Peter Gerstl
Impact in
- Emergency Medicine top 10%
- Cardiac Arrest and Resuscitation
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Natural Language Processing Techniques 3
- Semantic Web and Ontologies 3
- Speech and dialogue systems 2
-
- linguistics and terminology studies 1
- Syntax, Semantics, Linguistic Variation 1
- Co-authors
- Jochen Dörre (2 shared papers)Thomas F. Lüscher (1 shared paper)Julia Fox (1 shared paper)Urs Eriksson (1 shared paper)Christophe Wyss (1 shared paper)Epaminondas Kapetanios (1 shared paper)Osmund Bertel (1 shared paper)Julian Schilling (1 shared paper)
- Journals
- Data & Knowledge Engineering (2 papers)Acute Cardiac Care (1 paper)International Journal of Human-Computer Studies (1 paper)American Journal of Medical Quality (1 paper)Praxis Der Wirtschaftsinformatik (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Peter Gerstl
8 papers receiving 213 citations
Peers
Comparison fields: 5 of 69
- Emergency Medicine 42
- Artificial Intelligence 137
- Information Systems 65
- Management Information Systems 17
- Signal Processing 19
Countries citing papers authored by Peter Gerstl
This map shows the geographic impact of Peter Gerstl'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 Gerstl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gerstl more than expected).
Fields of papers citing papers by Peter Gerstl
This network shows the impact of papers produced by Peter Gerstl. 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 Gerstl. The network helps show where Peter Gerstl may publish in the future.
Co-authors
The 8 scholars most cited alongside Peter Gerstl, 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 | 1999 | 86 | |
| 2 | 1995 | 53 | |
| 3 | 2013 | 45 | |
| 4 | 2003 | 25 | |
| 5 | 1996 | 24 | |
| 6 | Text Mining: Grundlagen, Verfahren und Anwendungen. | 2001 | 6 |
| 7 | 2003 | 4 | |
| 8 | 1992 | 3 |
About Peter Gerstl
Peter Gerstl is a scholar working on Artificial Intelligence, Language and Linguistics, Computer Networks and Communications, Cardiology and Cardiovascular Medicine and Information Systems, having authored 8 papers that have together received 246 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Semantic Web and Ontologies (3 papers), Speech and dialogue systems (2 papers), Cardiac Imaging and Diagnostics (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), linguistics and terminology studies (1 paper), Cardiac Arrest and Resuscitation (1 paper) and Syntax, Semantics, Linguistic Variation (1 paper). The work is most often cited by research in Emergency Medicine (42 citations), Artificial Intelligence (137 citations), Information Systems (65 citations), Management Information Systems (17 citations) and Signal Processing (19 citations). Peter Gerstl has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Jochen Dörre, Thomas F. Lüscher, Julia Fox, Urs Eriksson, Christophe Wyss, Epaminondas Kapetanios, Osmund Bertel and Julian Schilling. Their work appears in journals such as Data & Knowledge Engineering, Acute Cardiac Care, International Journal of Human-Computer Studies, American Journal of Medical Quality and Praxis Der Wirtschaftsinformatik.
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.