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
- Research Data Management Practices 1
- Co-authors
- Nebojša Tijanić (3 shared papers)Hervé Ménager (3 shared papers)Stian Soiland‐Reyes (3 shared papers)Michael R. Crusoe (3 shared papers)Brad Chapman (1 shared paper)Michael Heuer (1 shared paper)Andrey Kartashov (1 shared paper)Dan Leehr (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Research Explorer (The University of Manchester) (1 paper)Faculty of 1000 Research Ltd (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Peter Amstutz
5 papers receiving 228 citations
Peers
Comparison fields: 5 of 64
- Information Systems and Management 117
- Information Systems 78
- Biophysics 18
- Computer Networks and Communications 67
- Statistical and Nonlinear Physics 18
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 20 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 | 77 | |
| 3 | 2005 | 37 | |
| 4 | 2003 | 9 | |
| 5 | 2015 | 1 | |
| 6 | 2012 | 0 | |
| 7 | 2015 | 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 235 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Spam and Phishing Detection (1 paper), Interactive and Immersive Displays (1 paper), AI-based Problem Solving and Planning (1 paper), Research Data Management Practices (1 paper), Distributed and Parallel Computing Systems (1 paper), Virtual Reality Applications and Impacts (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Information Systems and Management (117 citations), Information Systems (78 citations), Biophysics (18 citations), Computer Networks and Communications (67 citations) and Statistical and Nonlinear Physics (18 citations). Peter Amstutz has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Nebojša Tijanić, Hervé Ménager, Stian Soiland‐Reyes, Michael R. Crusoe, Brad Chapman, Michael Heuer, Andrey Kartashov, Dan Leehr, Sanne Abeln and Alexandru Iosup. Their work appears in journals such as Communications of the ACM, Research Explorer (The University of Manchester), Faculty of 1000 Research Ltd and Zenodo (CERN European Organization for Nuclear Research).
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.