Paul Buitelaar

151 papers receiving 1.5k citations

Peers

Paul Buitelaar
Comparison fields: 5 of 89
  • Artificial Intelligence 1.6k
  • Information Systems 400
  • Molecular Biology 372
  • Language and Linguistics 139
  • Management Science and Operations Research 109
Replace Bernardo Magnini with:
Bernardo Magnini Italy
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Bill MacCartney United States
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Aitor Soroa Spain
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Massimiliano Ciaramita United States
Jennifer Chu‐Carroll United States
Suresh Manandhar United Kingdom
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Paul Buitelaar relative to Bernardo Magnini Italy Bernardo Magnini's profile →
Citations per field
00.5×1.5×2.1×
Bernardo Magnini · 1×
Citations per year

Countries citing papers authored by Paul Buitelaar

Since Specialization
Citations

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

Fields of papers citing papers by Paul Buitelaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Buitelaar

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Buitelaar. A scholar is included among the top collaborators of Paul Buitelaar 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 Paul Buitelaar. Paul Buitelaar 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
1 0
2 2
3 7
4 2
5 1
6 32
7
Translating Domain-Specific Expressions in Knowledge Bases with Neural Machine Translation.
3
8 22
9
Multidisciplinary information retrieval : 7th Information Retrieval Facility Conference, IRFC 2014, Copenhagen, Denmark, November 10-12, 2014 : proceedings
0
10
Query Expansion Using Wikipedia and Dbpedia.
11
11
Semi-Supervised Technical Term Tagging With Minimal User Feedback
1
12
Expertise Mining for Enterprise Content Management
5
13
Towards Cross-Media Feature Extraction.
0
14
Domain-Specific English-To-Spanish Translation of FrameNet.
5
15
Ontology Search with the OntoSelect Ontology Library
0
16
Proceedings of the 2nd Workshop on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
13
17
Ontology-based Information Extraction with SOBA
33
18
MuchMore: Concept-Based Cross Lingual Information Retrieval in the Medical Domain.
1
19
Towards Ontology Engineering Based on Linguistic Analysis
7
20
Evaluation Corpora for Sense Disambiguation in the Medical Domain
8

About Paul Buitelaar

Paul Buitelaar is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics, having authored 163 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (100 papers), Topic Modeling (79 papers) and Semantic Web and Ontologies (70 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Information Systems (400 citations) and Language and Linguistics (139 citations). Paul Buitelaar has collaborated with scholars based in Ireland, Germany and Spain. Frequent co-authors include Philipp Cimiano, Bernardo Magnini, Georgeta Bordea, John P. McCrae, Mihael Arčan, Els Lefever, Elena Montiel-Ponsoda, Asuncíon Gómez-Pérez, Špela Vintar and Stefania Racioppa. Their work appears in journals such as Blood, International Journal of Human-Computer Studies and International Journal of Medical Informatics.

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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