Ammar Oulamara

22 papers receiving 314 citations

Peers

Ammar Oulamara
Comparison fields: 5 of 21
  • Industrial and Manufacturing Engineering 330
  • Computer Networks and Communications 101
  • Control and Systems Engineering 22
  • Artificial Intelligence 20
  • Automotive Engineering 9
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Jianyou Xu China
Atabak Elmi Türkiye
Houssem Eddine Nouri Tunisia
Shengluo Yang China
Cemal Özgüven Türkiye
Yoshiro Ikura United States
Jinghe Sun China
Yakov M. Shafransky Belarus
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Countries citing papers authored by Ammar Oulamara

Since Specialization
Citations

This map shows the geographic impact of Ammar Oulamara'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 Ammar Oulamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ammar Oulamara more than expected).

Fields of papers citing papers by Ammar Oulamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ammar Oulamara. 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 Ammar Oulamara. The network helps show where Ammar Oulamara may publish in the future.

Co-authorship network of co-authors of Ammar Oulamara

This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Oulamara. A scholar is included among the top collaborators of Ammar Oulamara 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 Ammar Oulamara. Ammar Oulamara 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 1
2 10
3 10
4 7
5 7
6 10
7 7
8 8
9 31
10 14
11
Flowshop hybride avec machines à traitement par batch et compatibilité entre les tâches
1
12 1
13 2
14 23
15 37
16 12
17
Scheduling unit time operation permutation flowshop with minimal time lags
1
18
Two-Machine No-Wait Flowshop Scheduling Problem to Minimize Maximum Lateness with Separate Setup and Removal Times
7
19 81
20 2

About Ammar Oulamara

Ammar Oulamara is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 23 papers that have together received 344 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (21 papers), Advanced Manufacturing and Logistics Optimization (16 papers) and Optimization and Search Problems (12 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (330 citations), Computer Networks and Communications (101 citations) and Management Information Systems (9 citations). Ammar Oulamara has collaborated with scholars based in France, Belarus and Algeria. Frequent co-authors include Julien Fondrevelle, Marie‐Claude Portmann, Ameur Soukhal, Patrick Martineau, Mikhail Y. Kovalyov, Mourad Boudhar, Ali Allahverdi, Gerd Finke, Wahiba Ramdane Cherif-Khettaf and Junqiang Wang. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production Research.

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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