Konrad Höffner
Impact in
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- Geographic Information Systems Studies
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
Papers in ⓘ
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- Semantic Web and Ontologies 12
- Natural Language Processing Techniques 5
- Topic Modeling 4
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- Biomedical Text Mining and Ontologies 5
- Co-authors
- Jens Lehmann (8 shared papers)Sören Auer (4 shared papers)Claus Stadler (1 shared paper)Axel-Cyrille Ngonga Ngomo (4 shared papers)Edgard Marx (3 shared papers)Ricardo Usbeck (3 shared papers)Sebastian Walter (2 shared papers)Michael Martin (1 shared paper)
- Journals
- Semantic Web (3 papers)JMIR Medical Informatics (1 paper)Studies in health technology and informatics (4 papers)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
In The Last Decade
Konrad Höffner
12 papers receiving 366 citations
Peers
Comparison fields: 5 of 56
- Geography, Planning and Development 89
- Artificial Intelligence 326
- Signal Processing 88
- Management Science and Operations Research 78
- Information Systems 92
Countries citing papers authored by Konrad Höffner
This map shows the geographic impact of Konrad Höffner'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 Konrad Höffner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konrad Höffner more than expected).
Fields of papers citing papers by Konrad Höffner
This network shows the impact of papers produced by Konrad Höffner. 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 Konrad Höffner. The network helps show where Konrad Höffner may publish in the future.
Co-authors
The 14 scholars most cited alongside Konrad Höffner, 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 | 2012 | 201 | |
| 2 | 2016 | 97 | |
| 3 | RAVEN - active learning of link specifications | 2011 | 27 |
| 4 | 2014 | 21 | |
| 5 | 2015 | 18 | |
| 6 | 2013 | 16 | |
| 7 | 2014 | 8 | |
| 8 | 2017 | 2 | |
| 9 | Overcoming Challenges of Semantic Question Answering in the Semantic Web | 2015 | 2 |
| 10 | 2022 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2019 | 0 |
About Konrad Höffner
Konrad Höffner is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Signal Processing and Management Science and Operations Research, having authored 13 papers that have together received 395 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Natural Language Processing Techniques (5 papers), Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers), Data Management and Algorithms (2 papers), Data Quality and Management (2 papers), Research Data Management Practices (2 papers) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Geography, Planning and Development (89 citations), Artificial Intelligence (326 citations), Signal Processing (88 citations), Management Science and Operations Research (78 citations) and Information Systems (92 citations). Konrad Höffner has collaborated with scholars based in Germany and Austria. Frequent co-authors include Jens Lehmann, Sören Auer, Claus Stadler, Axel-Cyrille Ngonga Ngomo, Edgard Marx, Ricardo Usbeck, Sebastian Walter, Michael Martin, Saeedeh Shekarpour and Franziska Jahn. Their work appears in journals such as Semantic Web, JMIR Medical Informatics, Studies in health technology and informatics and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.