Tarik Agouti

777 total citations
37 papers, 547 citations indexed

About

Tarik Agouti is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Tarik Agouti has authored 37 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 13 papers in Artificial Intelligence and 12 papers in Management Science and Operations Research. Recurrent topics in Tarik Agouti's work include Multi-Criteria Decision Making (12 papers), Data Mining Algorithms and Applications (10 papers) and Rough Sets and Fuzzy Logic (7 papers). Tarik Agouti is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Data Mining Algorithms and Applications (10 papers) and Rough Sets and Fuzzy Logic (7 papers). Tarik Agouti collaborates with scholars based in Morocco, Sweden and France. Tarik Agouti's co-authors include Abdessadek Tikniouine, Omar Boutkhoum, Mohamed Hanine, Addi Ait‐Mlouk, Mohamed El Adnani, Salah Er‐Raki, Laurent Drapeau, Mohamed Hakim Kharrou, Michel Le Page and Salwa Belaqziz and has published in prestigious journals such as Expert Systems with Applications, Computers and Electronics in Agriculture and SpringerPlus.

In The Last Decade

Tarik Agouti

31 papers receiving 519 citations

Peers

Tarik Agouti

MSOR

SM

IS

BC

AI

Omar Boutkhoum Morocco

Mohamed Hanine Morocco

Mohammad Fallah Iran

Wenxue Ran China

Ali Reza Afshari Iran

Quang Hung Vietnam

Abdessadek Tikniouine Morocco

Siamak Kheybari Iran

Y. Esra Albayrak Türkiye

G. Nilay Yücenur Türkiye

Omar Boutkhoum Morocco

Tarik Agouti

183 ×1.0

MSOR

111 ×1.3

SM

98 ×1.1

IS

48 ×0.6

BC

82 ×1.2

AI

Citations per year, relative to Tarik Agouti Tarik Agouti (= 1×) peers Omar Boutkhoum

Countries citing papers authored by Tarik Agouti

Since Specialization

Citations

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

Fields of papers citing papers by Tarik Agouti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarik Agouti

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

All Works

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20 of 20 papers shown

1.

Lett, Christophe, et al.. (2025). The Fast-Greedy algorithm reveals hourly fluctuations and associated risks of shark communities in a South Pacific city. Ecological Informatics. 90. 103263–103263.

2.

Hanine, Mohamed, et al.. (2025). Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning. Applied Network Science. 10(1).

3.

Ait‐Mlouk, Addi & Tarik Agouti. (2019). DM-MCDA: A web-based platform for data mining and multiple criteria decision analysis: A case study on road accident. SoftwareX. 10. 100323–100323. 12 indexed citations

4.

Ait‐Mlouk, Addi, et al.. (2017). Mining and prioritization of association rules for big data: multi-criteria decision analysis approach. Journal Of Big Data. 4(1). 20 indexed citations

5.

Ait‐Mlouk, Addi, et al.. (2017). Application of Big Data Analysis with Decision Treefor Road Accident. Indian Journal of Science and Technology. 10(29). 1–10. 6 indexed citations

6.

Ait‐Mlouk, Addi, et al.. (2017). An improved approach for association rule mining using a multi-criteria decision support system: a case study in road safety. European Transport Research Review. 9(3). 30 indexed citations

7.

Agouti, Tarik, et al.. (2017). Multi-criteria decisional approach for extracting relevant association rules. International Journal of Computational Science and Engineering. 15(3/4). 188–188. 1 indexed citations

8.

Agouti, Tarik, et al.. (2017). Multi-criteria decisional approach for extracting relevant association rules. International Journal of Computational Science and Engineering. 15(3/4). 188–188. 1 indexed citations

9.

Hanine, Mohamed, Omar Boutkhoum, Abdessadek Tikniouine, & Tarik Agouti. (2016). Comparison of fuzzy AHP and fuzzy TODIM methods for landfill location selection. SpringerPlus. 5(1). 501–501. 54 indexed citations

10.

Boutkhoum, Omar, et al.. (2016). Multi-criteria decision support framework for sustainable implementation of effective green supply chain management practices. SpringerPlus. 5(1). 664–664. 22 indexed citations

11.

Ait‐Mlouk, Addi, et al.. (2016). Multi-agent-based modeling for extracting relevant association rules using a multi-criteria analysis approach. Vietnam Journal of Computer Science. 3(4). 235–245. 6 indexed citations

12.

Hanine, Mohamed, Omar Boutkhoum, Abdessadek Tikniouine, & Tarik Agouti. (2016). Application of an integrated multi-criteria decision making AHP-TOPSIS methodology for ETL software selection. SpringerPlus. 5(1). 263–263. 118 indexed citations

13.

Hanine, Mohamed, Omar Boutkhoum, Abdessadek Tikniouine, & Tarik Agouti. (2016). A new web-based framework development for fuzzy multi-criteria group decision-making. SpringerPlus. 5(1). 601–601. 16 indexed citations

14.

Hanine, Mohamed, Omar Boutkhoum, Tarik Agouti, & Abdessadek Tikniouine. (2016). A new integrated methodology using modified Delphi-fuzzy AHP-PROMETHEE for Geospatial Business Intelligence selection. Information Systems and e-Business Management. 15(4). 897–925. 19 indexed citations

15.

Agouti, Tarik, et al.. (2016). ISA-based model for risk assessment in cloud computing environment. 10. 377–383. 2 indexed citations

16.

Boutkhoum, Omar, Mohamed Hanine, Tarik Agouti, & Abdessadek Tikniouine. (2015). An improved hybrid multi-criteria/multidimensional model for strategic industrial location selection: Casablanca industrial zones as a case study. SpringerPlus. 4(1). 628–628. 24 indexed citations

17.

Belaqziz, Salwa, Sylvain Mangiarotti, Michel Le Page, et al.. (2014). Irrigation scheduling of a classical gravity network based on the Covariance Matrix Adaptation – Evolutionary Strategy algorithm. Computers and Electronics in Agriculture. 102. 64–72. 38 indexed citations

18.

Boutkhoum, Omar, Mohamed Hanine, Abdessadek Tikniouine, & Tarik Agouti. (2013). Integration approach of multicriteria analysis to OLAP systems: Multidimensional model. 1–4.

19.

Agouti, Tarik. (2009). Vers une intégration des systèmes d’information géographiques et de l’analyse multicritère pour l’aide à la décision à référence spatiale. 2 indexed citations

20.

Agouti, Tarik, et al.. (2008). A hybrid model of mathematical programming and analytic hierarchy process for the GISMR: the industrial localization. WSEAS Transactions on Computers archive. 3(4). 234–241. 2 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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