Rafik Braham

500 citations
62 papers · 344 · h-index 11

Impact in

Papers in

Rafik Braham

56 papers receiving 318 citations

Peers

Rafik Braham
Comparison fields: 5 of 54
  • Computer Science Applications 119
  • Information Systems 107
  • Developmental and Educational Psychology 48
  • Computer Networks and Communications 76
  • Artificial Intelligence 97
Replace Kejiang Xiao with:
Kejiang Xiao China
Jun‐Ming Su Taiwan
Muztaba Fuad United States
Felipe Restrepo‐Calle Colombia
Jeremy Warner United States
Juan Pablo de Castro Fernández Spain
Sanja Maravić Čisar Serbia
Jia‐Sheng Heh Taiwan
Shih-Yeh Chen Taiwan
Bin Hou China
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Citations per field
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Citations per year

Countries citing papers authored by Rafik Braham

Since Specialization
Citations

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

Fields of papers citing papers by Rafik Braham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Rafik Braham, 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 Rafik Braham Line = papers co-authored together Rafik Braham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201719
2 201917
3 201716
4 201814
5 200814
6
An Assessment Framework for eLearning in the Semantic Web
200413
7 202013
8 200813
9 201710
10 201910
11 201710
12
A Generic Framework for Assessment in Adaptive Educational Hypermedia.
20049
13 20149
14 20149
15 20219
16 20138
17 20178
18 20098
19 20248
20 20137

About Rafik Braham

Rafik Braham is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 344 indexed citations. Recurring topics across this work include Open Education and E-Learning (11 papers), Educational Technology and Assessment (10 papers), Autonomous Vehicle Technology and Safety (9 papers), Wireless Body Area Networks (8 papers), Online Learning and Analytics (8 papers), Context-Aware Activity Recognition Systems (7 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). The work is most often cited by research in Computer Science Applications (119 citations), Information Systems (107 citations), Developmental and Educational Psychology (48 citations), Computer Networks and Communications (76 citations) and Artificial Intelligence (97 citations). Rafik Braham has collaborated with scholars based in Tunisia, Saudi Arabia and United States. Frequent co-authors include Lilia Cheniti‐Belcadhi, Nicola Henze, Abdelfettah Belghith, Ala Al‐Fuqaha, Asma Cherif, Wolfgang Nejdl, J.O. Hamblen, Amine Dhraief, Hassan Mathkour and Maha Khemaja. Their work appears in journals such as Interaction design & architecture(s), International Journal of Human Capital and Information Technology Professionals, Neural Networks, Computer Applications in Engineering Education and IEEE Access.

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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