Ali Berrichi

403 total citations
11 papers, 285 citations indexed

About

Ali Berrichi is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ali Berrichi has authored 11 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 5 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Ali Berrichi's work include Scheduling and Optimization Algorithms (6 papers), Assembly Line Balancing Optimization (4 papers) and Advanced Clustering Algorithms Research (3 papers). Ali Berrichi is often cited by papers focused on Scheduling and Optimization Algorithms (6 papers), Assembly Line Balancing Optimization (4 papers) and Advanced Clustering Algorithms Research (3 papers). Ali Berrichi collaborates with scholars based in Algeria and France. Ali Berrichi's co-authors include Farouk Yalaoui, Mohamed Mezghiche, Lionel Amodeo, Ėric Châtelet, Abdelouahab Moussaouı and Ali Belgacem and has published in prestigious journals such as Computers & Operations Research, The International Journal of Advanced Manufacturing Technology and Journal of Intelligent Manufacturing.

In The Last Decade

Ali Berrichi

11 papers receiving 272 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ali Berrichi Algeria 5 205 77 42 42 29 11 285
François Berthaut Canada 7 184 0.9× 62 0.8× 58 1.4× 59 1.4× 25 0.9× 12 348
Weiwei Cui China 10 312 1.5× 85 1.1× 66 1.6× 50 1.2× 17 0.6× 22 436
Adar Kalir United States 12 344 1.7× 41 0.5× 23 0.5× 58 1.4× 23 0.8× 45 395
George Kozanidis Greece 13 140 0.7× 100 1.3× 33 0.8× 52 1.2× 7 0.2× 27 356
Ross J.W. James New Zealand 8 226 1.1× 86 1.1× 21 0.5× 90 2.1× 25 0.9× 14 334
A. Andijani Saudi Arabia 11 151 0.7× 65 0.8× 66 1.6× 134 3.2× 13 0.4× 16 323
C.-T. Kuo United States 9 368 1.8× 46 0.6× 15 0.4× 170 4.0× 20 0.7× 15 474
Christoph Roser Japan 13 372 1.8× 31 0.4× 37 0.9× 124 3.0× 18 0.6× 33 514
Changchao Gu China 11 119 0.6× 150 1.9× 42 1.0× 52 1.2× 26 0.9× 19 337
Giovanni Lugaresi Italy 11 275 1.3× 30 0.4× 17 0.4× 81 1.9× 11 0.4× 33 341

Countries citing papers authored by Ali Berrichi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Berrichi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Berrichi

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Berrichi. A scholar is included among the top collaborators of Ali Berrichi 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 Ali Berrichi. Ali Berrichi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
2.
Belgacem, Ali, et al.. (2023). Machine Learning in the Medical Field: A Comprehensive Overview. 76. 103–108. 1 indexed citations
3.
Berrichi, Ali, et al.. (2021). Multi-Objective Artificial Bee Colony Algorithm for Parameter-Free Neighborhood-Based Clustering. International Journal of Swarm Intelligence Research. 12(4). 186–204. 1 indexed citations
4.
Berrichi, Ali, et al.. (2020). Branch and bound algorithm for identical parallel machine scheduling problem to maximise system availability. International Journal of Manufacturing Research. 15(3). 199–199. 2 indexed citations
5.
Berrichi, Ali, et al.. (2020). Gabriel graph-based connectivity and density for internal validity of clustering. Progress in Artificial Intelligence. 9(3). 221–238. 4 indexed citations
6.
Berrichi, Ali, et al.. (2018). Minimize total tardiness and machine unavailability on single machine scheduling problem: bi-objective branch and bound algorithm. Operational Research. 20(3). 1763–1789. 7 indexed citations
7.
Berrichi, Ali, et al.. (2018). Branch and Bound algorithm for identical parallel machine scheduling problem to maximize system availability. International Journal of Manufacturing Research. 15(3). 1–1. 1 indexed citations
8.
Berrichi, Ali, et al.. (2017). Variable neighborhood search for automatic density-based clustering. 3 indexed citations
9.
Berrichi, Ali & Farouk Yalaoui. (2013). Efficient bi-objective ant colony approach to minimize total tardiness and system unavailability for a parallel machine scheduling problem. The International Journal of Advanced Manufacturing Technology. 68(9-12). 2295–2310. 23 indexed citations
10.
Berrichi, Ali, Farouk Yalaoui, Lionel Amodeo, & Mohamed Mezghiche. (2009). Bi-Objective Ant Colony Optimization approach to optimize production and maintenance scheduling. Computers & Operations Research. 37(9). 1584–1596. 133 indexed citations
11.
Berrichi, Ali, Lionel Amodeo, Farouk Yalaoui, Ėric Châtelet, & Mohamed Mezghiche. (2008). Bi-objective optimization algorithms for joint production and maintenance scheduling: application to the parallel machine problem. Journal of Intelligent Manufacturing. 20(4). 389–400. 108 indexed citations

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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