Dan A. Calian
Impact in
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- Computer Graphics and Visualization Techniques
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
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- Image Enhancement Techniques 2
- Advanced Vision and Imaging 2
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- Adversarial Robustness in Machine Learning 1
- Metaheuristic Optimization Algorithms Research 1
- Evolutionary Algorithms and Applications 1
- Co-authors
- Jan Kautz (2 shared papers)Anthony Steed (1 shared paper)Tim Weyrich (1 shared paper)Rébecca Kleinberger (1 shared paper)Kenny Mitchell (2 shared papers)Paulo Gotardo (1 shared paper)Tomas Simon (1 shared paper)Jean‐François Lalonde (1 shared paper)
- Journals
- Memetic Computing (1 paper)ACM Transactions on Graphics (1 paper)Nature (1 paper)Computer Graphics Forum (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Dan A. Calian
7 papers receiving 223 citations
Peers
Comparison fields: 5 of 45
- Computer Graphics and Computer-Aided Design 67
- Automotive Engineering 90
- Industrial and Manufacturing Engineering 59
- Human-Computer Interaction 31
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Dan A. Calian
This map shows the geographic impact of Dan A. Calian'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 Dan A. Calian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan A. Calian more than expected).
Fields of papers citing papers by Dan A. Calian
This network shows the impact of papers produced by Dan A. Calian. 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 Dan A. Calian. The network helps show where Dan A. Calian may publish in the future.
Co-authors
The 24 scholars most cited alongside Dan A. Calian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 176 | |
| 2 | 2018 | 32 | |
| 3 | 2013 | 17 | |
| 4 | 2013 | 6 | |
| 5 | 2021 | 5 | |
| 6 | 2025 | 1 | |
| 7 | 2020 | 1 |
About Dan A. Calian
Dan A. Calian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 238 indexed citations. Recurring topics across this work include Image Enhancement Techniques (2 papers), Advanced Vision and Imaging (2 papers), Interactive and Immersive Displays (1 paper), Adversarial Robustness in Machine Learning (1 paper), Medical Imaging Techniques and Applications (1 paper), Recommender Systems and Techniques (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (67 citations), Automotive Engineering (90 citations), Industrial and Manufacturing Engineering (59 citations), Human-Computer Interaction (31 citations) and Computer Vision and Pattern Recognition (76 citations). Dan A. Calian has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jan Kautz, Anthony Steed, Tim Weyrich, Rébecca Kleinberger, Kenny Mitchell, Paulo Gotardo, Tomas Simon, Jean‐François Lalonde, Iain Matthews and Derek Nowrouzezahrai. Their work appears in journals such as Memetic Computing, ACM Transactions on Graphics, Nature, Computer Graphics Forum and arXiv (Cornell University).
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.