Morane Gruenpeter
Impact in
-
- Scientific Computing and Data Management
- Information Systems top 10%
- Research Data Management Practices
Papers in
-
- Research Data Management Practices 7
-
- Scientific Computing and Data Management 5
- Co-authors
- Tom Honeyman (3 shared papers)Daniel S. Katz (3 shared papers)Leyla Jael Castro (2 shared papers)Paula Andrea Martinez (2 shared papers)Michelle Barker (1 shared paper)Neil Chue Hong (1 shared paper)Jennifer Harrow (1 shared paper)Fotis Psomopoulos (1 shared paper)
- Journals
- Patterns (2 papers)Scientific Data (1 paper)Figshare (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)International Journal of Digital Curation (1 paper)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Morane Gruenpeter
7 papers receiving 225 citations
Morane Gruenpeter's Hit Papers
Peers
Comparison fields: 5 of 82
- Information Systems and Management 105
- Information Systems 93
- Health Informatics 4
- Management Science and Operations Research 28
- Management Information Systems 19
Countries citing papers authored by Morane Gruenpeter
This map shows the geographic impact of Morane Gruenpeter'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 Morane Gruenpeter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morane Gruenpeter more than expected).
Fields of papers citing papers by Morane Gruenpeter
This network shows the impact of papers produced by Morane Gruenpeter. 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 Morane Gruenpeter. The network helps show where Morane Gruenpeter may publish in the future.
Co-authors
The 20 scholars most cited alongside Morane Gruenpeter, 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 | Introducing the FAIR Principles for research software Hit paper breakdown → | 2022 | 192 |
| 2 | 2021 | 30 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 3 | |
| 7 | 2021 | 1 |
About Morane Gruenpeter
Morane Gruenpeter is a scholar working on Information Systems, Information Systems and Management, Management Science and Operations Research, Health Information Management and Infectious Diseases, having authored 7 papers that have together received 237 indexed citations. Recurring topics across this work include Research Data Management Practices (7 papers), Scientific Computing and Data Management (5 papers), Data Quality and Management (3 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Information Systems and Management (105 citations), Information Systems (93 citations), Health Informatics (4 citations), Management Science and Operations Research (28 citations) and Management Information Systems (19 citations). Morane Gruenpeter has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Tom Honeyman, Daniel S. Katz, Leyla Jael Castro, Paula Andrea Martinez, Michelle Barker, Neil Chue Hong, Jennifer Harrow, Fotis Psomopoulos, Carlos Martínez-Ortiz and Anna‐Lena Lamprecht. Their work appears in journals such as Patterns, Scientific Data, Figshare, Zenodo (CERN European Organization for Nuclear Research) and International Journal of Digital Curation.
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.