Mark Sagar

2.5k citations
47 papers · 1.6k · 1 hit paper · h-index 15

Impact in

Papers in

Mark Sagar

43 papers receiving 1.5k citations

Mark Sagar's Hit Papers

Acquiring the reflectance field of a human face 2000 · 706 citations
7060+8+17Years since publication200400600

Peers

Mark Sagar
Comparison fields: 5 of 134
  • Computer Graphics and Computer-Aided Design 505
  • Computer Vision and Pattern Recognition 760
  • Applied Psychology 138
  • Human-Computer Interaction 100
  • Computational Mechanics 288
Replace Maic Masuch with:
Maic Masuch Germany
Kosuke Sato Japan
Pedro Gamito Portugal
Martin Riemer Germany
Veronica Sundstedt Sweden
Tapio Takala Finland
Mendel Kleiner Sweden
Douglas W. Cunningham Germany
Samuel Silva Portugal
Moshe Mahler United States
Mark Sagar relative to Maic Masuch Germany Maic Masuch's profile →
Citations per field
00.5×4.4×
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 47 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 →
2000706
2 2014121
3 1993116
4 1994114
5 201677
6 201768
7 202058
8 199549
9 202148
10 201928
11 201628
12 202228
13 200627
14 202017
15 201417
16 202214
17 202111
18 202011
19 20048
20 20218

About Mark Sagar

Mark Sagar is a scholar working on Social Psychology, Computer Vision and Pattern Recognition, Applied Psychology, Clinical Psychology and Cognitive Neuroscience, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (12 papers), Face recognition and analysis (7 papers), Social Robot Interaction and HRI (6 papers), Child and Animal Learning Development (5 papers), Soft Robotics and Applications (4 papers), COVID-19 and Mental Health (4 papers), Mental Health via Writing (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (505 citations), Computer Vision and Pattern Recognition (760 citations), Applied Psychology (138 citations), Human-Computer Interaction (100 citations) and Computational Mechanics (288 citations). Mark Sagar has collaborated with scholars based in New Zealand, United States and Slovakia. Frequent co-authors include Chris Tchou, Paul Debevec, Tim Hawkins, Haarm-Pieter Duiker, Elizabeth Broadbent, Peter Hunter, Kate Loveys, Gordon D. Mallinson, David Bullivant and S. Lafontaine. Their work appears in journals such as Journal of Medical Internet Research, IEEE Transactions on Cognitive and Developmental Systems, Communications of the ACM, JMIR Mental Health and Nature Communications.

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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