Dennis Diefenbach
- Artificial Intelligence top 10%
- Information Systems
- Management Science and Operations Research
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Kamal SinghVanessa LópezPierre MaretAndreas BothRicardo UsbeckAxel-Cyrille Ngonga NgomoStefan FeuerriegelBernhard Kratzwald
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (5 papers)Semantic Web and Ontologies (3 papers)
- Journals
- Knowledge and Information SystemsJournal of Reliable Intelligent EnvironmentsRepository for Publications and Research Data (ETH Zurich)
In The Last Decade
Dennis Diefenbach
6 papers receiving 188 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 181
- Information Systems 31
- Management Science and Operations Research 19
- Computer Vision and Pattern Recognition 16
- Computer Networks and Communications 5
Countries citing papers authored by Dennis Diefenbach
This map shows the geographic impact of Dennis Diefenbach'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 Dennis Diefenbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Diefenbach more than expected).
Fields of papers citing papers by Dennis Diefenbach
This network shows the impact of papers produced by Dennis Diefenbach. 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 Dennis Diefenbach. The network helps show where Dennis Diefenbach may publish in the future.
Co-authorship network of co-authors of Dennis Diefenbach
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Diefenbach. A scholar is included among the top collaborators of Dennis Diefenbach 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 Dennis Diefenbach. Dennis Diefenbach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 161 | |
| 8 | Computing the Semantic Relatedness of Music Genre using Semantic Web Data. | 0 |
About Dennis Diefenbach
Dennis Diefenbach is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 8 papers that have together received 194 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (181 citations), Management Science and Operations Research (19 citations) and Information Systems (31 citations). Dennis Diefenbach has collaborated with scholars based in France, Germany and Ireland. Frequent co-authors include Kamal Singh, Vanessa López, Pierre Maret, Andreas Both, Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo, Stefan Feuerriegel, Bernhard Kratzwald, Kōichi Shimoda and Yoshito Tobe. Their work appears in journals such as Knowledge and Information Systems, Journal of Reliable Intelligent Environments and Repository for Publications and Research Data (ETH Zurich).
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.