Data Flow Mapping
Data Flow Mapping is a systematic method used in privacy auditing to visually represent and analyze the collection, transfer, processing, and storage of personal data across organizational systems, thereby identifying potential privacy risks and ensuring compliance with data protection regulations.
148
Publications
5.8K
Citations
510
Authors
205
Institutions
Publications per year
2017–2026
45
Parents
148
High-speed high-security signatures
Daniel J. Bernstein, Niels Duif, Tanja Lange et al. · Journal of Cryptographic Engineering · 2012 · 514 citations · Full text
Boncheol Gu, A. S. Yoon, Duck‐Ho Bae et al. · ACM SIGARCH Computer Architecture News · 2016 · 196 citations
WISE: business to business e-commerce
Gustavo Alonso, U. Fiedler, Claus Hagen et al. · 1999 · 132 citations
1–5 of 148
510
Ulsan National Institute of Science and Technology, South Korea
3 publications · 49 citations
3
h-index
Institut national de recherche en sciences et technologies du numérique, France
2 publications · 44 citations
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 510
205
University of California, Los Angeles
Los Angeles, United States
6 h-index
10 publications
285 citations
Stanford University
Stanford, United States
4 h-index
7 publications
207 citations
RWTH Aachen University
Aachen, Germany
4 h-index
10 publications
251 citations
Argonne National Laboratory
Lemont, United States
3 h-index
5 publications
96 citations

Rice University
Houston, United States
3 h-index
9 publications
306 citations
University of Washington
Seattle, United States
3 h-index
6 publications
126 citations
KU Leuven
Leuven, Belgium
3 h-index
10 publications
1.7K citations

Pennsylvania State University
State College, United States
3 h-index
12 publications
262 citations
1–8 of 205
3 publications · 245 citations
3
h-index
3 publications · 144 citations
3
h-index
2 publications · 141 citations
2
h-index
2 publications · 66 citations
2
h-index
2 publications · 53 citations
2
h-index
1–5