Koen Deschacht
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Signal Processing
- Sociology and Political Science
- Co-authors
- Marie‐Francine MoensE.F. Tjong Kim SangKatja HofmannPiek VossenMaarten de RijkeTinne TuytelaarsLuc Van Gool
- Topics
- Topic Modeling (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)Image Retrieval and Classification Techniques (5 papers)
- Journals
- Multimedia Tools and ApplicationsJournal of Visual Communication and Image RepresentationComputer Speech & Language
- Partner nations
- BelgiumNetherlandsSpain
In The Last Decade
Koen Deschacht
13 papers receiving 285 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 239
- Computer Vision and Pattern Recognition 96
- Information Systems 62
- Signal Processing 18
- Sociology and Political Science 17
Countries citing papers authored by Koen Deschacht
This map shows the geographic impact of Koen Deschacht'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 Koen Deschacht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koen Deschacht more than expected).
Fields of papers citing papers by Koen Deschacht
This network shows the impact of papers produced by Koen Deschacht. 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 Koen Deschacht. The network helps show where Koen Deschacht may publish in the future.
Co-authorship network of co-authors of Koen Deschacht
This figure shows the co-authorship network connecting the top 25 collaborators of Koen Deschacht. A scholar is included among the top collaborators of Koen Deschacht 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 Koen Deschacht. Koen Deschacht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 27 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 48 | |
| 6 | Language independent content extraction from web pages | 13 |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | Automatic Sentiment Analysis in On-line Text | 101 |
| 11 | Text Analysis for Automatic Image Annotation | 52 |
| 12 | The Cornetto Database: Architecture and User-Scenarios | 21 |
| 13 | Efficient Hierarchical Entity Classifier Using Conditional Random Fields | 7 |
About Koen Deschacht
Koen Deschacht is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 13 papers that have together received 316 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (239 citations), Computer Vision and Pattern Recognition (96 citations) and Information Systems (62 citations). Koen Deschacht has collaborated with scholars based in Belgium, Netherlands and Spain. Frequent co-authors include Marie‐Francine Moens, E.F. Tjong Kim Sang, Katja Hofmann, Piek Vossen, Maarten de Rijke, Tinne Tuytelaars and Luc Van Gool. Their work appears in journals such as Multimedia Tools and Applications, Journal of Visual Communication and Image Representation and Computer Speech & Language.
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.