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Robust and Online Large-Scale Optimization

Overview of attention for book
Cover of 'Robust and Online Large-Scale Optimization'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Concept of Recoverable Robustness, Linear Programming Recovery, and Railway Applications
  3. Altmetric Badge
    Chapter 2 Recoverable Robustness in Shunting and Timetabling
  4. Altmetric Badge
    Chapter 3 Light Robustness
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    Chapter 4 Incentive-Compatible Robust Line Planning
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    Chapter 5 A Bicriteria Approach for Robust Timetabling
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    Chapter 6 Meta-heuristic and Constraint-Based Approaches for Single-Line Railway Timetabling
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    Chapter 7 Engineering Time-Expanded Graphs for Faster Timetable Information
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    Chapter 8 Time-Dependent Route Planning
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    Chapter 9 The Exact Subgraph Recoverable Robust Shortest Path Problem
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    Chapter 10 Efficient Timetable Information in the Presence of Delays
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    Chapter 11 Integrating Robust Railway Network Design and Line Planning under Failures
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    Chapter 12 Effective Allocation of Fleet Frequencies by Reducing Intermediate Stops and Short Turning in Transit Systems
  14. Altmetric Badge
    Chapter 13 Shunting for Dummies: An Introductory Algorithmic Survey
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    Chapter 14 Integrated Gate and Bus Assignment at Amsterdam Airport Schiphol
  16. Altmetric Badge
    Chapter 15 Mining Railway Delay Dependencies in Large-Scale Real-World Delay Data
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    Chapter 16 Rescheduling Dense Train Traffic over Complex Station Interlocking Areas
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    Chapter 17 Online Train Disposition: To Wait or Not to Wait?
  19. Altmetric Badge
    Chapter 18 Disruption Management in Passenger Railway Transportation
Attention for Chapter 1: The Concept of Recoverable Robustness, Linear Programming Recovery, and Railway Applications
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
79 Mendeley
citeulike
1 CiteULike
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Chapter title
The Concept of Recoverable Robustness, Linear Programming Recovery, and Railway Applications
Chapter number 1
Book title
Robust and Online Large-Scale Optimization
Published in
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-05465-5_1
Book ISBNs
978-3-64-205464-8, 978-3-64-205465-5
Authors

Christian Liebchen, Marco Lübbecke, Rolf Möhring, Sebastian Stiller

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Turkey 1 1%
Switzerland 1 1%
France 1 1%
Spain 1 1%
Unknown 73 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 44%
Researcher 10 13%
Professor > Associate Professor 9 11%
Student > Master 9 11%
Student > Doctoral Student 7 9%
Other 8 10%
Unknown 1 1%
Readers by discipline Count As %
Engineering 24 30%
Business, Management and Accounting 15 19%
Mathematics 13 16%
Computer Science 8 10%
Decision Sciences 7 9%
Other 2 3%
Unknown 10 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 March 2017.
All research outputs
#3,734,146
of 9,269,265 outputs
Outputs from Lecture notes in computer science
#2,603
of 6,846 outputs
Outputs of similar age
#56,592
of 179,944 outputs
Outputs of similar age from Lecture notes in computer science
#26
of 88 outputs
Altmetric has tracked 9,269,265 research outputs across all sources so far. This one has received more attention than most of these and is in the 59th percentile.
So far Altmetric has tracked 6,846 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 61% 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 179,944 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.