Mohammad Khalil

2.9k citations
82 papers · 1.1k indexed · h-index 18

Mohammad Khalil

73 papers receiving 1.1k citations

Peers

Mohammad Khalil
Comparison fields: 5 of 76
  • Computer Science Applications 722
  • Health Informatics 45
  • Developmental and Educational Psychology 256
  • Education 371
  • Information Systems and Management 68
Replace Linda Corrin with:
Linda Corrin Australia
Zacharoula Papamitsiou Greece
Maren Scheffel Germany
Oleksandra Poquet Australia
Doug Clow United Kingdom
Andy Nguyen Finland
Olga Viberg Sweden
Kimberly E. Arnold United States
Ana‐Elena Guerrero‐Roldán Spain
Owen H.T. Lu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20250
5 20253
6 202410
7 20242
8 20247
9 20241
10 20239
11 202310
12 202310
13 202225
14 202238
15 20226
16 201916
17
Gamification in MOOCs - General Overview
20181
18
Driving Student Motivation in MOOCs through a Conceptual Activity-Motivation Framework
20173
19
What is Learning Analytics about? A Survey of Different Methods Used in 2013-2015
20162
20
Learning Analytics in MOOCs: Can Data Improve Students Retention and Learning?
20165

About Mohammad Khalil

Mohammad Khalil is a scholar working on Computer Science Applications, Health Informatics, Developmental and Educational Psychology, Education and Artificial Intelligence, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Online Learning and Analytics (63 papers), E-Learning and Knowledge Management (20 papers), Online and Blended Learning (11 papers), Privacy-Preserving Technologies in Data (10 papers), Innovative Teaching and Learning Methods (9 papers), Educational Games and Gamification (5 papers), Software System Performance and Reliability (5 papers) and Educational Innovations and Technology (4 papers). The work is most often cited by research in Computer Science Applications (722 citations), Health Informatics (45 citations), Developmental and Educational Psychology (256 citations), Education (371 citations) and Information Systems and Management (68 citations). Mohammad Khalil has collaborated with scholars based in Norway, South Africa and Austria. Frequent co-authors include Martin Ebner, Paul Prinsloo, Sharon Slade, Martine Baars, Olga Viberg, Jacqueline Wong, Fred Paas, Björn B. de Koning, Mohammed Saqr and Barbara Wasson. Their work appears in journals such as British Journal of Educational Technology, Journal of Computing in Higher Education, Journal of Learning Analytics, Technology Knowledge and Learning and Frontiers in Psychology.

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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