Mohammad Khalil

3.1k citations
103 papers · 1.9k · h-index 23

Impact in

Papers in

Mohammad Khalil

94 papers receiving 1.8k citations

Peers

Mohammad Khalil
Comparison fields: 5 of 90
  • Computer Science Applications 1.2k
  • Health Informatics 124
  • Developmental and Educational Psychology 353
  • Education 549
  • Information Systems 318
Replace Zacharoula Papamitsiou with:
Zacharoula Papamitsiou Greece
Ismaila Temitayo Sanusi Finland
Olga Viberg Sweden
Sharon Slade South Africa
Linda Corrin Australia
Andy Nguyen Finland
Mohammed Saqr Finland
Maren Scheffel Germany
Jiahong Su Hong Kong
Guanliang Chen Australia
Mohammad Khalil relative to Zacharoula Papamitsiou Greece Zacharoula Papamitsiou's profile →
Citations per field
00.5×2×2.9×
Zacharoula 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 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017192
2 2020135
3 2016126
4 2023101
5 2019101
6 201979
7 201565
8 201964
9 201661
10 201853
11 202346
12 202245
13 202239
14 202038
15 201037
16 201935
17 202332
18 202227
19 201526
20 202426

About Mohammad Khalil

Mohammad Khalil is a scholar working on Computer Science Applications, Education, Artificial Intelligence, Developmental and Educational Psychology and Information Systems, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Online Learning and Analytics (79 papers), E-Learning and Knowledge Management (33 papers), Online and Blended Learning (18 papers), Privacy-Preserving Technologies in Data (10 papers), Innovative Teaching and Learning Methods (10 papers), Software System Performance and Reliability (7 papers), Educational Games and Gamification (7 papers) and Artificial Intelligence in Healthcare and Education (6 papers). The work is most often cited by research in Computer Science Applications (1.2k citations), Health Informatics (124 citations), Developmental and Educational Psychology (353 citations), Education (549 citations) and Information Systems (318 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, Fred Paas and Björn B. de Koning. 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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