Tilo Ochotta

400 citations
10 papers · 292 · h-index 7

Impact in

Papers in

Tilo Ochotta

10 papers receiving 278 citations

Peers

Tilo Ochotta
Comparison fields: 5 of 36
  • Computer Graphics and Computer-Aided Design 118
  • Geology 69
  • Computational Mechanics 163
  • Computer Vision and Pattern Recognition 150
  • Environmental Engineering 66
Replace Gilles Gesquière with:
Gilles Gesquière France
Carlo de Franchis France
Aijin Li China
C. M. Gold Canada
Masaaki Iiyama Japan
Nannan Qin China
Hugues Thomas Canada
Michael Hornáček Austria
Bruno Lévy France
F. Alidoost Iran
Tilo Ochotta relative to Gilles Gesquière France Gilles Gesquière's profile →
Citations per field
00.5×3.3×
Gilles Gesquière · 1×
Citations per year

Countries citing papers authored by Tilo Ochotta

Since Specialization
Citations

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

Fields of papers citing papers by Tilo Ochotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Tilo Ochotta, 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 Tilo Ochotta Line = papers co-authored together Tilo Ochotta links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200788
2 200476
3 200842
4 200537
5 200826
6
ON THINNING METHODS FOR DATA ASSIMILATION OF SATELLITE OBSERVATIONS
200711
7
Edge-based partition coding for fractal image compression
20046
8 20064
9
Single-Pass High-Quality Splatting
20061
10
A Unified Projection Operator for Moving Least Squares Surfaces, SCI Institute Technical Report, No. UUSCI-2007-006
20071

About Tilo Ochotta

Tilo Ochotta is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Atmospheric Science and Global and Planetary Change, having authored 10 papers that have together received 292 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), 3D Shape Modeling and Analysis (6 papers), Advanced Vision and Imaging (3 papers), Advanced Numerical Analysis Techniques (3 papers), Meteorological Phenomena and Simulations (2 papers), Precipitation Measurement and Analysis (2 papers), Climate variability and models (2 papers) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (118 citations), Geology (69 citations), Computational Mechanics (163 citations), Computer Vision and Pattern Recognition (150 citations) and Environmental Engineering (66 citations). Tilo Ochotta has collaborated with scholars based in Germany and United States. Frequent co-authors include Dietmar Saupe, Joel Daniels, Claudio Silva, Werner Wergen, Christoph Gebhardt, Stefan Hiller, Robert M. Kirby, L J Schreiner, Claudio Silva and Carlos Scheidegger. Their work appears in journals such as The Visual Computer, Computer Graphics Forum, Quarterly Journal of the Royal Meteorological Society, KOPS (University of Konstanz) and KOPS (University of Konstanz).

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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