Big Data in Engineering Applications
Springer Singapore
Title |
Big Data in Engineering Applications
|
---|---|
Published by |
Springer Singapore, June 2018
|
DOI | 10.1007/978-981-10-8476-8 |
ISBNs |
978-9-81-108475-1, 978-9-81-108476-8
|
Editors |
Roy, Sanjiban Sekhar, Samui, Pijush, Deo, Ravinesh, Ntalampiras, Stavros |
Country | Count | As % |
---|---|---|
Spain | 1 | 25% |
Saudi Arabia | 1 | 25% |
Unknown | 2 | 50% |
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 2 | 50% |
Country | Count | As % |
---|---|---|
Unknown | 68 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 18% |
Student > Master | 12 | 18% |
Student > Doctoral Student | 6 | 9% |
Student > Bachelor | 5 | 7% |
Lecturer | 5 | 7% |
Other | 9 | 13% |
Unknown | 19 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 19 | 28% |
Computer Science | 17 | 25% |
Social Sciences | 2 | 3% |
Earth and Planetary Sciences | 2 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 1% |
Other | 4 | 6% |
Unknown | 23 | 34% |