Dag Hovland
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Management Science and Operations Research top 10%
- Signal Processing
- Co-authors
- Martin G. SkjævelandErnesto Jiménez-RuizMartin GieseAhmet SoyluEvgeny KharlamovDmitriy ZheleznyakovArild WaalerIan Horrocks
- Topics
- Semantic Web and Ontologies (9 papers)Service-Oriented Architecture and Web Services (6 papers)Advanced Database Systems and Queries (5 papers)
- Journals
- Theoretical Computer ScienceJournal of Computer and System SciencesJournal of Web Semantics
- Partner nations
- NorwayUnited KingdomGreece
In The Last Decade
Dag Hovland
13 papers receiving 167 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 135
- Information Systems 59
- Computer Networks and Communications 57
- Management Science and Operations Research 47
- Signal Processing 27
Countries citing papers authored by Dag Hovland
This map shows the geographic impact of Dag Hovland'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 Dag Hovland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dag Hovland more than expected).
Fields of papers citing papers by Dag Hovland
This network shows the impact of papers produced by Dag Hovland. 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 Dag Hovland. The network helps show where Dag Hovland may publish in the future.
Co-authorship network of co-authors of Dag Hovland
This figure shows the co-authorship network connecting the top 25 collaborators of Dag Hovland. A scholar is included among the top collaborators of Dag Hovland 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 Dag Hovland. Dag Hovland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 47 | |
| 4 | 5 | |
| 5 | 68 | |
| 6 | KeywDB: A System for Keyword−Driven Ontology−to−RDB Mapping Construction | 4 |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | Optique System: Towards Ontology and Mapping Management in OBDA Solutions | 14 |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 6 |
About Dag Hovland
Dag Hovland is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems, having authored 15 papers that have together received 177 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Service-Oriented Architecture and Web Services (6 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Artificial Intelligence (135 citations), Management Science and Operations Research (47 citations) and Software (10 citations). Dag Hovland has collaborated with scholars based in Norway, United Kingdom and Greece. Frequent co-authors include Martin G. Skjæveland, Ernesto Jiménez-Ruiz, Martin Giese, Ahmet Soylu, Evgeny Kharlamov, Dmitriy Zheleznyakov, Arild Waaler, Ian Horrocks, Davide Lanti and Yannis Kotidis. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Journal of Web Semantics.
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.