| Title |
Robust optimization – methodology and applications
|
|---|---|
| Published in |
Mathematical Programming, May 2002
|
| DOI | 10.1007/s101070100286 |
| Authors |
Aharon Ben-Tal, Arkadi Nemirovski |
Mendeley readers
The data shown below were compiled from readership statistics for 691 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 2% |
| Germany | 9 | 1% |
| France | 4 | <1% |
| China | 4 | <1% |
| Turkey | 3 | <1% |
| Spain | 3 | <1% |
| Japan | 3 | <1% |
| Malaysia | 2 | <1% |
| Brazil | 2 | <1% |
| Other | 16 | 2% |
| Unknown | 634 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 218 | 32% |
| Student > Master | 97 | 14% |
| Researcher | 79 | 11% |
| Student > Doctoral Student | 43 | 6% |
| Professor > Associate Professor | 38 | 5% |
| Other | 95 | 14% |
| Unknown | 121 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 261 | 38% |
| Computer Science | 60 | 9% |
| Mathematics | 59 | 9% |
| Business, Management and Accounting | 58 | 8% |
| Economics, Econometrics and Finance | 20 | 3% |
| Other | 73 | 11% |
| Unknown | 160 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2015.
All research outputs
#3,275,348
of 22,811,321 outputs
Outputs from Mathematical Programming
#22
of 677 outputs
Outputs of similar age
#7,133
of 120,879 outputs
Outputs of similar age from Mathematical Programming
#1
of 4 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 677 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 120,879 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them