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Mendeley readers
| Title |
A sigma-lognormal model-based approach to generating large synthetic online handwriting sample databases
|
|---|---|
| Published in |
International Journal on Document Analysis and Recognition (IJDAR), May 2017
|
| DOI | 10.1007/s10032-017-0287-5 |
| Authors |
Ujjwal Bhattacharya, Réjean Plamondon, Souvik Dutta Chowdhury, Pankaj Goyal, Swapan K. Parui |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Professor | 2 | 10% |
| Unspecified | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 55% |
| Unspecified | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 6 | 30% |