Matthew Fisher

5.2k citations
52 papers · 2.8k indexed · 2 hit papers · h-index 28

Matthew Fisher

49 papers receiving 2.7k citations

Hit Papers

3DMatch: Learning Local Geometric Descriptors from RGB-D ...6852014202620182022200400600

Peers

Matthew Fisher
Comparison fields: 5 of 121
  • Computer Graphics and Computer-Aided Design 732
  • Geology 745
  • Computer Vision and Pattern Recognition 1.7k
  • Computational Mechanics 1.2k
  • Aerospace Engineering 782
Replace Yinda Zhang with:
Yinda Zhang United States
Sunghee Choi South Korea
Xiaowu Chen China
Andreas Schilling Germany
Vivek Kwatra United States
Masaki Hilaga Japan
Thomas Strothotte Germany
P. J. Narayanan India
Chris Buehler United States
Matthew Fisher relative to Yinda Zhang United States Yinda Zhang's profile →
Citations per field
00.5×20×40×52.3×
Yinda Zhang · 1×
Citations per year

Countries citing papers authored by Matthew Fisher

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Fisher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Matthew Fisher, 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 Matthew Fisher Line = papers co-authored together Matthew Fisher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20247
5 20240
6 20244
7 20235
8 202128
9 20212
10 202114
11 202133
12 201941
13 201859
14 201680
15
Crowdsourcing Hypothesis Tests
20161
16 201520
17 201439
18 201067
19 20091
20 200627

About Matthew Fisher

Matthew Fisher is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 52 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (27 papers), 3D Shape Modeling and Analysis (23 papers), Advanced Vision and Imaging (12 papers), Advanced Image and Video Retrieval Techniques (9 papers), Advanced Numerical Analysis Techniques (7 papers), Robotics and Sensor-Based Localization (6 papers), Computational Geometry and Mesh Generation (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (732 citations), Geology (745 citations) and Computer Vision and Pattern Recognition (1.7k citations). Matthew Fisher has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Pat Hanrahan, Matthias Nießner, Manolis Savva, Thomas Funkhouser, Shuran Song, Jianxiong Xiao, Andy Zeng, Peter Schröder, Daniel Ritchie and Mathieu Desbrun. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and Computing.

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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