Mohammad Saqr
Impact in
- Computer Science Applications top 0.1%
- Online Learning and Analytics
- E-Learning and Knowledge Management
- Teaching and Learning Programming
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- Innovative Teaching and Learning Methods
- Educational Games and Gamification
Papers in
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- Online Learning and Analytics 101
- E-Learning and Knowledge Management 17
- Teaching and Learning Programming 14
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- Innovative Teaching and Learning Methods 48
- Co-authors
- Sonsoles López‐Pernas (107 shared papers)Matti Tedre (22 shared papers)Uno Fors (10 shared papers)Jalal Nouri (19 shared papers)Jonna Malmberg (10 shared papers)Henriikka Vartiainen (7 shared papers)Olga Viberg (10 shared papers)Ahmad Alamro (2 shared papers)
In The Last Decade
Mohammad Saqr
157 papers receiving 2.8k citations
Mohammad Saqr's Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Science Applications 1.3k
- Developmental and Educational Psychology 943
- Health Informatics 99
- Education 897
- Experimental and Cognitive Psychology 199
Countries citing papers authored by Mohammad Saqr
This map shows the geographic impact of Mohammad Saqr'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 Saqr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Saqr more than expected).
Fields of papers citing papers by Mohammad Saqr
This network shows the impact of papers produced by Mohammad Saqr. 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 Saqr. The network helps show where Mohammad Saqr may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Saqr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 140 | |
| 2 | 2019 | 99 | |
| 3 | 2021 | 93 | |
| 4 | 2024 | 88 | |
| 5 | 2021 | 84 | |
| 6 | 2024 | 81 | |
| 7 | 2018 | 78 | |
| 8 | 2021 | 77 | |
| 9 | 2018 | 76 | |
| 10 | 2022 | 76 | |
| 11 | 2021 | 74 | |
| 12 | 2018 | 73 | |
| 13 | 2023 | 72 | |
| 14 | 2022 | 69 | |
| 15 | The longitudinal association between engagement and achievement varies by time, students’ profiles, and achievement state: A full program study Hit paper breakdown → | 2023 | 61 |
| 16 | 2020 | 57 | |
| 17 | 2023 | 57 | |
| 18 | 2020 | 54 | |
| 19 | 2022 | 50 | |
| 20 | 2022 | 43 |
About Mohammad Saqr
Mohammad Saqr is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Education, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 182 papers that have together received 2.9k indexed citations. Recurring topics across this work include Online Learning and Analytics (101 papers), Innovative Teaching and Learning Methods (48 papers), Online and Blended Learning (36 papers), Mental Health Research Topics (19 papers), E-Learning and Knowledge Management (17 papers), Teaching and Learning Programming (14 papers), Complex Network Analysis Techniques (14 papers) and Intelligent Tutoring Systems and Adaptive Learning (12 papers). The work is most often cited by research in Computer Science Applications (1.3k citations), Developmental and Educational Psychology (943 citations), Health Informatics (99 citations), Education (897 citations) and Experimental and Cognitive Psychology (199 citations). Mohammad Saqr has collaborated with scholars based in Finland, Sweden and Spain. Frequent co-authors include Sonsoles López‐Pernas, Matti Tedre, Uno Fors, Jalal Nouri, Jonna Malmberg, Henriikka Vartiainen, Olga Viberg, Ahmad Alamro, Sofia Schöbel and Andreas Janson. Their work appears in journals such as Computers & Education, IEEE Access, Smart Learning Environments, Computers in Human Behavior and Learning and Individual Differences.
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.