Maha Khemaja
Impact in
- Transportation top 10%
- Human Mobility and Location-Based Analysis
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
-
- Semantic Web and Ontologies 7
- Intelligent Tutoring Systems and Adaptive Learning 5
-
- Service-Oriented Architecture and Web Services 5
- Co-authors
- Félix Buendía (9 shared papers)Mourad Abed (3 shared papers)Káthia Marçal de Oliveira (2 shared papers)Faı̈ez Gargouri (4 shared papers)Sami Faïz (6 shared papers)Maxime Lefrançois (1 shared paper)Sonia Ayachi Ghannouchi (1 shared paper)Rafik Braham (1 shared paper)
In The Last Decade
Maha Khemaja
37 papers receiving 189 citations
Peers
Comparison fields: 5 of 58
- Transportation 31
- Computer Science Applications 24
- Information Systems 71
- Human-Computer Interaction 17
- Media Technology 25
Countries citing papers authored by Maha Khemaja
This map shows the geographic impact of Maha Khemaja'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 Maha Khemaja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Khemaja more than expected).
Fields of papers citing papers by Maha Khemaja
This network shows the impact of papers produced by Maha Khemaja. 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 Maha Khemaja. The network helps show where Maha Khemaja may publish in the future.
Co-authors
The 8 scholars most cited alongside Maha Khemaja, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 41 | |
| 2 | Towards Situation Driven Mobile Tutoring System for Learning Languages and Communication Skills: Application to Users with Specific Needs | 2016 | 19 |
| 3 | 2021 | 19 | |
| 4 | 2017 | 14 | |
| 5 | 2010 | 13 | |
| 6 | 2019 | 8 | |
| 7 | 2021 | 7 | |
| 8 | 2014 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2014 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2013 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2014 | 3 |
About Maha Khemaja
Maha Khemaja is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computer Science Applications, having authored 39 papers that have together received 203 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Semantic Web and Ontologies (7 papers), Service-Oriented Architecture and Web Services (5 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Educational Games and Gamification (4 papers), IoT and Edge/Fog Computing (4 papers), Distributed and Parallel Computing Systems (4 papers) and Smart Cities and Technologies (4 papers). The work is most often cited by research in Transportation (31 citations), Computer Science Applications (24 citations), Information Systems (71 citations), Human-Computer Interaction (17 citations) and Media Technology (25 citations). Maha Khemaja has collaborated with scholars based in Tunisia, Spain and France. Frequent co-authors include Félix Buendía, Mourad Abed, Káthia Marçal de Oliveira, Faı̈ez Gargouri, Sami Faïz, Maxime Lefrançois, Sonia Ayachi Ghannouchi and Rafik Braham. Their work appears in journals such as Applied Sciences, International Journal of Human Capital and Information Technology Professionals, IEEE Sensors Journal, Educational Technology & Society and Neural Computing and Applications.
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.