Marcel Hebing
Impact in
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- Scientific Computing and Data Management
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Research Data Management Practices 5
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- Scientific Computing and Data Management 3
- Interdisciplinary Research and Collaboration 1
- Co-authors
- Benedikt Fecher (9 shared papers)Sascha Friesike (6 shared papers)Melissa Laufer (1 shared paper)Florian Griese (1 shared paper)Gert G. Wagner (1 shared paper)
- Journals
- PLoS ONE (2 papers)AI & Society (1 paper)Palgrave Communications (1 paper)PubMed (1 paper)London School of Economics and Political Science Research Online (London School of Economics and Political Science) (1 paper)
- Partner nations
- GermanyNetherlands
In The Last Decade
Marcel Hebing
10 papers receiving 392 citations
Peers
Comparison fields: 5 of 88
- Information Systems and Management 182
- Health Informatics 18
- Statistics, Probability and Uncertainty 75
- Information Systems 231
- Management Science and Operations Research 106
Countries citing papers authored by Marcel Hebing
This map shows the geographic impact of Marcel Hebing'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 Marcel Hebing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Hebing more than expected).
Fields of papers citing papers by Marcel Hebing
This network shows the impact of papers produced by Marcel Hebing. 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 Marcel Hebing. The network helps show where Marcel Hebing may publish in the future.
Co-authors
The 5 scholars most cited alongside Marcel Hebing, 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 | 2015 | 228 | |
| 2 | 2017 | 41 | |
| 3 | 2023 | 39 | |
| 4 | 2017 | 37 | |
| 5 | 2021 | 31 | |
| 6 | 2015 | 29 | |
| 7 | 2014 | 8 | |
| 8 | Reputation instead of obligation: forging new policies to motivate academic data sharing. | 2015 | 2 |
| 9 | How Do Researchers Achieve Societal Impact? Results of an Empirical Survey Among Researchers in Germany | 2021 | 1 |
| 10 | 2014 | 1 |
About Marcel Hebing
Marcel Hebing is a scholar working on Information Systems, Information Systems and Management, Sociology and Political Science, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 10 papers that have together received 417 indexed citations. Recurring topics across this work include Research Data Management Practices (5 papers), Scientific Computing and Data Management (3 papers), scientometrics and bibliometrics research (3 papers), Data Quality and Management (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Interdisciplinary Research and Collaboration (1 paper), Sociology and Education Studies (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Information Systems and Management (182 citations), Health Informatics (18 citations), Statistics, Probability and Uncertainty (75 citations), Information Systems (231 citations) and Management Science and Operations Research (106 citations). Marcel Hebing has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Benedikt Fecher, Sascha Friesike, Melissa Laufer, Florian Griese and Gert G. Wagner. Their work appears in journals such as PLoS ONE, AI & Society, Palgrave Communications, PubMed and London School of Economics and Political Science Research Online (London School of Economics and Political Science).
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.