Lorenz Bühmann
Impact in
- Artificial Intelligence top 2%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
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- Data Quality and Management
Papers in
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- Semantic Web and Ontologies 13
- Natural Language Processing Techniques 6
- Topic Modeling 5
- Data Stream Mining Techniques 1
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- Biomedical Text Mining and Ontologies 8
- Co-authors
- Jens Lehmann (12 shared papers)Axel-Cyrille Ngonga Ngomo (7 shared papers)Dániel Gerber (5 shared papers)Christina Unger (4 shared papers)Philipp Cimiano (1 shared paper)Sören Auer (2 shared papers)Patrick Westphal (4 shared papers)Sebastian Tramp (1 shared paper)
- Journals
- Journal of Web Semantics (4 papers)Semantic Web (1 paper)Knowledge-Based Systems (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)SSRN Electronic Journal (1 paper)
In The Last Decade
Lorenz Bühmann
15 papers receiving 550 citations
Lorenz Bühmann's Hit Papers
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 560
- Management Science and Operations Research 147
- Information Systems 136
- Signal Processing 41
- Computer Networks and Communications 52
Countries citing papers authored by Lorenz Bühmann
This map shows the geographic impact of Lorenz Bühmann'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 Lorenz Bühmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz Bühmann more than expected).
Fields of papers citing papers by Lorenz Bühmann
This network shows the impact of papers produced by Lorenz Bühmann. 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 Lorenz Bühmann. The network helps show where Lorenz Bühmann may publish in the future.
Co-authors
The 19 scholars most cited alongside Lorenz Bühmann, 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 | Template-based question answering over RDF data Hit paper breakdown → | 2012 | 269 |
| 2 | 2013 | 77 | |
| 3 | 2011 | 57 | |
| 4 | 2013 | 49 | |
| 5 | 2016 | 49 | |
| 6 | 2015 | 41 | |
| 7 | 2018 | 14 | |
| 8 | HAWK - Hybrid Question Answering over Linked Data | 2015 | 8 |
| 9 | 2018 | 8 | |
| 10 | 2013 | 8 | |
| 11 | 2015 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2022 | 2 | |
| 14 | 2020 | 2 | |
| 15 | Checking and repairing ontological naming patterns using ORE and PatOMat. | 2013 | 1 |
About Lorenz Bühmann
Lorenz Bühmann is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Management Science and Operations Research and Signal Processing, having authored 15 papers that have together received 596 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Biomedical Text Mining and Ontologies (8 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Service-Oriented Architecture and Web Services (3 papers), Data Quality and Management (3 papers), Data Stream Mining Techniques (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (560 citations), Management Science and Operations Research (147 citations), Information Systems (136 citations), Signal Processing (41 citations) and Computer Networks and Communications (52 citations). Lorenz Bühmann has collaborated with scholars based in Germany, Romania and Bolivia. Frequent co-authors include Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Dániel Gerber, Christina Unger, Philipp Cimiano, Sören Auer, Patrick Westphal, Sebastian Tramp, Dimitris Kontokostas and Mohamed Morsey. Their work appears in journals such as Journal of Web Semantics, Semantic Web, Knowledge-Based Systems, Zenodo (CERN European Organization for Nuclear Research) and SSRN Electronic Journal.
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.