Manfred Lau
Impact in
- Human-Computer Interaction top 1%
- Interactive and Immersive Displays
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- Computer Graphics and Visualization Techniques
Papers in
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- Computer Graphics and Visualization Techniques 12
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- Interactive and Immersive Displays 7
- Co-authors
- Takeo IgarashiJun MitaniJames KuffnerGreg SaulChristian WeichelHans GellersenNicolas VillarDavid Kim
- Journals
- ACM Transactions on Graphics (5 papers)Computer Graphics Forum (2 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)IEEE Computer Graphics and Applications (2 papers)Graphical Models (1 paper)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Manfred Lau
35 papers receiving 902 citations
Peers
Comparison fields: 5 of 58
- Human-Computer Interaction 371
- Computer Graphics and Computer-Aided Design 152
- Architecture 50
- Computer Vision and Pattern Recognition 600
- Geology 75
Countries citing papers authored by Manfred Lau
This map shows the geographic impact of Manfred Lau'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 Manfred Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manfred Lau more than expected).
Fields of papers citing papers by Manfred Lau
This network shows the impact of papers produced by Manfred Lau. 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 Manfred Lau. The network helps show where Manfred Lau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manfred Lau, 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 | 2023 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 10 | |
| 6 | 2018 | 7 | |
| 7 | 2018 | 1 | |
| 8 | 2016 | 1 | |
| 9 | Learning a Human-Perceived Softness Measure of Virtual Objects | 2016 | 5 |
| 10 | 2016 | 1 | |
| 11 | 2016 | 1 | |
| 12 | 2013 | 2 | |
| 13 | 2013 | 35 | |
| 14 | 2011 | 88 | |
| 15 | 2010 | 36 | |
| 16 | 2009 | 53 | |
| 17 | 2009 | 49 | |
| 18 | 2007 | 24 | |
| 19 | 2006 | 52 | |
| 20 | 2005 | 92 |
About Manfred Lau
Manfred Lau is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Computer Vision and Pattern Recognition, Geology and Architecture, having authored 36 papers that have together received 956 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (13 papers), Computer Graphics and Visualization Techniques (12 papers), Interactive and Immersive Displays (7 papers), Human Motion and Animation (6 papers), Visual Attention and Saliency Detection (5 papers), Augmented Reality Applications (5 papers), Tactile and Sensory Interactions (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Human-Computer Interaction (371 citations), Computer Graphics and Computer-Aided Design (152 citations), Architecture (50 citations), Computer Vision and Pattern Recognition (600 citations) and Geology (75 citations). Manfred Lau has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Takeo Igarashi, Jun Mitani, James Kuffner, Greg Saul, Christian Weichel, Hans Gellersen, Nicolas Villar, David Kim, Ziv Bar‐Joseph and Yingqing Xu. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and Graphical Models.
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.