Gierad Laput
Impact in
- Human-Computer Interaction top 0.2%
- Interactive and Immersive Displays
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 2%
- Tactile and Sensory Interactions
Papers in
-
- Interactive and Immersive Displays 15
- Gaze Tracking and Assistive Technology 9
- Innovative Human-Technology Interaction 5
-
- Tactile and Sensory Interactions 19
- Co-authors
- Chris HarrisonRobert XiaoYang ZhangScott E. HudsonXiang ChenJeffrey P. BighamEric BrockmeyerMayank Goel
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)St Andrews Research Repository (St Andrews Research Repository) (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)ACM SIGACCESS Accessibility and Computing (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Gierad Laput
41 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 101
- Human-Computer Interaction 1.1k
- Cognitive Neuroscience 845
- Computer Vision and Pattern Recognition 592
- Computer Science Applications 122
- Signal Processing 156
Countries citing papers authored by Gierad Laput
This map shows the geographic impact of Gierad Laput'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 Gierad Laput with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gierad Laput more than expected).
Fields of papers citing papers by Gierad Laput
This network shows the impact of papers produced by Gierad Laput. 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 Gierad Laput. The network helps show where Gierad Laput may publish in the future.
Co-authors
The 25 scholars most cited alongside Gierad Laput, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2020 | 37 | |
| 4 | 2019 | 21 | |
| 5 | 2019 | 69 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 41 | |
| 8 | 2018 | 19 | |
| 9 | 2018 | 102 | |
| 10 | 2018 | 10 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 26 | |
| 13 | 2017 | 120 | |
| 14 | 2017 | 117 | |
| 15 | 2016 | 46 | |
| 16 | 2015 | 58 | |
| 17 | 2015 | 74 | |
| 18 | 2014 | 121 | |
| 19 | 2014 | 25 | |
| 20 | 2013 | 34 |
About Gierad Laput
Gierad Laput is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computer Science Applications and Computer Graphics and Computer-Aided Design, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (19 papers), Interactive and Immersive Displays (15 papers), Gaze Tracking and Assistive Technology (9 papers), Context-Aware Activity Recognition Systems (9 papers), Indoor and Outdoor Localization Technologies (6 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Innovative Human-Technology Interaction (5 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (1.1k citations), Cognitive Neuroscience (845 citations), Computer Vision and Pattern Recognition (592 citations), Computer Science Applications (122 citations) and Signal Processing (156 citations). Gierad Laput has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Chris Harrison, Robert Xiao, Yang Zhang, Scott E. Hudson, Xiang Chen, Yang Zhang, Jeffrey P. Bigham, Eric Brockmeyer, Mayank Goel and Karan Ahuja. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, St Andrews Research Repository (St Andrews Research Repository), CHI Conference on Human Factors in Computing Systems and ACM SIGACCESS Accessibility and Computing.
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.