Tax Data Analytics
Tax Data Analytics is a systematic computational method for examining and interpreting tax-related financial records and transactions through statistical, algorithmic, and machine learning techniques to detect patterns, ensure compliance, and support decision-making within tax administration information systems.
59
Publications
2.7K
Citations
181
Authors
87
Institutions
Publications per year
2017–2026
38
59
Gabriel Zucman · Annual Review of Economics · 2019 · 337 citations · Full text
Social Sciences, Economics, Finance +16
The ICTD Government Revenue Dataset
Wilson Prichard, Alex Cobham, Andrew Goodall · SSRN Electronic Journal · 2014 · 192 citations · Full text
Using data mining technique to enhance tax evasion detection performance
Roung-Shiunn Wu, Chin S. Ou, Hui-ying Lin et al. · Expert Systems with Applications · 2012 · 112 citations
Law, Data Science, Data Mining +6
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87

Xi'an Jiaotong University
Xi'an, China
5 h-index
21 publications
806 citations
New York State Department of State
Albany, United States
2 h-index
6 publications
270 citations

University of Modena and Reggio Emilia
Modena, Italy
2 h-index
2 publications
94 citations
IBM (United States)
Armonk, United States
2 h-index
16 publications
720 citations
London School of Economics and Political Science
London, United Kingdom
2 h-index
2 publications
105 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
350 citations
Wayne State University
Detroit, United States
2 h-index
2 publications
90 citations

Bank of Italy
Rome, Italy
2 h-index
8 publications
420 citations
1–8 of 87
4 publications · 275 citations
4
h-index
5 publications · 100 citations
4
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Repository · 4 publications · 273 citations
4
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Repository · 3 publications · 70 citations
3
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2 publications · 89 citations
2
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1–5