Mohammad Khalil

75 papers receiving 1.2k citations

Peers

Mohammad Khalil
Comparison fields: 5 of 78
  • Computer Science Applications 739
  • Health Informatics 47
  • Developmental and Educational Psychology 265
  • Education 382
  • Information Systems and Management 68
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Oleksandra Poquet Australia
Linda Corrin Australia
Maren Scheffel Germany
Zacharoula Papamitsiou Greece
Carlo Perrotta United Kingdom
Carmel Kent Israel
Olga Viberg Sweden
Carlos Alario‐Hoyos Spain
Kimberly E. Arnold United States
Ana‐Elena Guerrero‐Roldán Spain
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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-authors

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

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020113
2 2016112
3 201994
4 201964
5 201545
6 201644
7 202343
8 201843
9 202241
10 202237
11 201036
12 202035
13 202330
14 202226
15 201923
16 202422
17 202320
18 201519
19 202218
20 201817

About Mohammad Khalil

Mohammad Khalil is a scholar working on Computer Science Applications, Artificial Intelligence, Education, Developmental and Educational Psychology and Sociology and Political Science, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (63 papers), E-Learning and Knowledge Management (19 papers), Online and Blended Learning (11 papers), Privacy-Preserving Technologies in Data (10 papers), Innovative Teaching and Learning Methods (9 papers), Software System Performance and Reliability (5 papers), Educational Games and Gamification (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). The work is most often cited by research in Computer Science Applications (739 citations), Health Informatics (47 citations), Developmental and Educational Psychology (265 citations), Education (382 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, Journal of Computer Assisted Learning and Technology Knowledge and Learning.

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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