Peter Prettenhofer
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Authorship Attribution and Profiling
- Domain Adaptation and Few-Shot Learning
- Advanced Text Analysis Techniques
- Safety Research top 10%
- Academic integrity and plagiarism
Papers in
-
- Topic Modeling 5
- Text and Document Classification Technologies 2
- Sentiment Analysis and Opinion Mining 1
- Advanced Text Analysis Techniques 1
- Authorship Attribution and Profiling 1
- Co-authors
- Benno Stein (4 shared papers)Nedim Lipka (1 shared paper)Gilles Louppe (2 shared papers)Markus Strohmaier (2 shared papers)Henning Wachsmuth (1 shared paper)Mathias Lux (1 shared paper)Mark Kröll (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)Meeting of the Association for Computational Linguistics (1 paper)International Conference on Computational Linguistics (1 paper)ORBi (University of Liège) (1 paper)
In The Last Decade
Peter Prettenhofer
8 papers receiving 339 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 299
- Safety Research 32
- Information Systems 46
- Computer Vision and Pattern Recognition 38
- Computational Mathematics 1
Countries citing papers authored by Peter Prettenhofer
This map shows the geographic impact of Peter Prettenhofer'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 Prettenhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Prettenhofer more than expected).
Fields of papers citing papers by Peter Prettenhofer
This network shows the impact of papers produced by Peter Prettenhofer. 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 Prettenhofer. The network helps show where Peter Prettenhofer may publish in the future.
Co-authors
The 7 scholars most cited alongside Peter Prettenhofer, 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 | Cross-Language Text Classification Using Structural Correspondence Learning | 2010 | 171 |
| 2 | 2010 | 92 | |
| 3 | 2014 | 48 | |
| 4 | 2011 | 40 | |
| 5 | Efficient Statement Identification for Automatic Market Forecasting | 2010 | 6 |
| 6 | Different degrees of explicitness in intentional artifacts: studying user goals in a large search query log | 2008 | 5 |
| 7 | 2008 | 4 | |
| 8 | Forecasting Daily Solar Energy Production Using Robust Regression Techniques | 2014 | 1 |
About Peter Prettenhofer
Peter Prettenhofer is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Statistical and Nonlinear Physics and Marketing, having authored 8 papers that have together received 367 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Text and Document Classification Technologies (2 papers), Academic integrity and plagiarism (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Web Data Mining and Analysis (1 paper), Advanced Text Analysis Techniques (1 paper), Authorship Attribution and Profiling (1 paper) and Information Retrieval and Search Behavior (1 paper). The work is most often cited by research in Artificial Intelligence (299 citations), Safety Research (32 citations), Information Systems (46 citations), Computer Vision and Pattern Recognition (38 citations) and Computational Mathematics (1 citation). Peter Prettenhofer has collaborated with scholars based in Germany, Austria and Belgium. Frequent co-authors include Benno Stein, Nedim Lipka, Gilles Louppe, Markus Strohmaier, Henning Wachsmuth, Mathias Lux and Mark Kröll. Their work appears in journals such as Language Resources and Evaluation, ACM Transactions on Intelligent Systems and Technology, Meeting of the Association for Computational Linguistics, International Conference on Computational Linguistics and ORBi (University of Liège).
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.