Stephan Bloehdorn
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Co-authors
- Alessandro MoschittiAndreas HothoSteffen StaabRoberto BasiliPhilipp CimianoIoannis KompatsiarisYannis AvrithisSiegfried Handschuh
- Topics
- Semantic Web and Ontologies (5 papers)Text and Document Classification Technologies (5 papers)Image Retrieval and Classification Techniques (4 papers)
- Journals
- Preventive Medicine ReportsIEE Proceedings - Vision Image and Signal ProcessingRepository KITopen (Karlsruhe Institute of Technology)
In The Last Decade
Stephan Bloehdorn
14 papers receiving 250 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 204
- Computer Vision and Pattern Recognition 84
- Information Systems 79
- Signal Processing 44
- Computer Networks and Communications 24
Countries citing papers authored by Stephan Bloehdorn
This map shows the geographic impact of Stephan Bloehdorn'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 Stephan Bloehdorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Bloehdorn more than expected).
Fields of papers citing papers by Stephan Bloehdorn
This network shows the impact of papers produced by Stephan Bloehdorn. 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 Stephan Bloehdorn. The network helps show where Stephan Bloehdorn may publish in the future.
Co-authorship network of co-authors of Stephan Bloehdorn
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Bloehdorn. A scholar is included among the top collaborators of Stephan Bloehdorn 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 Stephan Bloehdorn. Stephan Bloehdorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Expressive Resource Descriptions for Ontology-Based Information Retrieval | 13 |
| 3 | 41 | |
| 4 | Tagfs - tag semantics for hierarchical file systems | 20 |
| 5 | Clustering of Polysemic Words. | 1 |
| 6 | Learning Ontologies to Improve Text Clustering and Classification | 3 |
| 7 | 31 | |
| 8 | 51 | |
| 9 | 28 | |
| 10 | Intelligent Community Lifecycle Support | 1 |
| 11 | 45 | |
| 12 | D6.6.1 Report on the integration of ML, HLT and OM | 1 |
| 13 | Learning in Web Search | 1 |
| 14 | Boosting for Text Classification with Semantic Features | 4 |
| 15 | 42 |
About Stephan Bloehdorn
Stephan Bloehdorn is a scholar working on Artificial Intelligence, Signal Processing and Philosophy, having authored 15 papers that have together received 282 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Text and Document Classification Technologies (5 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (204 citations), Computer Vision and Pattern Recognition (84 citations) and Signal Processing (44 citations). Stephan Bloehdorn has collaborated with scholars based in Germany, Italy and Greece. Frequent co-authors include Alessandro Moschitti, Andreas Hotho, Steffen Staab, Roberto Basili, Philipp Cimiano, Ioannis Kompatsiaris, Yannis Avrithis, Siegfried Handschuh, Vassilis Tzouvaras and M.G. Strintzis. Their work appears in journals such as Preventive Medicine Reports, IEE Proceedings - Vision Image and Signal Processing and Repository KITopen (Karlsruhe Institute of Technology).
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.