Wessel Kraaij

6.7k citations
159 papers · 3.2k indexed · 1 hit paper · h-index 24

Wessel Kraaij

147 papers receiving 2.8k citations

Hit Papers

Evaluation campaigns and TRECVid8242006202620122019250500750

Peers

Wessel Kraaij
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 1.3k
  • Artificial Intelligence 1.4k
  • Signal Processing 441
  • Information Systems 736
  • Applied Psychology 90
Replace Pascale Fung with:
Pascale Fung Hong Kong
Ehud Reiter United Kingdom
Shafiq Joty Singapore
Myra Spiliopoulou Germany
David Gotz United States
Rajiv Ratn Shah India
Minlie Huang China
Benjamin M. Marlin United States
Michel Galley United States
Asif Ekbal India
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Citations per field
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Citations per year

Countries citing papers authored by Wessel Kraaij

Since Specialization
Citations

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

Fields of papers citing papers by Wessel Kraaij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wessel Kraaij, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wessel Kraaij Line = papers co-authored together Wessel Kraaij links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20238
3 20234
4 20236
5 20221
6 20223
7 20226
8 20229
9
FuzzyBIO: a proposal for fuzzy representation of discontinuous entities
20211
10 201910
11 20196
12
Narrative detection in online patient communities
20195
13
TRECVID 2018: Benchmarking Video Activity Detection, Video Captioning and Matching, Video Storytelling Linking and Video Search
201813
14 201839
15 20124
16
TNO and RUN at the TREC 2012 Contextual Suggestion Track : Recommending personalized touristic sights using Google Places
20121
17
Cross Language Information Retrieval for Biomedical Literature
20074
18
Automatic Summarization of Meeting Data: A Feasibility Study
200423
19
Twenty-One at TREC-8: using Language Technology for Information Retrieval
199929
20
Twenty-One at TREC-7: ad-hoc and cross-language track
1998103

About Wessel Kraaij

Wessel Kraaij is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 159 papers that have together received 3.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (33 papers), Topic Modeling (30 papers), Video Analysis and Summarization (30 papers), Web Data Mining and Analysis (23 papers), Advanced Text Analysis Techniques (20 papers), Semantic Web and Ontologies (19 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Biomedical Text Mining and Ontologies (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (1.4k citations) and Signal Processing (441 citations). Wessel Kraaij has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Paul Over, Alan F. Smeaton, Djoerd Hiemstra, Thijs Westerveld, Saskia Koldijk, Mark A. Neerincx, Suzan Verberne, Maya Sappelli, Dolf Trieschnigg and Franciska de Jong. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

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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