Göran Pohl
Impact in
- Architecture top 5%
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Text Readability and Simplification
Papers in ⓘ
-
- Physics and Engineering Research Articles 1
-
- Diatoms and Algae Research 1
- Co-authors
- Balázs Kis (1 shared paper)John Nerbonne (1 shared paper)Werner Nachtigall (2 shared papers)
- Journals
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- Germany
In The Last Decade
Göran Pohl
4 papers receiving 433 citations
Peers
Comparison fields: 5 of 89
- Architecture 19
- Artificial Intelligence 296
- Language and Linguistics 32
- Human-Computer Interaction 17
- Experimental and Cognitive Psychology 39
Countries citing papers authored by Göran Pohl
This map shows the geographic impact of Göran Pohl'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 Göran Pohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Göran Pohl more than expected).
Fields of papers citing papers by Göran Pohl
This network shows the impact of papers produced by Göran Pohl. 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 Göran Pohl. The network helps show where Göran Pohl may publish in the future.
Co-authors
The 3 scholars most cited alongside Göran Pohl, 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 | Proceedings of the 4th International Conference on Language Resources and Evaluation | 2004 | 391 |
| 2 | 2015 | 42 | |
| 3 | 2013 | 12 | |
| 4 | 2011 | 1 |
About Göran Pohl
Göran Pohl is a scholar working on Computational Mechanics, Biomaterials, Artificial Intelligence, Architecture and Philosophy, having authored 4 papers that have together received 446 indexed citations. Recurring topics across this work include Physics and Engineering Research Articles (1 paper), Diatoms and Algae Research (1 paper), Architecture and Computational Design (1 paper), Natural Language Processing Techniques (1 paper), Technology, Environment, Urban Planning (1 paper) and Environmental Science and Technology (1 paper). The work is most often cited by research in Architecture (19 citations), Artificial Intelligence (296 citations), Language and Linguistics (32 citations), Human-Computer Interaction (17 citations) and Experimental and Cognitive Psychology (39 citations). Göran Pohl has collaborated with scholars based in Germany. Frequent co-authors include Balázs Kis, John Nerbonne and Werner Nachtigall. Their work appears in journals such as Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)), CERN Document Server (European Organization for Nuclear Research) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.