Daniel Ritchie
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 2%
- 3D Surveying and Cultural Heritage
Papers in
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- Image Processing and 3D Reconstruction 6
- Advanced Vision and Imaging 5
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- 3D Shape Modeling and Analysis 19
- Co-authors
- Manolis Savva (8 shared papers)Pat Hanrahan (8 shared papers)Matthew Fisher (3 shared papers)Anne Lynn S. Chang (6 shared papers)Thomas Funkhouser (1 shared paper)Jonathan Richard Shewchuk (4 shared papers)James F. O’Brien (4 shared papers)Martin Wicke (3 shared papers)
- Journals
- ACM Transactions on Graphics (15 papers)Computer Graphics Forum (5 papers)ACM SIGPLAN Notices (1 paper)Journal of Educational Psychology (1 paper)Lecture notes in computer science (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel Ritchie
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Computer Graphics and Computer-Aided Design 392
- Geology 181
- Computer Vision and Pattern Recognition 684
- Computational Mechanics 517
- Industrial and Manufacturing Engineering 94
Countries citing papers authored by Daniel Ritchie
This map shows the geographic impact of Daniel Ritchie'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 Ritchie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ritchie more than expected).
Fields of papers citing papers by Daniel Ritchie
This network shows the impact of papers produced by Daniel Ritchie. 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 Ritchie. The network helps show where Daniel Ritchie may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ritchie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 240 | |
| 2 | 2018 | 145 | |
| 3 | 2009 | 136 | |
| 4 | 2019 | 127 | |
| 5 | 2010 | 115 | |
| 6 | 2013 | 65 | |
| 7 | 2011 | 57 | |
| 8 | 2020 | 54 | |
| 9 | 2018 | 54 | |
| 10 | 2020 | 47 | |
| 11 | 2015 | 47 | |
| 12 | Learning to Infer Graphics Programs from Hand-Drawn Images | 2018 | 38 |
| 13 | 2021 | 31 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2010 | 14 | |
| 17 | 2023 | 12 | |
| 18 | Learning to Describe Scenes with Programs | 2018 | 11 |
| 19 | 2018 | 11 | |
| 20 | 2015 | 11 |
About Daniel Ritchie
Daniel Ritchie is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Geology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (19 papers), Computer Graphics and Visualization Techniques (15 papers), 3D Surveying and Cultural Heritage (7 papers), Image Processing and 3D Reconstruction (6 papers), Advanced Vision and Imaging (5 papers), Manufacturing Process and Optimization (4 papers), Computational Geometry and Mesh Generation (4 papers) and Human Motion and Animation (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (392 citations), Geology (181 citations), Computer Vision and Pattern Recognition (684 citations), Computational Mechanics (517 citations) and Industrial and Manufacturing Engineering (94 citations). Daniel Ritchie has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Manolis Savva, Pat Hanrahan, Matthew Fisher, Anne Lynn S. Chang, Thomas Funkhouser, Jonathan Richard Shewchuk, James F. O’Brien, Martin Wicke, Bryan M. Klingner and Kai Wang. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, ACM SIGPLAN Notices, Journal of Educational Psychology and Lecture notes in computer science.
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.