Mohammad Khalil

3.4k citations
98 papers · 2.0k · h-index 24

Impact in

Papers in

Mohammad Khalil

91 papers receiving 1.9k citations

Peers

Mohammad Khalil
Comparison fields: 5 of 90
  • Computer Science Applications 1.2k
  • Health Informatics 119
  • Developmental and Educational Psychology 346
  • Education 539
  • Information Systems 317
Replace Zacharoula K. Papamitsiou with:
Zacharoula K. Papamitsiou Greece
Ismaila Temitayo Sanusi Finland
Andy Nguyen Finland
İsmail Çelik Finland
Sharon Slade South Africa
Olga Viberg Sweden
Maren Scheffel Germany
Mohammad Saqr Finland
Jiahong Su Hong Kong
Jon Dron United Kingdom
Mohammad Khalil relative to Zacharoula K. Papamitsiou Greece Zacharoula K. Papamitsiou's profile →
Citations per field
00.5×2×2.9×
Zacharoula K. Papamitsiou · 1×
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 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017194
2 2020142
3 2016126
4 2023106
5 2019105
6 201982
7 201566
8 201965
9 201664
10 202357
11 202253
12 201852
13 202242
14 202039
15 201036
16 201934
17 202334
18 202434
19 202333
20 202431

About Mohammad Khalil

Mohammad Khalil is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Education, Artificial Intelligence and Health Informatics, having authored 98 papers that have together received 2.0k indexed citations. Recurring topics across this work include Online Learning and Analytics (72 papers), E-Learning and Knowledge Management (31 papers), Online and Blended Learning (17 papers), Privacy-Preserving Technologies in Data (11 papers), Innovative Teaching and Learning Methods (9 papers), Educational Games and Gamification (7 papers), Software System Performance and Reliability (7 papers) and Artificial Intelligence in Healthcare and Education (5 papers). The work is most often cited by research in Computer Science Applications (1.2k citations), Health Informatics (119 citations), Developmental and Educational Psychology (346 citations), Education (539 citations) and Information Systems (317 citations). Mohammad Khalil has collaborated with scholars based in Norway, Austria and South Africa. Frequent co-authors include Martin Ebner, Paul Prinsloo, Sharon Slade, Martine Baars, Philipp Leitner, Olga Viberg, Erkan Er, Jacqueline Wong, Björn B. de Koning and FRED G. W. C. PAAS. Their work appears in journals such as British Journal of Educational Technology, Journal of Computing in Higher Education, Journal of Learning Analytics, Frontiers in Psychology and Journal of Computer Assisted 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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