Steven Schockaert

3.2k total citations
161 papers, 1.4k citations indexed

About

Steven Schockaert is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Steven Schockaert has authored 161 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Artificial Intelligence, 34 papers in Signal Processing and 28 papers in Computer Networks and Communications. Recurrent topics in Steven Schockaert's work include Topic Modeling (55 papers), Logic, Reasoning, and Knowledge (42 papers) and Natural Language Processing Techniques (35 papers). Steven Schockaert is often cited by papers focused on Topic Modeling (55 papers), Logic, Reasoning, and Knowledge (42 papers) and Natural Language Processing Techniques (35 papers). Steven Schockaert collaborates with scholars based in United Kingdom, Belgium and France. Steven Schockaert's co-authors include Martine De Cock, Luis Espinosa-Anke, Bart Dhoedt, Olivier Van Laere, Etienne E. Kerre, Shoaib Jameel, José Camacho-Collados, Zied Bouraoui, Dirk Vermeir and Chris Cornelis and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Artificial Intelligence.

In The Last Decade

Steven Schockaert

153 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Schockaert United Kingdom 20 869 317 222 201 182 161 1.4k
Yasuhiko Morimoto Japan 14 286 0.3× 324 1.0× 99 0.4× 119 0.6× 151 0.8× 122 818
Martin Erwig United States 22 628 0.7× 439 1.4× 194 0.9× 554 2.8× 180 1.0× 115 2.0k
M. Andrea Rodríguez Chile 14 672 0.8× 374 1.2× 290 1.3× 318 1.6× 120 0.7× 53 1.2k
Brandon Bennett United Kingdom 15 559 0.6× 389 1.2× 218 1.0× 480 2.4× 109 0.6× 53 989
Enrico Nardelli Italy 15 170 0.2× 512 1.6× 200 0.9× 532 2.6× 175 1.0× 87 1.1k
Nieves R. Brisaboa Spain 16 584 0.7× 289 0.9× 57 0.3× 360 1.8× 288 1.6× 102 1.1k
Johann Gamper Italy 19 436 0.5× 376 1.2× 30 0.1× 325 1.6× 198 1.1× 97 1.0k
Christos Doulkeridis Greece 18 554 0.6× 869 2.7× 185 0.8× 841 4.2× 324 1.8× 95 1.7k
Danny Holten Netherlands 13 395 0.5× 335 1.1× 91 0.4× 212 1.1× 1.3k 7.1× 20 1.7k
Michael H. Böhlen Italy 20 539 0.6× 1.1k 3.4× 248 1.1× 948 4.7× 193 1.1× 97 1.5k

Countries citing papers authored by Steven Schockaert

Since Specialization
Citations

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

Fields of papers citing papers by Steven Schockaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Schockaert

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Schockaert. A scholar is included among the top collaborators of Steven Schockaert 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 Steven Schockaert. Steven Schockaert 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
2.
Bouraoui, Zied, Antoine Cornuéjols, Thierry Denœux, et al.. (2024). Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. International Journal of Approximate Reasoning. 171. 109206–109206. 3 indexed citations
3.
Bouraoui, Zied, et al.. (2023). What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies. SPIRE - Sciences Po Institutional REpository. 10587–10596.
4.
Espinosa-Anke, Luis, Steven Schockaert, & Leo Wanner. (2019). Collocation Classification with Unsupervised Relation Vectors. ORCA Online Research @Cardiff (Cardiff University). 5765–5772. 6 indexed citations
5.
Camacho-Collados, José, et al.. (2019). Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings. arXiv (Cornell University). 2 indexed citations
6.
Zhou, Yilun, Julie Shah, & Steven Schockaert. (2019). Learning Household Task Knowledge from WikiHow Descriptions.. ORCA Online Research @Cardiff (Cardiff University). 50–56. 4 indexed citations
7.
Jameel, Shoaib, Zied Bouraoui, & Steven Schockaert. (2018). Unsupervised learning of distributional relation vectors. ORCA Online Research @Cardiff (Cardiff University). 13 indexed citations
8.
Schockaert, Steven, et al.. (2018). From knowledge graph embedding to ontology embedding? An analysis of the compatibility between vector space representations and rules. Principles of Knowledge Representation and Reasoning. 379–388. 5 indexed citations
9.
Gutiérrez-Basulto, Víctor & Steven Schockaert. (2018). From Knowledge Graph Embedding to Ontology Embedding: Region Based Representations of Relational Structures.. arXiv (Cornell University). 1 indexed citations
10.
Schockaert, Steven, et al.. (2016). Encoding large RCC8 scenarios using rectangular pseudo-solutions. ORCA Online Research @Cardiff (Cardiff University). 463–472. 1 indexed citations
11.
Schockaert, Steven & Jae Hee Lee. (2015). Qualitative reasoning about directions in semantic spaces. ORCA Online Research @Cardiff (Cardiff University). 3207–3213. 2 indexed citations
12.
Janssen, Jeroen, Steven Schockaert, Dirk Vermeir, & Martine De Cock. (2009). Fuzzy answer set programming with literal preferences. ORCA Online Research @Cardiff. 1347–1352. 1 indexed citations
13.
Schockaert, Steven, Martine De Cock, & Etienne Kerre. (2008). Acquiring Vague Temporal Information from the Web. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
14.
Schockaert, Steven, et al.. (2008). Evolutionary Strategies for Expressive Spatial Reasoning. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
15.
Schockaert, Steven, Martine De Cock, & Etienne E. Kerre. (2008). Modelling nearness and cardinal directions between fuzzy regions. ORCA Online Research @Cardiff. 1548–1555. 6 indexed citations
16.
Schockaert, Steven, et al.. (2006). Question answering with imperfect temporal information. UvA-DARE (University of Amsterdam). 4 indexed citations
17.
Schockaert, Steven, Patricia Victor, Geert‐Jan Houben, et al.. (2006). Reflections on modelling vagueness in description logics. Ghent University Academic Bibliography (Ghent University). 61–62. 1 indexed citations
18.
Schockaert, Steven, Martine De Cock, & Etienne E. Kerre. (2006). Towards Fuzzy Spatial Reasoning in Geographic IR Systems. Ghent University Academic Bibliography (Ghent University). 34–36. 6 indexed citations
19.
Ahn, David, Steven Schockaert, Martine De Cock, & Etienne Kerre. (2006). Supporting temporal question answering: Strategies for offline data collection. Ghent University Academic Bibliography (Ghent University). 10 indexed citations
20.
Schockaert, Steven, et al.. (2005). Extracting, representing, and grounding events for temporal question answering. Ghent University Academic Bibliography (Ghent University). 1 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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