Peter Geibel
Impact in
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Reinforcement Learning in Robotics
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Natural Language Processing Techniques
- Topic Modeling
- Text and Document Classification Technologies
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- Service-Oriented Architecture and Web Services
Papers in
-
- Semantic Web and Ontologies 6
- Text and Document Classification Technologies 4
- Imbalanced Data Classification Techniques 4
- Natural Language Processing Techniques 3
- Neural Networks and Applications 3
- Machine Learning and Data Classification 3
- Advanced Text Analysis Techniques 2
- Co-authors
- Fritz Wysotzki (9 shared papers)Konstantin Todorov (3 shared papers)Alexander Mehler (2 shared papers)Ulf Brefeld (1 shared paper)Brijnesh J. Jain (2 shared papers)Adrian Popescu (1 shared paper)Céline Hudelot (1 shared paper)Lothar Zimmermann (1 shared paper)
- Journals
- Neurocomputing (1 paper)Applied Intelligence (1 paper)International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (1 paper)Intelligent Data Analysis (2 papers)Studies in health technology and informatics (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Peter Geibel
20 papers receiving 127 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 119
- Information Systems 33
- Computational Theory and Mathematics 18
- Management Science and Operations Research 14
- Computer Vision and Pattern Recognition 23
Countries citing papers authored by Peter Geibel
This map shows the geographic impact of Peter Geibel'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 Peter Geibel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Geibel more than expected).
Fields of papers citing papers by Peter Geibel
This network shows the impact of papers produced by Peter Geibel. 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 Peter Geibel. The network helps show where Peter Geibel may publish in the future.
Co-authors
The 16 scholars most cited alongside Peter Geibel, 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 | Reinforcement Learning with Bounded Risk | 2001 | 26 |
| 2 | Learning Relational Concepts with Decision Trees. | 1996 | 15 |
| 3 | 2004 | 13 | |
| 4 | Structural classifiers of text types: Towards a novel model of text representation | 2007 | 12 |
| 5 | Perceptron based learning with example dependent and noisy costs | 2003 | 11 |
| 6 | 2014 | 11 | |
| 7 | 2014 | 11 | |
| 8 | 2005 | 9 | |
| 9 | 2007 | 7 | |
| 10 | Ontology mapping via structural and instance-based similarity measures | 2008 | 6 |
| 11 | 2004 | 6 | |
| 12 | Relational Learning with Decision Trees. | 1996 | 4 |
| 13 | Variable Selection as an Instance-Based Ontology Mapping Strategy. | 2009 | 3 |
| 14 | 2007 | 3 | |
| 15 | 2008 | 2 | |
| 16 | 2009 | 2 | |
| 17 | 2003 | 2 | |
| 18 | SVM learning with the SH inner product. | 2004 | 1 |
| 19 | 2016 | 1 | |
| 20 | Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture. | 2007 | 1 |
About Peter Geibel
Peter Geibel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Computational Theory and Mathematics, having authored 20 papers that have together received 146 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Text and Document Classification Technologies (4 papers), Imbalanced Data Classification Techniques (4 papers), Natural Language Processing Techniques (3 papers), Neural Networks and Applications (3 papers), Data Mining Algorithms and Applications (3 papers), Machine Learning and Data Classification (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (119 citations), Information Systems (33 citations), Computational Theory and Mathematics (18 citations), Management Science and Operations Research (14 citations) and Computer Vision and Pattern Recognition (23 citations). Peter Geibel has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Fritz Wysotzki, Konstantin Todorov, Alexander Mehler, Ulf Brefeld, Brijnesh J. Jain, Adrian Popescu, Céline Hudelot, Lothar Zimmermann, Christian H. Nolte and Hebun Erdur. Their work appears in journals such as Neurocomputing, Applied Intelligence, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Intelligent Data Analysis and Studies in health technology and informatics.
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.