Token Flow Analysis
Token Flow Analysis is a dataflow modeling method that analyzes the propagation and transformation of discrete data units, or tokens, through a computational system to determine correctness, efficiency, and resource usage in processing workflows.
24
Publications
1.2K
Citations
51
Authors
28
Institutions
Publications per year
2017–2026
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1–5 of 24
51
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University of California, Berkeley
Berkeley, United States
6 h-index
8 publications
1.1K citations

University of Manchester
Manchester, United Kingdom
2 h-index
3 publications
342 citations
General Electric (United States)
Boston, United States
2 h-index
7 publications
106 citations
Lanner Group (United Kingdom)
Henley in Arden, United Kingdom
2 h-index
6 publications
72 citations
Philips (Netherlands)
Amsterdam, The Netherlands
1 h-index
5 publications
150 citations

University of Latvia
Riga, Latvia
1 h-index
2 publications
26 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
5 publications
80 citations
Bath Spa University
Bath, United Kingdom
1 h-index
1 publications
16 citations
1–8 of 28
1 publications · 17 citations
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1 publications · 12 citations
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1 publications · 16 citations
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Conference · 1 publications · 13 citations
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TPDS · 1 publications · 113 citations
1
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1–5