Ingo Frommholz
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Management Science and Operations Research
- Co-authors
- Mounia LalmasBenjamin PiwowarskiKeith van RijsbergenPhilipp MayrGuillaume CabanacHaider Al‐KhateebNorbert FuhrDietmar Wolfram
- Topics
- Semantic Web and Ontologies (13 papers)Information Retrieval and Search Behavior (10 papers)Topic Modeling (8 papers)
- Partner nations
- United KingdomGermanyFrance
In The Last Decade
Ingo Frommholz
49 papers receiving 289 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 189
- Information Systems 114
- Computer Vision and Pattern Recognition 43
- Sociology and Political Science 30
- Management Science and Operations Research 26
Countries citing papers authored by Ingo Frommholz
This map shows the geographic impact of Ingo Frommholz'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 Ingo Frommholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Frommholz more than expected).
Fields of papers citing papers by Ingo Frommholz
This network shows the impact of papers produced by Ingo Frommholz. 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 Ingo Frommholz. The network helps show where Ingo Frommholz may publish in the future.
Co-authorship network of co-authors of Ingo Frommholz
This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Frommholz. A scholar is included among the top collaborators of Ingo Frommholz 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 Ingo Frommholz. Ingo Frommholz 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 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Quantum-like Generalization of Complex Word Embedding: A Lightweight Approach for Textual Classification. | 4 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | A machine learning framework to detect and document text-based cyberstalking | 5 |
| 12 | 8 | |
| 13 | 2 | |
| 14 | How quantum theory is developing the field of Information Retrieval | 8 |
| 15 | Towards a geometrical model for polyrepresentation of information objects | 2 |
| 16 | Multi-facet classification of e-mails in a helpdesk scenario | 1 |
| 17 | Determining the polarity of postings for discussion search | 3 |
| 18 | Research and Advanced Technology for Digital Libraries | 9 |
| 19 | Applying the Annotation View on Messages for Discussion Search. | 3 |
| 20 | Categorizing Web Documents in Hierarchical Catalogues | 7 |
About Ingo Frommholz
Ingo Frommholz is a scholar working on Information Systems, Artificial Intelligence and Health Informatics, having authored 57 papers that have together received 308 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Information Retrieval and Search Behavior (10 papers) and Topic Modeling (8 papers). The work is most often cited by research in Artificial Intelligence (189 citations), Information Systems (114 citations) and Information Systems and Management (16 citations). Ingo Frommholz has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Mounia Lalmas, Benjamin Piwowarski, Keith van Rijsbergen, Philipp Mayr, Guillaume Cabanac, Haider Al‐Khateeb, Norbert Fuhr, Dietmar Wolfram, Martin Potthast and Haiming Liu. Their work appears in journals such as Scientometrics, Electronics and Knowledge and Information Systems.
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.