Peter Amstutz
Impact in
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- Scientific Computing and Data Management
- Information Systems top 10%
- Research Data Management Practices
Papers in
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- Scientific Computing and Data Management 3
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- Spam and Phishing Detection 1
- Co-authors
- Hervé Ménager (3 shared papers)Michael R. Crusoe (3 shared papers)Stian Soiland‐Reyes (3 shared papers)Nebojša Tijanić (3 shared papers)Dan Leehr (1 shared paper)Brad Chapman (1 shared paper)Andrey Kartashov (1 shared paper)Michael Heuer (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Faculty of 1000 Research Ltd (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Figshare (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Peter Amstutz
5 papers receiving 223 citations
Peers
Comparison fields: 5 of 65
- Information Systems and Management 120
- Information Systems 82
- Biophysics 19
- Computer Networks and Communications 68
- Artificial Intelligence 47
Countries citing papers authored by Peter Amstutz
This map shows the geographic impact of Peter Amstutz'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 Amstutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Amstutz more than expected).
Fields of papers citing papers by Peter Amstutz
This network shows the impact of papers produced by Peter Amstutz. 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 Amstutz. The network helps show where Peter Amstutz may publish in the future.
Co-authors
The 19 scholars most cited alongside Peter Amstutz, 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 | 2016 | 111 | |
| 2 | 2022 | 72 | |
| 3 | 2005 | 37 | |
| 4 | 2003 | 9 | |
| 5 | 2015 | 1 | |
| 6 | 2015 | 0 | |
| 7 | 2012 | 0 |
About Peter Amstutz
Peter Amstutz is a scholar working on Information Systems and Management, Information Systems, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 230 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Interactive and Immersive Displays (1 paper), Advanced Text Analysis Techniques (1 paper), Spam and Phishing Detection (1 paper), Multi-Agent Systems and Negotiation (1 paper), Virtual Reality Applications and Impacts (1 paper), Semantic Web and Ontologies (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Information Systems and Management (120 citations), Information Systems (82 citations), Biophysics (19 citations), Computer Networks and Communications (68 citations) and Artificial Intelligence (47 citations). Peter Amstutz has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Hervé Ménager, Michael R. Crusoe, Stian Soiland‐Reyes, Nebojša Tijanić, Dan Leehr, Brad Chapman, Andrey Kartashov, Michael Heuer, Alexandru Iosup and John Chilton. Their work appears in journals such as Communications of the ACM, Faculty of 1000 Research Ltd, Zenodo (CERN European Organization for Nuclear Research) and Figshare.
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.