Michael Böttinger

2.4k citations
30 papers · 444 indexed · h-index 11

Michael Böttinger

30 papers receiving 434 citations

Peers

Michael Böttinger
Comparison fields: 5 of 76
  • Computer Graphics and Computer-Aided Design 70
  • Computer Vision and Pattern Recognition 203
  • Ecological Modeling 37
  • Geophysics 89
  • Signal Processing 53
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Citations per year

Countries citing papers authored by Michael Böttinger

Since Specialization
Citations

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

Fields of papers citing papers by Michael Böttinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20214
2 20205
3 201916
4 20194
5
Visual exploration of ensemble variability at the example of decadal climate predictions
20181
6 201812
7 20175
8 201785
9 201716
10 201515
11 20153
12 20147
13
Visualization in a Climate Computing Centre
20141
14 20133
15 20133
16 200852
17
GPU-based dynamic flow visualization for climate research applications
20079
18 2005105
19 200210
20
Visualisierung als Werkzeug zur Analyse von Klimasimulationsdaten
19981

About Michael Böttinger

Michael Böttinger is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Ecological Modeling, Signal Processing and Information Systems and Management, having authored 30 papers that have together received 444 indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Computer Graphics and Visualization Techniques (4 papers), Topological and Geometric Data Analysis (4 papers), Species Distribution and Climate Change (3 papers), Data Analysis with R (3 papers), Meteorological Phenomena and Simulations (3 papers), Data Management and Algorithms (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (70 citations), Computer Vision and Pattern Recognition (203 citations), Ecological Modeling (37 citations), Geophysics (89 citations) and Signal Processing (53 citations). Michael Böttinger has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Gerik Scheuermann, Eleonora Rivalta, Torsten Dahm, H. Jänicke, Niklas Röber, Mahsa Mirzargar, Robert M. Kirby, Robert R. Hoffman, Marc Rautenhaus and Rüdiger Westermann. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, PLoS ONE, International Journal of Digital Earth and Computers & Graphics.

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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