Daniel Cotting

452 citations
12 papers · 345 · h-index 6

Impact in

Papers in

Daniel Cotting

11 papers receiving 333 citations

Peers

Daniel Cotting
Comparison fields: 5 of 28
  • Computer Graphics and Computer-Aided Design 122
  • Human-Computer Interaction 133
  • Computer Vision and Pattern Recognition 285
  • Media Technology 47
  • Geology 27
Replace Jason Dourgarian with:
Jason Dourgarian United States
Shishir Subramanyam Netherlands
Daniel Erickson United States
Evgeniy Upenik Switzerland
Marios Papas Switzerland
Guibiao Liao China
Matt Whalen United States
Joerg H. Mueller Austria
Anita Sellent Germany
Srinivas Rao United States
Daniel Cotting relative to Jason Dourgarian United States Jason Dourgarian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Cotting

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cotting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Daniel Cotting, 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 Cotting Line = papers co-authored together Daniel Cotting links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200592
2 200580
3 200472
4 200643
5 200525
6 200719
7 20074
8 20063
9 20043
10 20032
11 20072
12 20030

About Daniel Cotting

Daniel Cotting is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design and Cognitive Neuroscience, having authored 12 papers that have together received 345 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (6 papers), Advanced Optical Imaging Technologies (4 papers), Augmented Reality Applications (4 papers), Tactile and Sensory Interactions (4 papers), Computer Graphics and Visualization Techniques (3 papers), Data Visualization and Analytics (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (122 citations), Human-Computer Interaction (133 citations), Computer Vision and Pattern Recognition (285 citations), Media Technology (47 citations) and Geology (27 citations). Daniel Cotting has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Markus H. Groß, Martin Naef, Stephan Würmlin, Mark V. Pauly, Tim Weyrich, Filip Sadlo, Remo Ziegler, Henry Fuchs, Ming Hao and Thomas Holenstein. Their work appears in journals such as Computer Graphics Forum, The Visual Computer, Parallel Computing, Signal Processing Image Communication and UCL Discovery (University College London).

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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