Mohamed Khaldi

107 papers receiving 689 citations

Mohamed Khaldi's Hit Papers

Enhancing the prediction of student performance based on the machine learning XGBoost algorithm 2021 · 258 citations
2580+1+3Years since publication50100150200250

Peers

Mohamed Khaldi
Comparison fields: 5 of 125
  • Computer Science Applications 171
  • Developmental and Educational Psychology 73
  • Health Information Management 24
  • Artificial Intelligence 160
  • Pathology and Forensic Medicine 73
Replace Juan Manuel Carrillo de Gea with:
Juan Manuel Carrillo de Gea Spain
David B. Levine United States
Luger Germany
Dragica Radosav Serbia
Wolfgang Pohl Austria
Adel Khelifi United Arab Emirates
Chih‐Hung Chung Taiwan
Juanjuan Fan United States
Junhang Zhang China
Mario A. Bochicchio Italy
Mohamed Khaldi relative to Juan Manuel Carrillo de Gea Spain Juan Manuel Carrillo de Gea's profile →
Citations per field
00.5×6.1×
Juan Manuel Carrillo de Gea · 1×
Citations per year

Countries citing papers authored by Mohamed Khaldi

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Khaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohamed Khaldi, 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 Mohamed Khaldi Line = papers co-authored together Mohamed Khaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhancing the prediction of student performance based on the machine learning XGBoost algorithm
Hit paper breakdown →
2021258
2 200059
3 202046
4 199920
5
Intrasphenoidal rathke cleft cyst.
200615
6 201214
7 200713
8 201411
9 200810
10
Primary central nervous system malignant melanoma: report of 5 cases.
200710
11 20169
12
Learner Behaviour Analysis through Eye Tracking
20129
13 20238
14 20208
15
[Cerebral aspergillotic granuloma. Apropos of a case and a review of the literature].
19908
16 20077
17 20087
18
Towards Probabilistic Ontology based on Bayesian Networks
20147
19
Intracerebellar granulocytic sarcoma. A case report.
20056
20 20196

About Mohamed Khaldi

Mohamed Khaldi is a scholar working on Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Information Systems and Education, having authored 120 papers that have together received 728 indexed citations. Recurring topics across this work include Online Learning and Analytics (29 papers), Intelligent Tutoring Systems and Adaptive Learning (19 papers), E-Learning and Knowledge Management (16 papers), Open Education and E-Learning (11 papers), Innovative Teaching and Learning Methods (10 papers), Learning Styles and Cognitive Differences (9 papers), Glioma Diagnosis and Treatment (9 papers) and Online and Blended Learning (7 papers). The work is most often cited by research in Computer Science Applications (171 citations), Developmental and Educational Psychology (73 citations), Health Information Management (24 citations), Artificial Intelligence (160 citations) and Pathology and Forensic Medicine (73 citations). Mohamed Khaldi has collaborated with scholars based in Morocco, Tunisia and Brazil. Frequent co-authors include Sarar Mohamed, Hafedh Jemel, Nidhameddine Kchir, Mohamed Erradi, Mohamed Lazaar, Slim Haouet, Amina Mekni, Rommel N. Carvalho, Inès Chelly and Sandra Amor. Their work appears in journals such as International Journal of Emerging Technologies in Learning (iJET), Journal of Neuroradiology, Computational Economics, Education and Information Technologies and Child s Nervous System.

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.

Explore authors with similar magnitude of impact