Ben De Meester
Impact in
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- Scientific Computing and Data Management
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
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- Semantic Web and Ontologies 39
- Natural Language Processing Techniques 9
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- Service-Oriented Architecture and Web Services 14
- Co-authors
- Ruben Verborgh (39 shared papers)Anastasia Dimou (30 shared papers)Gerald Haesendonck (7 shared papers)Erik Mannens (25 shared papers)Miel Vander Sande (5 shared papers)Pieter Heyvaert (16 shared papers)Pieter Colpaert (5 shared papers)Laurens De Vocht (6 shared papers)
In The Last Decade
Ben De Meester
50 papers receiving 603 citations
Peers
Comparison fields: 5 of 59
- Information Systems and Management 115
- Artificial Intelligence 501
- Management Science and Operations Research 172
- Computer Networks and Communications 227
- Information Systems 208
Countries citing papers authored by Ben De Meester
This map shows the geographic impact of Ben De Meester'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 Ben De Meester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben De Meester more than expected).
Fields of papers citing papers by Ben De Meester
This network shows the impact of papers produced by Ben De Meester. 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 Ben De Meester. The network helps show where Ben De Meester may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben De Meester, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 168 | |
| 2 | 2014 | 92 | |
| 3 | 2018 | 53 | |
| 4 | 2017 | 33 | |
| 5 | 2016 | 31 | |
| 6 | 2022 | 28 | |
| 7 | 2019 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2014 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2022 | 9 | |
| 16 | What factors influence the design of a linked data generation algorithm | 2018 | 8 |
| 17 | 2017 | 8 | |
| 18 | Detailed Provenance Capture of Data Processing | 2017 | 7 |
| 19 | 2016 | 7 | |
| 20 | 2021 | 6 |
About Ben De Meester
Ben De Meester is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Information Systems and Management, having authored 53 papers that have together received 634 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (39 papers), Service-Oriented Architecture and Web Services (14 papers), Advanced Database Systems and Queries (12 papers), Data Quality and Management (10 papers), Natural Language Processing Techniques (9 papers), Scientific Computing and Data Management (9 papers), Biomedical Text Mining and Ontologies (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Information Systems and Management (115 citations), Artificial Intelligence (501 citations), Management Science and Operations Research (172 citations), Computer Networks and Communications (227 citations) and Information Systems (208 citations). Ben De Meester has collaborated with scholars based in Belgium, Canada and Germany. Frequent co-authors include Ruben Verborgh, Anastasia Dimou, Gerald Haesendonck, Erik Mannens, Miel Vander Sande, Pieter Heyvaert, Pieter Colpaert, Laurens De Vocht, Olaf Hartig and Joachim Van Herwegen. Their work appears in journals such as Semantic Web, Journal of Web Semantics, Lecture notes in computer science, Future Generation Computer Systems and Multimedia Tools and Applications.
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.