Steven Schockaert

153 papers receiving 1.3k citations

Peers

Steven Schockaert
Comparison fields: 5 of 96
  • Artificial Intelligence 869
  • Signal Processing 317
  • Geography, Planning and Development 222
  • Computer Networks and Communications 201
  • Computer Vision and Pattern Recognition 182
Replace Enrico Nardelli with:
Enrico Nardelli Italy
Danny Holten Netherlands
M. Andrea Rodríguez Chile
Florian Mansmann Germany
Martin Erwig United States
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Citations per field
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Citations per year

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
#WorkIndexed citations
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Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings
2
6
Learning Household Task Knowledge from WikiHow Descriptions.
4
7
Unsupervised learning of distributional relation vectors
13
8
From knowledge graph embedding to ontology embedding? An analysis of the compatibility between vector space representations and rules
5
9
From Knowledge Graph Embedding to Ontology Embedding: Region Based Representations of Relational Structures.
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10
Encoding large RCC8 scenarios using rectangular pseudo-solutions
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Qualitative reasoning about directions in semantic spaces
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12
Fuzzy answer set programming with literal preferences
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Acquiring Vague Temporal Information from the Web
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Evolutionary Strategies for Expressive Spatial Reasoning
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Reflections on modelling vagueness in description logics
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Towards Fuzzy Spatial Reasoning in Geographic IR Systems
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Supporting temporal question answering: Strategies for offline data collection
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Extracting, representing, and grounding events for temporal question answering
1

About Steven Schockaert

Steven Schockaert is a scholar working on Geography, Planning and Development, Artificial Intelligence and Signal Processing, having authored 161 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (55 papers), Logic, Reasoning, and Knowledge (42 papers) and Natural Language Processing Techniques (35 papers). The work is most often cited by research in Geography, Planning and Development (222 citations), Signal Processing (317 citations) and Artificial Intelligence (869 citations). Steven Schockaert has collaborated with scholars based in United Kingdom, Belgium and France. Frequent 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. Their work appears in journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Artificial Intelligence.

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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