Daniel Nüst

1.2k citations
29 papers · 303 indexed · h-index 8

Daniel Nüst

26 papers receiving 293 citations

Peers

Daniel Nüst
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
Replace Ruth Duerr with:
Ruth Duerr United States
Curt Tilmes United States
Anusuriya Devaraju Germany
Jon Blower United Kingdom
Lorenzo Bigagli Italy
Daniel Q. Duffy United States
Markus Konkol Germany
Stephan Zednik United States
Sandro Fiore Italy
Daniel Nüst relative to Ruth Duerr United States Ruth Duerr's profile →
Citations per field
00.5×1.5×2.5×
Ruth Duerr · 1×
Citations per year

Countries citing papers authored by Daniel Nüst

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Daniel Nüst Line = papers co-authored together Daniel Nüst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 202040
3 202026
4 20203
5 20196
6 20191
7 20191
8 20192
9 20193
10 20190
11 20181
12 20182
13 201844
14 20183
15 201720
16 20163
17 20154
18
Open and reproducible global land use classification
20151
19
Sensor web and web processing standards for crisis management.
20131
20 201172

About Daniel Nüst

Daniel Nüst is a scholar working on Information Systems and Management, Geography, Planning and Development, Information Systems, Artificial Intelligence and Signal Processing, 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), Geographic Information Systems Studies (4 papers), Semantic Web and Ontologies (4 papers), Distributed and Parallel Computing Systems (3 papers), Data Management and Algorithms (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, Arne Bröring, Patrick Maué, Krzysztof Janowicz, Christian Knoth, Carlos Granell, Frank Ostermann, Barbara Hofer and Roger Bivand. Their work appears in journals such as Ecography, Remote Sensing, Annals of the American Association of Geographers, D-Lib Magazine 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026