Clifford Lau

26 papers receiving 788 citations

Peers

Clifford Lau
Comparison fields: 5 of 136
  • Statistics, Probability and Uncertainty 123
  • Cognitive Neuroscience 115
  • Artificial Intelligence 114
  • Economics and Econometrics 114
  • Biomedical Engineering 109
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Péter András United Kingdom
Anat Sakov Israel
Ssu‐Han Chen Taiwan
Chun-Fu Chen Taiwan
Chang Hee Han South Korea
Mattias Nilsson Sweden
Soo Yong Kim South Korea
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Lai Xu United States
Jianhui Chen China
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Citations per year

Countries citing papers authored by Clifford Lau

Since Specialization
Citations

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

Fields of papers citing papers by Clifford Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clifford Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Clifford Lau. A scholar is included among the top collaborators of Clifford Lau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clifford Lau. Clifford Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Megatrend Issues in Artificial Intelligence and Autonomous Systems
2
2 5
3 41
4 6
5 9
6 27
7 58
8 18
9 46
10
The Department of Energy's Tritium Production Program. (97002), Congressional Research Service Issue Brief,
2
11 2
12
Neural Networks on a Chip
2
13
Foundations of dependable computing : models and frameworks for dependable systems
1
14
Foundations of Dependable Computing: Paradigms for Dependable Applications
2
15 7
16
Neural Networks: Theoretical Foundations and Analysis
120
17
Distributed Neural Information Processing in the Vestibulo-Ocular System
1
18 53
19 6
20 7

About Clifford Lau

Clifford Lau is a scholar working on Neurology, Statistics, Probability and Uncertainty and History and Philosophy of Science, having authored 27 papers that have together received 863 indexed citations. Recurring topics across this work include Vestibular and auditory disorders (8 papers), scientometrics and bibliometrics research (4 papers) and Ophthalmology and Eye Disorders (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (123 citations), Neurology (100 citations) and Management of Technology and Innovation (64 citations). Clifford Lau has collaborated with scholars based in United States. Frequent co-authors include Ronald N. Kostoff, Joel L. Davis, Steven F. Zornetzer, W. M. Tolles, J. S. Murday, Vicente Honrubia, Herman A. Jenkins, Robert W. Baloh, Robert D. Yee and Young S. Kim. Their work appears in journals such as Neurology, Annals of the New York Academy of Sciences and Technological Forecasting and Social Change.

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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2026