Mohamed Khaldi

1.5k citations
171 papers · 925 · 1 hit paper · h-index 11

Impact in

Papers in

Mohamed Khaldi

149 papers receiving 873 citations

Mohamed Khaldi's Hit Papers

Enhancing the prediction of student performance based on the machine learning XGBoost algorithm 2021 · 267 citations
2670+1+3Years since publication50100150200250

Peers

Mohamed Khaldi
Comparison fields: 5 of 128
  • Computer Science Applications 276
  • Developmental and Educational Psychology 140
  • Information Systems 147
  • Artificial Intelligence 209
  • Health Information Management 25
Replace Juan Manuel Carrillo de Gea with:
Juan Manuel Carrillo de Gea Spain
David B. Levine United States
Chih‐Hung Chung Taiwan
David Fuller United States
Dragica Radosav Serbia
Xinli Zhang China
Luger Germany
Antonietta Grasso France
Mirka Saarela Finland
Wolfgang Pohl Austria
Mohamed Khaldi relative to Juan Manuel Carrillo de Gea Spain Juan Manuel Carrillo de Gea's profile →
Citations per field
00.5×3.9×
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 171 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 →
2021267
2 200066
3 202049
4 199923
5
Intrasphenoidal rathke cleft cyst.
200619
6 201218
7 201414
8 200713
9 200811
10 202310
11 201610
12 201610
13
Learner Behaviour Analysis through Eye Tracking
201210
14
Primary central nervous system malignant melanoma: report of 5 cases.
200710
15 20199
16
Towards Probabilistic Ontology based on Bayesian Networks
20149
17 20208
18 20208
19
[Cerebral aspergillotic granuloma. Apropos of a case and a review of the literature].
19908
20 20077

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 171 papers that have together received 925 indexed citations. Recurring topics across this work include Online Learning and Analytics (50 papers), E-Learning and Knowledge Management (28 papers), Intelligent Tutoring Systems and Adaptive Learning (27 papers), Innovative Teaching and Learning Methods (23 papers), Online and Blended Learning (20 papers), Open Education and E-Learning (16 papers), Learning Styles and Cognitive Differences (14 papers) and Glioma Diagnosis and Treatment (9 papers). The work is most often cited by research in Computer Science Applications (276 citations), Developmental and Educational Psychology (140 citations), Information Systems (147 citations), Artificial Intelligence (209 citations) and Health Information Management (25 citations). Mohamed Khaldi has collaborated with scholars based in Morocco, Tunisia and Brazil. Frequent co-authors include Mohamed Erradi, Sarar Mohamed, Hafedh Jemel, Mohamed Lazaar, Nidhameddine Kchir, Rommel N. Carvalho, Slim Haouet, Amina Mekni, Hammouda Boussen and Sandra Amor. Their work appears in journals such as International Journal of Emerging Technologies in Learning (iJET), Child s Nervous System, Journal of Neuroradiology, Education and Information Technologies and Computational Economics.

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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