Arjohn Kampman
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Semantic Web and Ontologies 9
- Advanced Text Analysis Techniques 1
- Natural Language Processing Techniques 1
-
- Service-Oriented Architecture and Web Services 4
- Co-authors
- Jeen Broekstra (7 shared papers)Frank van Harmelen (6 shared papers)Christiaan Fluit (3 shared papers)Jos van der Meer (2 shared papers)Marta Sabou (1 shared paper)Anita de Waard (2 shared papers)Erik M. van Mulligen (2 shared papers)Heiner Stuckenschmidt (3 shared papers)
- Journals
- IEEE Intelligent Systems (1 paper)Data Archiving and Networked Services (DANS) (1 paper)VU Research Portal (1 paper)The MIT Press eBooks (1 paper)
- Partner nations
- Netherlands
In The Last Decade
Arjohn Kampman
9 papers receiving 195 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 205
- Signal Processing 53
- Computer Networks and Communications 103
- Information Systems 99
- Information Systems and Management 24
Countries citing papers authored by Arjohn Kampman
This map shows the geographic impact of Arjohn Kampman'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 Arjohn Kampman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjohn Kampman more than expected).
Fields of papers citing papers by Arjohn Kampman
This network shows the impact of papers produced by Arjohn Kampman. 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 Arjohn Kampman. The network helps show where Arjohn Kampman may publish in the future.
Co-authors
The 13 scholars most cited alongside Arjohn Kampman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 72 | |
| 2 | SeRQL: A Second Generation RDF Query Language | 2003 | 60 |
| 3 | 2002 | 43 | |
| 4 | 2004 | 38 | |
| 5 | SeRQL: An RDF Query and Transformation Language | 2004 | 22 |
| 6 | Inferencing and Truth Maintenance in RDF Schema. | 2003 | 8 |
| 7 | On-To-Knowledge in a Nutshell | 2002 | 4 |
| 8 | Knowledge-Based Meta-Data Validation: Analyzing a Web-Based Information System. | 2000 | 2 |
| 9 | The Drug Ontology Project for Elsevier - An RDF Architecture Enabling Thesaurus-Driven Data Integration. | 2004 | 1 |
About Arjohn Kampman
Arjohn Kampman is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Information Systems and Management and Molecular Biology, having authored 9 papers that have together received 250 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Service-Oriented Architecture and Web Services (4 papers), Scientific Computing and Data Management (3 papers), Advanced Database Systems and Queries (3 papers), Data Quality and Management (2 papers), Biomedical Text Mining and Ontologies (2 papers), Advanced Text Analysis Techniques (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (205 citations), Signal Processing (53 citations), Computer Networks and Communications (103 citations), Information Systems (99 citations) and Information Systems and Management (24 citations). Arjohn Kampman has collaborated with scholars based in Netherlands. Frequent co-authors include Jeen Broekstra, Frank van Harmelen, Christiaan Fluit, Jos van der Meer, Marta Sabou, Anita de Waard, Erik M. van Mulligen, Heiner Stuckenschmidt, Dieter Fensel and Thomas Vögele. Their work appears in journals such as IEEE Intelligent Systems, Data Archiving and Networked Services (DANS), VU Research Portal and The MIT Press eBooks.
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.