Daniel Nüst
Impact in
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- Scientific Computing and Data Management
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- Geographic Information Systems Studies
Papers in
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- Scientific Computing and Data Management 16
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- Research Data Management Practices 11
- Service-Oriented Architecture and Web Services 2
- Co-authors
- Edzer Pebesma (4 shared papers)Markus Konkol (7 shared papers)Patrick Maué (1 shared paper)Arne Bröring (1 shared paper)Krzysztof Janowicz (1 shared paper)Christian Knoth (2 shared papers)Carlos Granell (8 shared papers)Frank Ostermann (7 shared papers)
- Journals
- Ecography (1 paper)D-Lib Magazine (1 paper)Remote Sensing (1 paper)Annals of the American Association of Geographers (1 paper)Eos (1 paper)
- Partner nations
- GermanySpainNetherlands
In The Last Decade
Daniel Nüst
26 papers receiving 293 citations
Peers
Comparison fields: 5 of 75
- Information Systems and Management 121
- Geography, Planning and Development 39
- Information Systems 113
- Ecological Modeling 20
- Space and Planetary Science 4
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 72 | |
| 2 | 2018 | 44 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 26 | |
| 5 | 2017 | 23 | |
| 6 | 2017 | 20 | |
| 7 | 2012 | 19 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 6 | |
| 10 | 2015 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2015 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2021 | 2 |
About Daniel Nüst
Daniel Nüst is a scholar working on Information Systems and Management, Information Systems, Artificial Intelligence, Computer Networks and Communications and Geography, Planning and Development, having authored 29 papers that have together received 303 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (16 papers), Research Data Management Practices (11 papers), Data Analysis with R (5 papers), Semantic Web and Ontologies (4 papers), Geographic Information Systems Studies (4 papers), Data Management and Algorithms (3 papers), Distributed and Parallel Computing Systems (3 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Information Systems and Management (121 citations), Geography, Planning and Development (39 citations), Information Systems (113 citations), Ecological Modeling (20 citations) and Space and Planetary Science (4 citations). Daniel Nüst has collaborated with scholars based in Germany, Spain and Netherlands. Frequent co-authors include Edzer Pebesma, Markus Konkol, Patrick Maué, Arne Bröring, Krzysztof Janowicz, Christian Knoth, Carlos Granell, Frank Ostermann, Barbara Hofer and Roger Bivand. Their work appears in journals such as Ecography, D-Lib Magazine, Remote Sensing, Annals of the American Association of Geographers and Eos.
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.