Mark Sagar

53 papers receiving 1.8k citations

Mark Sagar's Hit Papers

Acquiring the reflectance field of a human face 2000 · 787 citations
7870+8+17Years since publication250500750

Peers

Mark Sagar
Comparison fields: 5 of 140
  • Computer Graphics and Computer-Aided Design 570
  • Computer Vision and Pattern Recognition 875
  • Applied Psychology 126
  • Human-Computer Interaction 114
  • Computational Mechanics 333
Replace Maic Masuch with:
Maic Masuch Germany
Kosuke Sato Japan
M.‐Carmen Juan Spain
Veronica Sundstedt Sweden
Martin Riemer Germany
Tapio Takala Finland
Ingrid Heynderickx Netherlands
Mendel Kleiner Sweden
Huong Quynh Dinh United States
Joseph S. Lappin United States
Mark Sagar relative to Maic Masuch Germany Maic Masuch's profile →
Citations per field
00.5×4.5×
Maic Masuch · 1×
Citations per year

Countries citing papers authored by Mark Sagar

Since Specialization
Citations

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

Fields of papers citing papers by Mark Sagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Acquiring the reflectance field of a human face
Hit paper breakdown →
2000787
2 1993136
3 2014128
4 1994128
5 201688
6 201769
7 202068
8 199556
9 202155
10 202233
11 201631
12 201930
13 200630
14 201420
15 202019
16 202216
17 202113
18 201012
19 202011
20 201011

About Mark Sagar

Mark Sagar is a scholar working on Computer Vision and Pattern Recognition, Social Psychology, Applied Psychology, Cognitive Neuroscience and Biomedical Engineering, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (10 papers), Face recognition and analysis (8 papers), Social Robot Interaction and HRI (6 papers), Soft Robotics and Applications (5 papers), Child and Animal Learning Development (5 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Vision and Imaging (4 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (570 citations), Computer Vision and Pattern Recognition (875 citations), Applied Psychology (126 citations), Human-Computer Interaction (114 citations) and Computational Mechanics (333 citations). Mark Sagar has collaborated with scholars based in New Zealand, United States and Slovakia. Frequent co-authors include Tim Hawkins, Paul Debevec, Haarm-Pieter Duiker, Chris Tchou, Elizabeth Broadbent, Peter Hunter, Kate Loveys, Gordon D. Mallinson, David Bullivant and Lynette A. Jones. Their work appears in journals such as Journal of Medical Internet Research, PRESENCE Virtual and Augmented Reality, Philosophical Transactions of the Royal Society B Biological Sciences, International Journal of Human-Computer Studies and JMIR Mental Health.

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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