Greg Saul

523 citations
14 papers · 384 indexed · h-index 7

Impact in

Papers in

Greg Saul

13 papers receiving 368 citations

Peers

Greg Saul
Comparison fields: 5 of 68
  • Human-Computer Interaction 230
  • Computer Graphics and Computer-Aided Design 46
  • Architecture 16
  • Computer Science Applications 45
  • Computer Vision and Pattern Recognition 131
Replace César Torres with:
César Torres United States
Valkyrie Savage Denmark
Seok-Hyung Bae South Korea
Clement Zheng Singapore
Mayra Donaji Barrera Machuca Canada
Thijs Roumen Germany
Golan Levin United States
Christian Weichel United Kingdom
Hijung Valentina Shin United States
Mustafa Doga Dogan United States
Greg Saul relative to César Torres United States César Torres's profile →
Citations per field
00.5×3.1×
César Torres · 1×
Citations per year

Countries citing papers authored by Greg Saul

Since Specialization
Citations

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

Fields of papers citing papers by Greg Saul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 202013
2 20193
3 201912
4 20180
5 201862
6 201850
7 20131
8 201036
9 201056
10 20101
11 2010139
12
Co-Designed Paper Devices
20092
13 19996
14 19913

About Greg Saul

Greg Saul is a scholar working on Human-Computer Interaction, Architecture, Computer Science Applications, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 384 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (7 papers), Modular Robots and Swarm Intelligence (3 papers), Augmented Reality Applications (3 papers), Tactile and Sensory Interactions (3 papers), Teaching and Learning Programming (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (230 citations), Computer Graphics and Computer-Aided Design (46 citations), Architecture (16 citations), Computer Science Applications (45 citations) and Computer Vision and Pattern Recognition (131 citations). Greg Saul has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Takeo Igarashi, Manfred Lau, Jun Mitani, Mark D. Gross, Cheng Xu, Nicolas Villar, Daniel Cletheroe, Tim Regan, Christian Holz and Haiyan Zhang. Their work appears in journals such as Human-Computer Interaction, BMJ Open and Medical Hypotheses.

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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