Matthew Hirsch

1.3k total citations
28 papers, 1.0k citations indexed

About

Matthew Hirsch is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Matthew Hirsch has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Media Technology, 14 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Matthew Hirsch's work include Advanced Optical Imaging Technologies (21 papers), Advanced Vision and Imaging (13 papers) and Computer Graphics and Visualization Techniques (9 papers). Matthew Hirsch is often cited by papers focused on Advanced Optical Imaging Technologies (21 papers), Advanced Vision and Imaging (13 papers) and Computer Graphics and Visualization Techniques (9 papers). Matthew Hirsch collaborates with scholars based in United States, Canada and United Kingdom. Matthew Hirsch's co-authors include Ramesh Raskar, Douglas Lanman, Gordon Wetzstein, Yun‐Hee Kim, Wolfgang Heidrich, Henry Holtzman, Henry Fuchs, Andrew Maimone, Diego Gutiérrez and Alyosha Molnar and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Computer Graphics and Applications and Journal of Physics Conference Series.

In The Last Decade

Matthew Hirsch

27 papers receiving 943 citations

Peers

Matthew Hirsch
Comparison fields: 5 of 50
  • Media Technology 788
  • Computer Vision and Pattern Recognition 547
  • Human-Computer Interaction 393
  • Cognitive Neuroscience 236
  • Computer Graphics and Computer-Aided Design 195
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Phil Surman United Kingdom View profile →
Citations per field, relative to Matthew Hirsch
Matthew Hirsch · 1×
Citations per year, relative to Matthew Hirsch
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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-authorship network of co-authors of Matthew Hirsch

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 24
4 11
5 7
6 6
7 1
8 10
9 314
10 29
11 9
12 89
13 3
14 90
15 1
16 14
17 74
18 2
19 4
20 11

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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