Chris Buehler
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Computer Graphics and Computer-Aided Design top 0.2%
- Computational Mechanics top 5%
- Aerospace Engineering top 5%
- Co-authors
- Mark JohnsonDamien TeneyStephen Jay GouldPeter AndersonXiaodong HeLei ZhangLeonard McMillanSteven J. Gortler
- Topics
- Advanced Vision and Imaging (6 papers)Computer Graphics and Visualization Techniques (5 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- Digital Access to Scholarship at Harvard (DASH) (Harvard University)ANU Open Research (Australian National University)arXiv (Cornell University)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Chris Buehler
8 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 4.3k
- Artificial Intelligence 1.9k
- Computer Graphics and Computer-Aided Design 779
- Computational Mechanics 287
- Aerospace Engineering 252
Countries citing papers authored by Chris Buehler
This map shows the geographic impact of Chris Buehler'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 Chris Buehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Buehler more than expected).
Fields of papers citing papers by Chris Buehler
This network shows the impact of papers produced by Chris Buehler. 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 Chris Buehler. The network helps show where Chris Buehler may publish in the future.
Co-authorship network of co-authors of Chris Buehler
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Buehler. A scholar is included among the top collaborators of Chris Buehler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Buehler. Chris Buehler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answeringbreakdown → | 2973 |
| 2 | Bottom-Up and Top-Down Attention for Image Captioning and VQA. | 144 |
| 3 | An Efficient Visual Hull Computation Algorithm | 8 |
| 4 | 179 | |
| 5 | Unstructured lumigraph renderingbreakdown → | 627 |
| 6 | 113 | |
| 7 | Image-based visual hullsbreakdown → | 615 |
| 8 | Creating and Rendering Image-Based Visual Hulls | 16 |
About Chris Buehler
Chris Buehler is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 8 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (779 citations), Computer Vision and Pattern Recognition (4.3k citations) and Artificial Intelligence (1.9k citations). Chris Buehler has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Mark Johnson, Damien Teney, Stephen Jay Gould, Peter Anderson, Xiaodong He, Lei Zhang, Leonard McMillan, Steven J. Gortler, Wojciech Matusik and Michael Bosse. Their work appears in journals such as Digital Access to Scholarship at Harvard (DASH) (Harvard University), ANU Open Research (Australian National University) 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.