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X Demographics
Mendeley readers
Chapter title |
Privacy-Preserving Face Recognition
|
---|---|
Chapter number | 14 |
Book title |
Privacy Enhancing Technologies
|
Published by |
Springer, Berlin, Heidelberg, August 2009
|
DOI | 10.1007/978-3-642-03168-7_14 |
Book ISBNs |
978-3-64-203167-0, 978-3-64-203168-7
|
Authors |
Zekeriya Erkin, Martin Franz, Jorge Guajardo, Stefan Katzenbeisser, Inald Lagendijk, Tomas Toft |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Austria | 2 | 1% |
Ireland | 1 | <1% |
Italy | 1 | <1% |
Korea, Republic of | 1 | <1% |
Spain | 1 | <1% |
Germany | 1 | <1% |
Japan | 1 | <1% |
Poland | 1 | <1% |
Other | 0 | 0% |
Unknown | 151 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 29% |
Student > Master | 21 | 13% |
Student > Bachelor | 16 | 10% |
Researcher | 10 | 6% |
Professor > Associate Professor | 7 | 4% |
Other | 19 | 12% |
Unknown | 43 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 87 | 53% |
Engineering | 16 | 10% |
Social Sciences | 3 | 2% |
Mathematics | 2 | 1% |
Business, Management and Accounting | 2 | 1% |
Other | 9 | 5% |
Unknown | 45 | 27% |