Matthew DuVall

728 citations
6 papers · 429 indexed · 1 hit paper · h-index 5
Topics
Advanced Vision and Imaging (5 papers)Computer Graphics and Visualization Techniques (4 papers)Image and Video Stabilization (2 papers)
Partner nations
United States

In The Last Decade

Matthew DuVall

6 papers receiving 403 citations

Hit Papers

DeepView: View Synthesis With Learned Gradient Descent2019202620212023201950100150200

Peers

Matthew DuVall
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 397
  • Computer Graphics and Computer-Aided Design 252
  • Computational Mechanics 91
  • Media Technology 38
  • Aerospace Engineering 31
Replace Daniel Erickson with:
Daniel Erickson United States
Jason Dourgarian United States
Janne Kontkanen United States
Abhimitra Meka United States
Konstantinos Rematas Germany
Jonathan T. Barron United Kingdom
Ivan Neulander United States
Basile Van Hoorick United States
Thu Nguyen-Phuoc United States
Borom Tunwattanapong United States
Matthew DuVall relative to Daniel Erickson United States Daniel Erickson's profile →
Citations per field
00.5×1.6×
Daniel Erickson · 1×
Citations per year

Countries citing papers authored by Matthew DuVall

Since Specialization
Citations

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

Fields of papers citing papers by Matthew DuVall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew DuVall

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew DuVall. A scholar is included among the top collaborators of Matthew DuVall 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 Matthew DuVall. Matthew DuVall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Matthew DuVall

Matthew DuVall is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 6 papers that have together received 429 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (4 papers) and Image and Video Stabilization (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (252 citations), Computer Vision and Pattern Recognition (397 citations) and Computational Mechanics (91 citations). Matthew DuVall has collaborated with scholars based in United States. Frequent co-authors include Michael Broxton, John P. Flynn, Paul Debevec, Ryan Overbeck, Richard Tucker, Graham Fyffe, Noah Snavely, Daniel Erickson, Jay Busch and Jason Dourgarian. Their work appears in journals such as ACM Transactions on Graphics.

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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