Andreas Stoffel

52 papers receiving 1.4k citations

Andreas Stoffel's Hit Papers

Knowledge Generation Model for Visual Analytics 2014 · 285 citations
2850+4+8Years since publication50100150200250

Peers

Andreas Stoffel
Comparison fields: 5 of 109
  • Management, Monitoring, Policy and Law 421
  • Atmospheric Science 608
  • Computer Vision and Pattern Recognition 544
  • Geology 120
  • Environmental Engineering 182
Replace Jun Zhu with:
Jun Zhu China
P.F. Fisher United Kingdom
Jo Wood United Kingdom
Wei Chu United States
James Frew United States
Alessandro Annoni Italy
Doris Dransch Germany
P.C. Smits Italy
Dino Ienco France
Caroline Gevaert Netherlands
Andreas Stoffel relative to Jun Zhu China Jun Zhu's profile →
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Countries citing papers authored by Andreas Stoffel

Since Specialization
Citations

This map shows the geographic impact of Andreas Stoffel'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 Andreas Stoffel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Stoffel more than expected).

Fields of papers citing papers by Andreas Stoffel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Stoffel. 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 Andreas Stoffel. The network helps show where Andreas Stoffel may publish in the future.

Co-authors

The 25 scholars most cited alongside Andreas Stoffel, 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 Andreas Stoffel Line = papers co-authored together Andreas Stoffel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Knowledge Generation Model for Visual Analytics
Hit paper breakdown →
2014285
2 2016151
3 2012115
4 2013105
5 200977
6 201768
7 201862
8 201248
9 200644
10 202043
11 202141
12 201440
13 201134
14 201734
15 199832
16 202230
17 201430
18 201021
19 201019
20 200918

About Andreas Stoffel

Andreas Stoffel is a scholar working on Atmospheric Science, Management, Monitoring, Policy and Law, Computer Vision and Pattern Recognition, Global and Planetary Change and Artificial Intelligence, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cryospheric studies and observations (22 papers), Landslides and related hazards (21 papers), Data Visualization and Analytics (14 papers), Fire effects on ecosystems (8 papers), Remote Sensing and LiDAR Applications (7 papers), Hydrology and Sediment Transport Processes (6 papers), 3D Surveying and Cultural Heritage (6 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (421 citations), Atmospheric Science (608 citations), Computer Vision and Pattern Recognition (544 citations), Geology (120 citations) and Environmental Engineering (182 citations). Andreas Stoffel has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Daniel A. Keim, Yves Bühler, Marc Adams, Bum Chul Kwon, Dominik Sacha, Geoffrey Ellis, Florian Stoffel, Roland Meister, Marc Christen and Oliver Deußen. Their work appears in journals such as Natural hazards and earth system sciences, ˜The œcryosphere, IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Annals of Glaciology.

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.

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