Mahnane Lamia

406 total citations
32 papers, 229 citations indexed

About

Mahnane Lamia is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Information Systems. According to data from OpenAlex, Mahnane Lamia has authored 32 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Developmental and Educational Psychology, 12 papers in Computer Science Applications and 11 papers in Information Systems. Recurrent topics in Mahnane Lamia's work include Learning Styles and Cognitive Differences (12 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (8 papers). Mahnane Lamia is often cited by papers focused on Learning Styles and Cognitive Differences (12 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (8 papers). Mahnane Lamia collaborates with scholars based in Algeria and France. Mahnane Lamia's co-authors include Mohamed Hafidi, Philippe Trigano and Farid Naït‐Abdesselam and has published in prestigious journals such as Computers & Education, Educational Technology & Society and Education and Information Technologies.

In The Last Decade

Mahnane Lamia

31 papers receiving 220 citations

Peers

Mahnane Lamia
Comparison fields: 5 of 50
  • Education 99
  • Information Systems 86
  • Computer Science Applications 76
  • Artificial Intelligence 69
  • Developmental and Educational Psychology 34
Replace Mohamed Hafidi with:
Mohamed Hafidi Algeria
Mohamed Erradi Morocco
María José Casany Spain
Enric Mor Spain
María-Ribera Sancho Spain
Juha Helminen Finland
Nisha S. Raj India
Demetrio A. Ovalle Colombia
Essi Isohanni Finland
Cinda Heeren United States
Mohamed Hafidi Algeria View profile →
Citations per field, relative to Mahnane Lamia
Mahnane Lamia · 1×
Citations per year, relative to Mahnane Lamia
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Countries citing papers authored by Mahnane Lamia

Since Specialization
Citations

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

Fields of papers citing papers by Mahnane Lamia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahnane Lamia

This figure shows the co-authorship network connecting the top 25 collaborators of Mahnane Lamia. A scholar is included among the top collaborators of Mahnane Lamia 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 Mahnane Lamia. Mahnane Lamia 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
# Work Indexed citations
1 2
2 7
3 2
4 18
5 2
6 1
7 2
8 2
9 0
10
Comparative Study of the Context-Aware Adaptive M-Learning Systems.
1
11
Personalized Adaptive Content System for Context-Aware Mobile.
1
12 2
13 110
14
Recommending Learning Activities in Social Network Using Data Mining Algorithms.
5
15 4
16 1
17 1
18 1
19 4
20 3

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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