Konrad Höffner
Impact in
-
- Geographic Information Systems Studies
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
Papers in
-
- Semantic Web and Ontologies 16
- Natural Language Processing Techniques 7
- Topic Modeling 6
- Advanced Graph Neural Networks 2
-
- Data Quality and Management 6
- Co-authors
- Jens Lehmann (14 shared papers)Sören Auer (6 shared papers)Claus Stadler (1 shared paper)Axel-Cyrille Ngonga Ngomo (8 shared papers)Ricardo Usbeck (4 shared papers)Edgard Marx (4 shared papers)Sebastian Walter (2 shared papers)Mohnish Dubey (1 shared paper)
- Journals
- Semantic Web (3 papers)Lecture notes in computer science (4 papers)JMIR Medical Informatics (1 paper)Studies in health technology and informatics (3 papers)Communications in computer and information science (2 papers)
In The Last Decade
Konrad Höffner
18 papers receiving 667 citations
Peers
Comparison fields: 5 of 59
- Geography, Planning and Development 132
- Artificial Intelligence 606
- Management Science and Operations Research 167
- Signal Processing 122
- Information Systems 160
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 23 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 | 268 | |
| 2 | 2016 | 148 | |
| 3 | 2016 | 70 | |
| 4 | RAVEN - active learning of link specifications | 2011 | 49 |
| 5 | 2014 | 41 | |
| 6 | 2012 | 34 | |
| 7 | 2015 | 30 | |
| 8 | 2016 | 25 | |
| 9 | 2013 | 19 | |
| 10 | 2014 | 13 | |
| 11 | 2016 | 5 | |
| 12 | Overcoming Challenges of Semantic Question Answering in the Semantic Web | 2015 | 5 |
| 13 | 2013 | 4 | |
| 14 | 2019 | 2 | |
| 15 | 2013 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 1 |
About Konrad Höffner
Konrad Höffner is a scholar working on Artificial Intelligence, Management Science and Operations Research, Signal Processing, Information Systems and Health Information Management, having authored 18 papers that have together received 718 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Data Quality and Management (6 papers), Biomedical Text Mining and Ontologies (5 papers), Data Management and Algorithms (2 papers), Advanced Graph Neural Networks (2 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Geography, Planning and Development (132 citations), Artificial Intelligence (606 citations), Management Science and Operations Research (167 citations), Signal Processing (122 citations) and Information Systems (160 citations). Konrad Höffner has collaborated with scholars based in Germany, Austria and India. Frequent co-authors include Jens Lehmann, Sören Auer, Claus Stadler, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Edgard Marx, Sebastian Walter, Mohnish Dubey, Ankit Sharma and Michael Martin. Their work appears in journals such as Semantic Web, Lecture notes in computer science, JMIR Medical Informatics, Studies in health technology and informatics and Communications in computer and information science.
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.