Advances in Cryptology - EUROCRYPT 2004
Springer Science & Business Media
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Timeline
X Demographics
Mendeley readers
| Chapter title |
Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data
|
|---|---|
| Chapter number | 31 |
| Book title |
Advances in Cryptology - EUROCRYPT 2004
|
| Published by |
Springer, Berlin, Heidelberg, May 2004
|
| DOI | 10.1007/978-3-540-24676-3_31 |
| Book ISBNs |
978-3-54-021935-4, 978-3-54-024676-3
|
| Authors |
Yevgeniy Dodis, Leonid Reyzin, Adam Smith, Dodis, Yevgeniy, Reyzin, Leonid, Smith, Adam |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 7% |
| Switzerland | 1 | 7% |
| Tanzania, United Republic of | 1 | 7% |
| Germany | 1 | 7% |
| France | 1 | 7% |
| Hong Kong | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 3 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Germany | 1 | <1% |
| Malaysia | 1 | <1% |
| Switzerland | 1 | <1% |
| India | 1 | <1% |
| France | 1 | <1% |
| Unknown | 131 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 33% |
| Student > Master | 19 | 14% |
| Researcher | 13 | 9% |
| Student > Postgraduate | 8 | 6% |
| Student > Bachelor | 6 | 4% |
| Other | 18 | 13% |
| Unknown | 29 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 69 | 50% |
| Engineering | 24 | 17% |
| Physics and Astronomy | 3 | 2% |
| Business, Management and Accounting | 2 | 1% |
| Mathematics | 2 | 1% |
| Other | 5 | 4% |
| Unknown | 33 | 24% |