Marion Poetz
- Computer Science Applications top 0.5%
- Communication top 2%
- Sociology and Political Science top 5%
- Strategy and Management top 5%
- Marketing top 5%
- Co-authors
- Martin SchreierNikolaus FrankeReinhard PrüglHenry SauermannSusanne BeckChiara FranzoniChristoph GrimpeKarin Beukel
- Topics
- Open Source Software Innovations (13 papers)Knowledge Management and Sharing (8 papers)Innovation and Knowledge Management (5 papers)
In The Last Decade
Marion Poetz
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Science Applications 649
- Communication 315
- Sociology and Political Science 303
- Strategy and Management 284
- Marketing 226
Countries citing papers authored by Marion Poetz
This map shows the geographic impact of Marion Poetz'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 Marion Poetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Poetz more than expected).
Fields of papers citing papers by Marion Poetz
This network shows the impact of papers produced by Marion Poetz. 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 Marion Poetz. The network helps show where Marion Poetz may publish in the future.
Co-authorship network of co-authors of Marion Poetz
This figure shows the co-authorship network connecting the top 25 collaborators of Marion Poetz. A scholar is included among the top collaborators of Marion Poetz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marion Poetz. Marion Poetz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 24 | |
| 7 | Co-creation in (Citizen) Science:Unbundling the Concept and Identifying Key Challenges | 1 |
| 8 | 6 | |
| 9 | 31 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | Leadership in Open and Distributed Innovation | 2 |
| 13 | 3 | |
| 14 | To Innovate Better, Find Divergent Thinkers | 3 |
| 15 | 13 | |
| 16 | Sometimes the Best Ideas Come from Outside Your Industry | 6 |
| 17 | Find the Right Expert for Any Problem | 0 |
| 18 | The value of crowdsourcing: Can users really compete with professionals in generating new product ideas?breakdown → | 849 |
| 19 | 72 | |
| 20 | 2 |
About Marion Poetz
Marion Poetz is a scholar working on Computer Science Applications, Communication and Management of Technology and Innovation, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Open Source Software Innovations (13 papers), Knowledge Management and Sharing (8 papers) and Innovation and Knowledge Management (5 papers). The work is most often cited by research in Computer Science Applications (649 citations), Communication (315 citations) and Business and International Management (74 citations). Marion Poetz has collaborated with scholars based in Denmark, Austria and Germany. Frequent co-authors include Martin Schreier, Nikolaus Franke, Reinhard Prügl, Henry Sauermann, Susanne Beck, Chiara Franzoni, Christoph Grimpe, Karin Beukel, Maral Mahdad and Markus Eurich. Their work appears in journals such as PLoS ONE, Management Science and Research Policy.
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.