Samir Bennani

155 total papers · 847 total citations
99 papers, 509 citations indexed

About

Samir Bennani is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Samir Bennani has authored 99 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Science Applications, 36 papers in Information Systems and 34 papers in Artificial Intelligence. Recurrent topics in Samir Bennani's work include Online Learning and Analytics (37 papers), Intelligent Tutoring Systems and Adaptive Learning (15 papers) and Innovative Teaching and Learning Methods (14 papers). Samir Bennani is often cited by papers focused on Online Learning and Analytics (37 papers), Intelligent Tutoring Systems and Adaptive Learning (15 papers) and Innovative Teaching and Learning Methods (14 papers). Samir Bennani collaborates with scholars based in Morocco, Netherlands and United Kingdom. Samir Bennani's co-authors include Mohammed Khalidi Idrissi, Nour-eddine El Faddouli, Yousra Chtouki, Hamid Harroud, Abdelilah Maach, Luca Massotti, Finn Ankersen, Prathyush P. Menon, Pierluigi Silvestrin and Declan G. Bates and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and Simulation & Gaming.

In The Last Decade

Samir Bennani

91 papers receiving 475 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Samir Bennani	211	150	144	141	94	99	509
Maomi Ueno	184 0.9×	186 1.2×	264 1.8×	87 0.6×	68 0.7×	99	555
Panagiotis Zervas	221 1.0×	211 1.4×	77 0.5×	128 0.9×	88 0.9×	79	588
Konstantinos Τ. Kotsis	116 0.5×	76 0.5×	74 0.5×	275 2.0×	165 1.8×	152	575
Gordon McCalla	227 1.1×	198 1.3×	281 2.0×	99 0.7×	118 1.3×	34	614
Andreas Schmidt	96 0.5×	115 0.8×	134 0.9×	61 0.4×	70 0.7×	52	545
Ricardo Conejo	263 1.2×	206 1.4×	281 2.0×	103 0.7×	129 1.4×	48	570
Fattaneh Taghiyareh	112 0.5×	133 0.9×	140 1.0×	75 0.5×	120 1.3×	90	472
Carla Limongelli	285 1.4×	188 1.3×	235 1.6×	93 0.7×	123 1.3×	57	573
Mengxiao Zhu	148 0.7×	69 0.5×	170 1.2×	170 1.2×	155 1.6×	41	541
Toshio Okamoto	142 0.7×	187 1.2×	110 0.8×	93 0.7×	139 1.5×	81	447

Countries citing papers authored by Samir Bennani

Since Specialization

Citations

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

Fields of papers citing papers by Samir Bennani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samir Bennani

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

All Works

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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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