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Mendeley readers
Chapter title |
Machine Learning and Evolutionary Techniques in Interplanetary Trajectory Design
|
---|---|
Chapter number | 8 |
Book title |
Modeling and Optimization in Space Engineering
|
Published by |
Springer, Cham, January 2019
|
DOI | 10.1007/978-3-030-10501-3_8 |
Book ISBNs |
978-3-03-010500-6, 978-3-03-010501-3
|
Authors |
Dario Izzo, Christopher Iliffe Sprague, Dharmesh Vijay Tailor, Izzo, Dario, Sprague, Christopher Iliffe, Tailor, Dharmesh Vijay |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 106 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 25% |
Student > Master | 21 | 20% |
Student > Bachelor | 9 | 8% |
Researcher | 8 | 8% |
Other | 6 | 6% |
Other | 10 | 9% |
Unknown | 26 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 47 | 44% |
Computer Science | 12 | 11% |
Earth and Planetary Sciences | 5 | 5% |
Physics and Astronomy | 3 | 3% |
Mathematics | 3 | 3% |
Other | 3 | 3% |
Unknown | 33 | 31% |