Daniel Ritchie

2.4k citations
36 papers · 1.1k · h-index 14

Impact in

Papers in

Daniel Ritchie

31 papers receiving 1.1k citations

Peers

Daniel Ritchie
Comparison fields: 5 of 80
  • Computer Graphics and Computer-Aided Design 361
  • Geology 160
  • Computer Vision and Pattern Recognition 574
  • Computational Mechanics 475
  • Human-Computer Interaction 46
Replace Ruizhen Hu with:
Ruizhen Hu China
Youyi Zheng China
Tianjia Shao China
Masaki Hilaga Japan
Hung‐Kuo Chu Taiwan
Thomas Leimkühler Germany
Klaus Hildebrandt Netherlands
Chen-Hsuan Lin United States
Zhouwang Yang China
Lingjie Liu United States
Daniel Ritchie relative to Ruizhen Hu China Ruizhen Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Ritchie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Ritchie Line = papers co-authored together Daniel Ritchie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012216
2 2018136
3 2009124
4 2019112
5 2010108
6 201363
7 201149
8 202049
9 202046
10 201546
11
Learning to Infer Graphics Programs from Hand-Drawn Images
201833
12 202126
13 202117
14 201014
15 201511
16 201811
17
Learning to Describe Scenes with Programs
20189
18 20149
19 20239
20
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching
20168

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 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (17 papers), Computer Graphics and Visualization Techniques (13 papers), Image Processing and 3D Reconstruction (6 papers), 3D Surveying and Cultural Heritage (6 papers), Advanced Vision and Imaging (5 papers), Computational Geometry and Mesh Generation (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Human Motion and Animation (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (361 citations), Geology (160 citations), Computer Vision and Pattern Recognition (574 citations), Computational Mechanics (475 citations) and Human-Computer Interaction (46 citations). Daniel Ritchie has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Manolis Savva, Pat Hanrahan, Matthew Fisher, Anne Lynn S. Chang, Thomas Funkhouser, James F. O’Brien, Jonathan Richard Shewchuk, Bryan M. Klingner, Martin Wicke and Lin Yuan. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, ACM SIGPLAN Notices, Journal of Educational Psychology and International Conference on Learning Representations.

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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