Victor de Boer
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research
- Signal Processing
- Co-authors
- Bob WielingaGuus SchreiberPeter BloemJan WielemakerMichiel HildebrandJacco van OssenbruggenLora AroyoBorys Omelayenko
- Topics
- Semantic Web and Ontologies (27 papers)Natural Language Processing Techniques (9 papers)ICT in Developing Communities (7 papers)
- Partner nations
- NetherlandsGermanyAustria
In The Last Decade
Victor de Boer
55 papers receiving 289 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 206
- Information Systems 123
- Computer Vision and Pattern Recognition 62
- Management Science and Operations Research 38
- Signal Processing 35
Countries citing papers authored by Victor de Boer
This map shows the geographic impact of Victor de Boer'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 Victor de Boer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor de Boer more than expected).
Fields of papers citing papers by Victor de Boer
This network shows the impact of papers produced by Victor de Boer. 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 Victor de Boer. The network helps show where Victor de Boer may publish in the future.
Co-authorship network of co-authors of Victor de Boer
This figure shows the co-authorship network connecting the top 25 collaborators of Victor de Boer. A scholar is included among the top collaborators of Victor de Boer 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 Victor de Boer. Victor de Boer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | Proceedings of the 14th International Conference on Semantic Systems, SEMANTICS 2018, Vienna, Austria, September 10-13, 2018 | 0 |
| 11 | 1 | |
| 12 | BiographyNet: Extracting Relations between People and Events | 7 |
| 13 | 35 | |
| 14 | User-Driven Pattern Mining on knowledge graphs: an Archaeological Case Study | 1 |
| 15 | From Knowledge Engineering for Development to Development Informatics | 1 |
| 16 | 20 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | Extracting Instances of Relations from Web Documents using Redundancy | 9 |
| 20 | Extracting Art Style Periods from the Web | 1 |
About Victor de Boer
Victor de Boer is a scholar working on Artificial Intelligence, Information Systems and Conservation, having authored 60 papers that have together received 337 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (27 papers), Natural Language Processing Techniques (9 papers) and ICT in Developing Communities (7 papers). The work is most often cited by research in Artificial Intelligence (206 citations), Information Systems (123 citations) and Conservation (14 citations). Victor de Boer has collaborated with scholars based in Netherlands, Germany and Austria. Frequent co-authors include Bob Wielinga, Guus Schreiber, Peter Bloem, Jan Wielemaker, Michiel Hildebrand, Jacco van Ossenbruggen, Lora Aroyo, Borys Omelayenko, Anna Tordai and Alia Amin. Their work appears in journals such as Sensors, International Journal of Human-Computer Studies and IEEE Internet Computing.
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.