Ubbo Visser
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Molecular Biology
- Signal Processing top 5%
- Co-authors
- Thomas VögeleHeiner StuckenschmidtSebastian HübnerHolger WacheHans‐Martin NeumannSaminda AbeyruwanStephan C. SchürerVance Lemmon
- Topics
- Semantic Web and Ontologies (13 papers)Biomedical Text Mining and Ontologies (10 papers)Data Management and Algorithms (8 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Ubbo Visser
43 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 781
- Information Systems 435
- Computer Networks and Communications 299
- Molecular Biology 248
- Signal Processing 193
Countries citing papers authored by Ubbo Visser
This map shows the geographic impact of Ubbo Visser'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 Ubbo Visser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ubbo Visser more than expected).
Fields of papers citing papers by Ubbo Visser
This network shows the impact of papers produced by Ubbo Visser. 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 Ubbo Visser. The network helps show where Ubbo Visser may publish in the future.
Co-authorship network of co-authors of Ubbo Visser
This figure shows the co-authorship network connecting the top 25 collaborators of Ubbo Visser. A scholar is included among the top collaborators of Ubbo Visser 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 Ubbo Visser. Ubbo Visser 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 | 1 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 56 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 87 | |
| 13 | Temporal Representation and Reasoning for the Semantic Web | 1 |
| 14 | Intelligent Information Integration For The Semantic Web (Lecture Notes in Computer Science) | 9 |
| 15 | Egocentric Qualitative Spatial Knowledge Representation for Physical Robots | 1 |
| 16 | Terminology Integration for the Management of distributed Information Resources. | 10 |
| 17 | Ontology Construction - An Iterative and Dynamic Task | 2 |
| 18 | Ontology-Based Integration of Information — A Survey of Existing Approachesbreakdown → | 662 |
| 19 | Spatial Reasoning for Information Brokering | 2 |
| 20 | 5 |
About Ubbo Visser
Ubbo Visser is a scholar working on Signal Processing, Artificial Intelligence and Applied Psychology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Biomedical Text Mining and Ontologies (10 papers) and Data Management and Algorithms (8 papers). The work is most often cited by research in Geography, Planning and Development (142 citations), Artificial Intelligence (781 citations) and Information Systems (435 citations). Ubbo Visser has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Thomas Vögele, Heiner Stuckenschmidt, Sebastian Hübner, Holger Wache, Hans‐Martin Neumann, Saminda Abeyruwan, Stephan C. Schürer, Vance Lemmon, Uma D. Vempati and Robin P. Smith. Their work appears in journals such as PLoS ONE, BMC Bioinformatics and Experimental Neurology.
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.