Yves Crama

5.5k citations
124 papers · 3.1k indexed · h-index 31
Topics
Optimization and Packing Problems (34 papers)Advanced Manufacturing and Logistics Optimization (31 papers)Scheduling and Optimization Algorithms (29 papers)

In The Last Decade

Yves Crama

118 papers receiving 2.9k citations

Peers

Yves Crama
Comparison fields: 5 of 126
  • Industrial and Manufacturing Engineering 1.3k
  • Computational Theory and Mathematics 745
  • Artificial Intelligence 608
  • Computer Networks and Communications 382
  • Management Science and Operations Research 371
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Countries citing papers authored by Yves Crama

Since Specialization
Citations

This map shows the geographic impact of Yves Crama's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yves Crama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Crama more than expected).

Fields of papers citing papers by Yves Crama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yves Crama. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yves Crama. The network helps show where Yves Crama may publish in the future.

Co-authorship network of co-authors of Yves Crama

This figure shows the co-authorship network connecting the top 25 collaborators of Yves Crama. A scholar is included among the top collaborators of Yves Crama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yves Crama. Yves Crama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 3
3
Column generation algorithms for the wafer-to-wafer integration problem
0
4
Quadratizations of symmetric pseudo-Boolean functions: sub-linear bounds on the number of auxiliary variables
3
5 31
6 6
7
An adaptive large neighborhood search for a vehicle routing problem with multiple trips and driver shifts
1
8 15
9
Boolean methods in operations research and related areas
6
10 1
11 2
12
Corporate control concentration measurement and firm performance
16
13 20
14
Corporate Governance Structures, Control and Performance in European Markets : A Tale of Two Systems
7
15 1
16
The complexity of scheduling short tasks with few starting times
8
17 3
18 41
19
The Basic Algorithm for Pseudo-Boolean Programming Revisited
5
20 39

About Yves Crama

Yves Crama is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Numerical Analysis, having authored 124 papers that have together received 3.1k indexed citations. Recurring topics across this work include Optimization and Packing Problems (34 papers), Advanced Manufacturing and Logistics Optimization (31 papers) and Scheduling and Optimization Algorithms (29 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.3k citations), Computational Theory and Mathematics (745 citations) and Management Science and Operations Research (371 citations). Yves Crama has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Peter L. Hammer, Joris van de Klundert, Frits Spieksma, Michaël Schyns, Alwin G. Oerlemans, Toshihide Ibaraki, Endre Boros, Antoon Kolen, Eugene Levner and Vladimir Kats. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Annals of the New York Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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