Peter Scháuble
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Speech Recognition and Synthesis
- Algorithms and Data Compression
- Information Systems top 2%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 15
- Semantic Web and Ontologies 13
- Topic Modeling 8
- Algorithms and Data Compression 6
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- Music and Audio Processing 6
- Co-authors
- Páraic Sheridan (11 shared papers)Martín Braschler (9 shared papers)Hanspeter Frei (2 shared papers)Beat Wüthrich (1 shared paper)Judith L. Klavans (2 shared papers)Donna K. Harman (2 shared papers)Carol Peters (3 shared papers)Michael Heß (2 shared papers)
- Journals
- Information Retrieval (3 papers)Communications of the ACM (1 paper)ACM SIGMOD Record (1 paper)ACM SIGIR Forum (1 paper)Information Processing & Management (1 paper)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Peter Scháuble
46 papers receiving 708 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 691
- Information Systems 345
- Signal Processing 165
- Computer Vision and Pattern Recognition 140
- Computer Networks and Communications 75
Countries citing papers authored by Peter Scháuble
This map shows the geographic impact of Peter Scháuble'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 Scháuble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Scháuble more than expected).
Fields of papers citing papers by Peter Scháuble
This network shows the impact of papers produced by Peter Scháuble. 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 Scháuble. The network helps show where Peter Scháuble may publish in the future.
Co-authors
The 14 scholars most cited alongside Peter Scháuble, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cross-Language Information Retrieval (CLIR) Track Overview. | 1998 | 75 |
| 2 | Document and Passage Retrieval Based on Hidden Markov Models | 1994 | 66 |
| 3 | 1991 | 47 | |
| 4 | 1992 | 47 | |
| 5 | 1998 | 44 | |
| 6 | 1997 | 43 | |
| 7 | 2001 | 37 | |
| 8 | Highlighting Relevant Passages for Users of the Interactive SPIDER Retrieval System. | 1995 | 35 |
| 9 | 1994 | 31 | |
| 10 | 1997 | 28 | |
| 11 | 1997 | 27 | |
| 12 | SPIDER Retrieval System at TREC-5. | 1996 | 26 |
| 13 | 1995 | 24 | |
| 14 | 1993 | 22 | |
| 15 | 1995 | 22 | |
| 16 | 1997 | 22 | |
| 17 | 2000 | 21 | |
| 18 | 1994 | 19 | |
| 19 | 2001 | 17 | |
| 20 | 1998 | 17 |
About Peter Scháuble
Peter Scháuble is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 50 papers that have together received 873 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Semantic Web and Ontologies (13 papers), Information Retrieval and Search Behavior (9 papers), Topic Modeling (8 papers), Image Retrieval and Classification Techniques (6 papers), Music and Audio Processing (6 papers), Algorithms and Data Compression (6 papers) and Library Science and Information Systems (5 papers). The work is most often cited by research in Artificial Intelligence (691 citations), Information Systems (345 citations), Signal Processing (165 citations), Computer Vision and Pattern Recognition (140 citations) and Computer Networks and Communications (75 citations). Peter Scháuble has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Páraic Sheridan, Martín Braschler, Hanspeter Frei, Beat Wüthrich, Judith L. Klavans, Donna K. Harman, Carol Peters, Michael Heß, Michael Kluck and Ricardo A. Baeza-Yates. Their work appears in journals such as Information Retrieval, Communications of the ACM, ACM SIGMOD Record, ACM SIGIR Forum and Information Processing & Management.
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.