Matthew Hirsch

1.3k citations
28 papers · 1.0k · h-index 12

Impact in

Papers in

Matthew Hirsch

27 papers receiving 946 citations

Peers

Matthew Hirsch
Comparison fields: 5 of 50
  • Media Technology 794
  • Human-Computer Interaction 397
  • Computer Graphics and Computer-Aided Design 195
  • Computational Mathematics 19
  • Computer Vision and Pattern Recognition 548
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Phil Surman United Kingdom
Xunbo Yu China
Mårten Sjöström Sweden
Ki‐Chul Kwon South Korea
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Praneeth Chakravarthula United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Hirsch

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Hirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Matthew Hirsch, 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 Hirsch Line = papers co-authored together Matthew Hirsch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012318
2 201096
3 200990
4 201190
5 201189
6 201074
7 201459
8 201357
9 201230
10 201424
11 201014
12 201311
13 200911
14 201210
15 20129
16 20128
17 20137
18 20136
19 20144
20 20104

About Matthew Hirsch

Matthew Hirsch is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience and Human-Computer Interaction, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (21 papers), Advanced Vision and Imaging (13 papers), Computer Graphics and Visualization Techniques (9 papers), Interactive and Immersive Displays (6 papers), Visual perception and processing mechanisms (6 papers), Optical measurement and interference techniques (3 papers), Image Processing Techniques and Applications (3 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Media Technology (794 citations), Human-Computer Interaction (397 citations), Computer Graphics and Computer-Aided Design (195 citations), Computational Mathematics (19 citations) and Computer Vision and Pattern Recognition (548 citations). Matthew Hirsch has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ramesh Raskar, Douglas Lanman, Gordon Wetzstein, Yun‐Hee Kim, Wolfgang Heidrich, Henry Holtzman, Henry Fuchs, Andrew Maimone, Suren Jayasuriya and Diego Gutiérrez. Their work appears in journals such as ACM Transactions on Graphics, IEEE Computer Graphics and Applications, Journal of Physics Conference Series and DSpace@MIT (Massachusetts Institute of Technology).

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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