Pierre François, Stefano Vissicchio, Thomas Telkamp, Yves Deville, Fredérić Docquier and Christophe Lecoutre and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and BMC Bioinformatics.

In The Last Decade

Pierre Schaus

39 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Schaus Belgium 11 232 123 103 54 54 43 436
John Augustine India 13 285 1.2× 52 0.4× 37 0.4× 47 0.9× 44 0.8× 38 389
Tal Grinshpoun Israel 11 164 0.7× 85 0.7× 29 0.3× 32 0.6× 31 0.6× 47 337
Sanjai Narain United States 9 159 0.7× 122 1.0× 17 0.2× 87 1.6× 7 0.1× 39 277
Sherwin Doroudi United States 10 237 1.0× 37 0.3× 99 1.0× 128 2.4× 20 0.4× 26 404
Ravi Sundaram United States 8 190 0.8× 24 0.2× 54 0.5× 25 0.5× 21 0.4× 13 289
Philipp Reinecke United Kingdom 10 142 0.6× 56 0.5× 20 0.2× 107 2.0× 10 0.2× 32 252
Salvatore Tucci Italy 12 207 0.9× 21 0.2× 53 0.5× 54 1.0× 8 0.1× 28 301
Jan Kriege Germany 9 124 0.5× 21 0.2× 47 0.5× 24 0.4× 28 0.5× 29 295
Rein Türn United States 10 145 0.6× 144 1.2× 68 0.7× 75 1.4× 10 0.2× 49 357

Countries citing papers authored by Pierre Schaus

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Schaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Schaus

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Schaus. A scholar is included among the top collaborators of Pierre Schaus 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 Pierre Schaus. Pierre Schaus 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.
Docquier, Fredérić, et al.. (2022). Cross-border mobility responses to COVID-19 in Europe: new evidence from facebook data. Globalization and Health. 18(1). 41–41. 10 indexed citations
2.
Davidson, Ian, et al.. (2021). Generic Constraint-based Block Modeling using Constraint Programming. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
3.
Dellicour, Simon, Catherine Linard, Nina Van Goethem, et al.. (2021). Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case. International Journal of Health Geographics. 20(1). 29–29. 5 indexed citations
4.
Michel, Laurent, Pierre Schaus, & Pascal Van Hentenryck. (2021). MiniCP: a lightweight solver for constraint programming. Mathematical Programming Computation. 13(1). 133–184. 4 indexed citations
5.
Nijssen, Siegfried, et al.. (2020). Impact of Weather Factors on Migration Intention Using Machine Learning Algorithms. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
6.
Schaus, Pierre, et al.. (2020). An LSTM approach to Predict Migration based on Google Trends.. arXiv (Cornell University). 1 indexed citations
7.
Davidson, Ian, et al.. (2020). Constraint Programming for an Efficient and Flexible Block Modeling Solver. Proceedings of the AAAI Conference on Artificial Intelligence. 34(9). 13685–13688. 1 indexed citations
8.
Nijssen, Siegfried, et al.. (2020). Learning optimal decision trees using constraint programming. Constraints. 25(3-4). 226–250. 14 indexed citations
9.
Nijssen, Siegfried, et al.. (2020). PyDL8.5: a Library for Learning Optimal Decision Trees. 5222–5224. 10 indexed citations
10.
Nijssen, Siegfried, et al.. (2020). Learning Optimal Decision Trees Using Caching Branch-and-Bound Search. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3146–3153. 58 indexed citations
11.
Schaus, Pierre, et al.. (2019). CG4SR: Near Optimal Traffic Engineering for Segment Routing with Column Generation. 1333–1341. 30 indexed citations
12.
Schaus, Pierre, et al.. (2019). Identifying gene-specific subgroups: an alternative to biclustering. BMC Bioinformatics. 20(1). 625–625. 4 indexed citations
13.
Guns, Tias, et al.. (2017). Mining Time-constrained Sequential Patterns with Constraint Programming. Constraints. 22(4). 548–570. 12 indexed citations
14.
Lombardi, Michele, et al.. (2017). How efficient is a global constraint in practice?. Constraints. 23(1). 87–122. 2 indexed citations
15.
Régin, Jean-Charles, et al.. (2017). Improved filtering for the bin-packing with cardinality constraint. Constraints. 23(3). 251–271.
16.
Hartert, Renaud, Stefano Vissicchio, Pierre Schaus, et al.. (2015). A Declarative and Expressive Approach to Control Forwarding Paths in Carrier-Grade Networks. ACM SIGCOMM Computer Communication Review. 45(4). 15–28. 44 indexed citations
17.
Schaus, Pierre & Jean-Charles Régin. (2013). Bound-consistent spread constraint: Application to load balancing in nurse-to-patient assignments. SHILAP Revista de lepidopterología. 2(3). 123–146. 5 indexed citations
18.
Schaus, Pierre, et al.. (2010). Generic adaptive heuristics for large neighborhood search. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
19.
Schaus, Pierre, et al.. (2010). Solving Steel Mill Slab Problems with constraint-based techniques: CP, LNS, and CBLS. Constraints. 16(2). 125–147. 8 indexed citations
20.
Schaus, Pierre & Yves Deville. (2008). A global constraint for bin-packing with precedences: application to the assembly line balancing problem. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 369–374. 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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