Peter Daiser
Impact in
- Public Administration top 5%
- Public Policy and Administration Research
- Strategy and Management top 5%
- Innovation and Knowledge Management
Papers in
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- E-Government and Public Services 14
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- Social Media and Politics 5
- Knowledge Management and Sharing 4
- Co-authors
- Bernd W. Wirtz (25 shared papers)Vincent Göttel (2 shared papers)Tamyko Ysa (1 shared paper)Daniel Schmitt (1 shared paper)Linda Mory (2 shared papers)Steven Birkmeyer (1 shared paper)
In The Last Decade
Peter Daiser
24 papers receiving 722 citations
Peers
Comparison fields: 5 of 68
- Public Administration 76
- Strategy and Management 234
- Information Systems and Management 99
- Communication 100
- Political Science and International Relations 344
Countries citing papers authored by Peter Daiser
This map shows the geographic impact of Peter Daiser'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 Daiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Daiser more than expected).
Fields of papers citing papers by Peter Daiser
This network shows the impact of papers produced by Peter Daiser. 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 Daiser. The network helps show where Peter Daiser may publish in the future.
Co-authors
The 6 scholars most cited alongside Peter Daiser, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 109 | |
| 2 | 2016 | 101 | |
| 3 | 2016 | 83 | |
| 4 | 2016 | 82 | |
| 5 | 2017 | 69 | |
| 6 | 2017 | 67 | |
| 7 | 2018 | 61 | |
| 8 | 2015 | 38 | |
| 9 | 2014 | 29 | |
| 10 | 2017 | 18 | |
| 11 | Social Networks: Usage Intensity and Effects on Personalized Advertising | 2017 | 17 |
| 12 | 2017 | 17 | |
| 13 | 2016 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2016 | 12 | |
| 16 | 2016 | 11 | |
| 17 | 2018 | 9 | |
| 18 | Measuring eGovernment Portal Management on the Local Level: Results from a Survey of Public Administration Officials | 2014 | 7 |
| 19 | 2017 | 7 | |
| 20 | 2016 | 5 |
About Peter Daiser
Peter Daiser is a scholar working on Political Science and International Relations, Communication, Information Systems and Management, Strategy and Management and Sociology and Political Science, having authored 32 papers that have together received 782 indexed citations. Recurring topics across this work include E-Government and Public Services (14 papers), Technology Adoption and User Behaviour (7 papers), Social Media and Politics (5 papers), Knowledge Management and Sharing (4 papers), Public Policy and Administration Research (3 papers), Corporate Governance and Management (3 papers), Sustainable Supply Chain Management (2 papers) and Cinema and Media Studies (2 papers). The work is most often cited by research in Public Administration (76 citations), Strategy and Management (234 citations), Information Systems and Management (99 citations), Communication (100 citations) and Political Science and International Relations (344 citations). Peter Daiser has collaborated with scholars based in Germany, France and Spain. Frequent co-authors include Bernd W. Wirtz, Vincent Göttel, Tamyko Ysa, Daniel Schmitt, Linda Mory and Steven Birkmeyer. Their work appears in journals such as International Review of Administrative Sciences, International Journal of Public Administration, Public Management Review, Creative Industries Journal and International Journal of Public Sector 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.