Anselm Blocher
- Artificial Intelligence top 10%
- Human-Computer Interaction top 10%
- Social Psychology
- Computer Vision and Pattern Recognition
- Signal Processing
- Co-authors
- Norbert ReithingerWolfgang WahlsterChristian KrayJörg SchirraPeter PollerTilman BeckerJochen MüllerJan Alexandersson
- Topics
- Speech and dialogue systems (7 papers)Natural Language Processing Techniques (5 papers)Constraint Satisfaction and Optimization (3 papers)
- Journals
- International Joint Conference on Artificial IntelligenceCogPrints (University of Southampton)Künstliche Intell.
- Partner nations
- GermanyUnited States
In The Last Decade
Anselm Blocher
9 papers receiving 117 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 124
- Human-Computer Interaction 31
- Social Psychology 28
- Computer Vision and Pattern Recognition 25
- Signal Processing 22
Countries citing papers authored by Anselm Blocher
This map shows the geographic impact of Anselm Blocher'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 Anselm Blocher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anselm Blocher more than expected).
Fields of papers citing papers by Anselm Blocher
This network shows the impact of papers produced by Anselm Blocher. 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 Anselm Blocher. The network helps show where Anselm Blocher may publish in the future.
Co-authorship network of co-authors of Anselm Blocher
This figure shows the co-authorship network connecting the top 25 collaborators of Anselm Blocher. A scholar is included among the top collaborators of Anselm Blocher 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 Anselm Blocher. Anselm Blocher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Fachforum Autonome Systeme : Chancen und Risiken für Wirtschaft, Wissenschaft und Gesellschaft : Abschlussbericht - Kurzversion | 1 |
| 2 | SmartWeb - Mobile Broadband Access to the Semantic Web. | 3 |
| 3 | 30 | |
| 4 | 1 | |
| 5 | SmartKom: Towards Multimodal Dialogues with Anthropomorphic Interface Agents | 14 |
| 6 | 78 | |
| 7 | Modeling the Basic Meanings of Path Relations | 15 |
| 8 | Time-dependent generation of minimal sets of spatial descriptions | 8 |
| 9 | 9 | |
| 10 | 3 | |
| 11 | Optional deep case filling and focus control with mental images: ANTLIMA-KOREF | 8 |
About Anselm Blocher
Anselm Blocher is a scholar working on Geography, Planning and Development, Artificial Intelligence and Computer Networks and Communications, having authored 11 papers that have together received 170 indexed citations. Recurring topics across this work include Speech and dialogue systems (7 papers), Natural Language Processing Techniques (5 papers) and Constraint Satisfaction and Optimization (3 papers). The work is most often cited by research in Human-Computer Interaction (31 citations), Artificial Intelligence (124 citations) and Geography, Planning and Development (18 citations). Anselm Blocher has collaborated with scholars based in Germany and United States. Frequent co-authors include Norbert Reithinger, Wolfgang Wahlster, Christian Kray, Jörg Schirra, Peter Poller, Tilman Becker, Jochen Müller, Jan Alexandersson, Ralf Engel and Norbert Pfleger. Their work appears in journals such as International Joint Conference on Artificial Intelligence, CogPrints (University of Southampton) and Künstliche Intell..
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.