Peter Hofmann
Impact in
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- Robotic Process Automation Applications
- Digital Transformation in Industry
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- Business Process Modeling and Analysis
- Big Data and Business Intelligence
Papers in
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- Big Data and Business Intelligence 2
- Business Process Modeling and Analysis 1
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- Privacy, Security, and Data Protection 2
- Co-authors
- Nils Urbach (6 shared papers)Toru Nakamura (2 shared papers)Shinsaku Kiyomoto (2 shared papers)Robert Keller (1 shared paper)Peter Dancker (1 shared paper)Oliver I. Wagner (1 shared paper)H. Schüler (1 shared paper)David Langer (1 shared paper)
In The Last Decade
Peter Hofmann
11 papers receiving 301 citations
Peers
Comparison fields: 5 of 73
- Industrial and Manufacturing Engineering 118
- Management Information Systems 94
- Information Systems 97
- Health Informatics 5
- Artificial Intelligence 80
Countries citing papers authored by Peter Hofmann
This map shows the geographic impact of Peter Hofmann'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 Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Hofmann more than expected).
Fields of papers citing papers by Peter Hofmann
This network shows the impact of papers produced by Peter Hofmann. 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 Hofmann. The network helps show where Peter Hofmann may publish in the future.
Co-authors
The 14 scholars most cited alongside Peter Hofmann, 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 | 2019 | 161 | |
| 2 | 2018 | 65 | |
| 3 | 2018 | 36 | |
| 4 | 2019 | 16 | |
| 5 | 2001 | 15 | |
| 6 | Machine Learning approaches along the Radiology Value Chain : Rethinking Value Propositions | 2019 | 6 |
| 7 | 2023 | 4 | |
| 8 | Gateways to Artificial Intelligence : Developing a Taxonomy for AI Service Platforms | 2021 | 3 |
| 9 | 2020 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2011 | 2 |
About Peter Hofmann
Peter Hofmann is a scholar working on Management Information Systems, Sociology and Political Science, Strategy and Management, Information Systems and Management of Technology and Innovation, having authored 11 papers that have together received 312 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (2 papers), Privacy-Preserving Technologies in Data (2 papers), Big Data and Business Intelligence (2 papers), Blood properties and coagulation (1 paper), Business Strategies and Innovation (1 paper), Advanced X-ray and CT Imaging (1 paper), Business Process Modeling and Analysis (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (118 citations), Management Information Systems (94 citations), Information Systems (97 citations), Health Informatics (5 citations) and Artificial Intelligence (80 citations). Peter Hofmann has collaborated with scholars based in Germany, Austria and Japan. Frequent co-authors include Nils Urbach, Toru Nakamura, Shinsaku Kiyomoto, Robert Keller, Peter Dancker, Oliver I. Wagner, H. Schüler, David Langer, Paul Rust and Vincent Schlatt. Their work appears in journals such as Journal of the Association for Information Systems, Electronic Markets, Technological Forecasting and Social Change, Biochemical Journal and Information Systems and e-Business 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.