Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Coding facial expressions with Gabor wavelets
20021.5k citationsMichael J. Lyons, Shigeru Akamatsu et al.Zenodo (CERN European Organization for Nuclear Research)profile →
Automatic classification of single facial images
1999770 citationsMichael J. Lyons, Shigeru Akamatsu et al.profile →
Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron
2002413 citationsMichael J. Lyons, Mike Schuster et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Michael J. Lyons
Since
Specialization
Citations
This map shows the geographic impact of Michael J. Lyons'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 Michael J. Lyons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Lyons more than expected).
Fields of papers citing papers by Michael J. Lyons
This network shows the impact of papers produced by Michael J. Lyons. 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 Michael J. Lyons. The network helps show where Michael J. Lyons may publish in the future.
Co-authorship network of co-authors of Michael J. Lyons
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Lyons.
A scholar is included among the top collaborators of Michael J. Lyons 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 Michael J. Lyons. Michael J. Lyons is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jensenius, Alexander Refsum & Michael J. Lyons. (2017). A NIME Reader. CERN Document Server (European Organization for Nuclear Research).15 indexed citations
Bevilacqua, Frédéric, Sidney Fels, Alexander Refsum Jensenius, et al.. (2013). SIG NIME. Duo Research Archive (University of Oslo). 2529–2532.8 indexed citations
Lyons, Michael J., et al.. (2009). Exclusion of Downstream Products After Kyocera: A Revised Framework for General Exclusion Orders. Santa Clara computer and high-technology law journal. 25(4). 821.
10.
Li, Zhigang, Desheng Xue, Michael J. Lyons, & A. M. Brown. (2008). The African Enclave of Guangzhou: A Case Study of Xiaobeilu. ORCA Online Research @Cardiff. 63(2). 207–218.25 indexed citations
11.
Lyons, Michael J., et al.. (2005). Supporting Empathy in Online Learning with Artificial Expressions. Educational Technology & Society. 8(4). 22–30.4 indexed citations
Lyons, Michael J., et al.. (2002). Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron. 454–459.413 indexed citations breakdown →
17.
Lyons, Michael J., et al.. (2000). Viewpoint Dependent Facial Expressions Recognition Japanese Noh Masks and the Human Face. eScholarship (California Digital Library). 22(22).
18.
Lyons, Michael J.. (1996). A model based on V1 cell responses predicts human perception of facial similarity. Medical Entomology and Zoology. 37(910).3 indexed citations
Lyons, Michael J.. (1989). World War II : A Short History. Medical Entomology and Zoology.8 indexed citations
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.