Daniel Nüst
Impact in
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- Scientific Computing and Data Management
- Academic Publishing and Open Access
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- Geographic Information Systems Studies
Papers in
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- Scientific Computing and Data Management 21
- Academic Publishing and Open Access 6
- Geology 5
- Environmental Monitoring and Data Management 5
- Co-authors
- Edzer J Pebesma (5 shared papers)Stephen J. Eglen (4 shared papers)Markus Konkol (4 shared papers)Arne Bröring (2 shared papers)Krzysztof Janowicz (1 shared paper)Patrick Maué (1 shared paper)Christian Knoth (2 shared papers)Frank Ostermann (5 shared papers)
- Journals
- F1000Research (2 papers)Proceedings of the National Academy of Sciences (1 paper)Ecography (1 paper)Eos (1 paper)Learned Publishing (1 paper)
- Partner nations
- GermanySpainUnited Kingdom
In The Last Decade
Daniel Nüst
35 papers receiving 562 citations
Daniel Nüst's Hit Papers
Peers
Comparison fields: 5 of 91
- Information Systems and Management 239
- Geography, Planning and Development 56
- Geology 46
- Space and Planetary Science 5
- Statistics, Probability and Uncertainty 36
Countries citing papers authored by Daniel Nüst
This map shows the geographic impact of Daniel Nüst'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 Daniel Nüst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nüst more than expected).
Fields of papers citing papers by Daniel Nüst
This network shows the impact of papers produced by Daniel Nüst. 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 Daniel Nüst. The network helps show where Daniel Nüst may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Nüst, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty Hit paper breakdown → | 2022 | 113 |
| 2 | 2011 | 83 | |
| 3 | 2018 | 58 | |
| 4 | 2020 | 55 | |
| 5 | 2020 | 48 | |
| 6 | 2017 | 32 | |
| 7 | 2020 | 29 | |
| 8 | 2012 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 2019 | 16 | |
| 12 | 2016 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2011 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2011 | 6 | |
| 19 | 2015 | 4 | |
| 20 | 2015 | 4 |
About Daniel Nüst
Daniel Nüst is a scholar working on Information Systems and Management, Geology, Geography, Planning and Development, Artificial Intelligence and Information Systems, having authored 42 papers that have together received 591 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (21 papers), Research Data Management Practices (7 papers), Data Analysis with R (6 papers), Academic Publishing and Open Access (6 papers), Environmental Monitoring and Data Management (5 papers), Geographic Information Systems Studies (5 papers), Academic Writing and Publishing (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Information Systems and Management (239 citations), Geography, Planning and Development (56 citations), Geology (46 citations), Space and Planetary Science (5 citations) and Statistics, Probability and Uncertainty (36 citations). Daniel Nüst has collaborated with scholars based in Germany, Spain and United Kingdom. Frequent co-authors include Edzer J Pebesma, Stephen J. Eglen, Markus Konkol, Arne Bröring, Krzysztof Janowicz, Patrick Maué, Christian Knoth, Frank Ostermann, Carlos Granell and Ben Marwick. Their work appears in journals such as F1000Research, Proceedings of the National Academy of Sciences, Ecography, Eos and Learned Publishing.
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.