Lamia Berrah

41 papers receiving 624 citations

Peers

Lamia Berrah
Comparison fields: 5 of 84
  • Management Information Systems 224
  • Management Science and Operations Research 271
  • Strategy and Management 165
  • Industrial and Manufacturing Engineering 97
  • Statistics, Probability and Uncertainty 66
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Hossein Safari Iran
Ferhan Çebi Türkiye
Erhan Bozdag Türkiye
Seyed Farid Mousavi Iran
M. Ahsan Akhtar Hasin Bangladesh
Reay‐Chen Wang Taiwan
Hayri Baraçlı Türkiye
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Citations per year

Countries citing papers authored by Lamia Berrah

Since Specialization
Citations

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

Fields of papers citing papers by Lamia Berrah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Lamia Berrah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lamia Berrah Line = papers co-authored together Lamia Berrah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006101
2 200785
3 200066
4 200654
5 200448
6 202046
7 200040
8 201929
9 202228
10 201124
11 202115
12 201815
13 202214
14 202414
15 201310
16 20069
17 20137
18 20097
19 20056
20 20125

About Lamia Berrah

Lamia Berrah is a scholar working on Management Science and Operations Research, Management Information Systems, Strategy and Management, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 47 papers that have together received 677 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (23 papers), Quality and Supply Management (16 papers), Sustainable Supply Chain Management (7 papers), Digital Transformation in Industry (7 papers), Supply Chain Resilience and Risk Management (6 papers), Fuzzy Systems and Optimization (5 papers), Fuzzy Logic and Control Systems (4 papers) and Accounting and Organizational Management (4 papers). The work is most often cited by research in Management Information Systems (224 citations), Management Science and Operations Research (271 citations), Strategy and Management (165 citations), Industrial and Manufacturing Engineering (97 citations) and Statistics, Probability and Uncertainty (66 citations). Lamia Berrah has collaborated with scholars based in France, Canada and Morocco. Frequent co-authors include Vincent Clivillé, Gilles Mauris, Laurent Foulloy, Jacky Montmain, Martin Thebault, François Vernadat, Gilles Desthieux, Simon Barnabé, Jean‐François Audy and Benoı̂t Stutz. Their work appears in journals such as Computers in Industry, International Journal of Production Research, Journal of Intelligent Manufacturing, Computers & Industrial Engineering and Sustainability.

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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