Murod Ismailov
- Computer Science Applications top 1%
- Education top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Developmental and Educational Psychology top 10%
- Co-authors
- Thomas K. F. ChiuChing Sing ChaiBenjamin Luke MoorhouseZubair AhmadIsmaila Temitayo SanusiJerry Chih‐Yuan SunGarry FalloonYanjie Song
- Topics
- Motivation and Self-Concept in Sports (5 papers)Second Language Learning and Teaching (4 papers)Innovative Teaching and Learning Methods (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers & EducationFrontiers in Psychology
In The Last Decade
Murod Ismailov
15 papers receiving 636 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Science Applications 237
- Education 172
- Artificial Intelligence 167
- Information Systems 140
- Developmental and Educational Psychology 110
Countries citing papers authored by Murod Ismailov
This map shows the geographic impact of Murod Ismailov'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 Murod Ismailov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murod Ismailov more than expected).
Fields of papers citing papers by Murod Ismailov
This network shows the impact of papers produced by Murod Ismailov. 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 Murod Ismailov. The network helps show where Murod Ismailov may publish in the future.
Co-authorship network of co-authors of Murod Ismailov
This figure shows the co-authorship network connecting the top 25 collaborators of Murod Ismailov. A scholar is included among the top collaborators of Murod Ismailov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Murod Ismailov. Murod Ismailov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | What are artificial intelligence literacy and competency? A comprehensive framework to support thembreakdown → | 129 |
| 3 | A self-determination theory approach to teacher digital competence developmentbreakdown → | 43 |
| 4 | Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbotbreakdown → | 311 |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 55 | |
| 9 | 9 | |
| 10 | 17 | |
| 11 | 29 | |
| 12 | 20 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 1 |
About Murod Ismailov
Murod Ismailov is a scholar working on Computer Science Applications, Literature and Literary Theory and Developmental and Educational Psychology, having authored 15 papers that have together received 671 indexed citations. Recurring topics across this work include Motivation and Self-Concept in Sports (5 papers), Second Language Learning and Teaching (4 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Health Informatics (87 citations), Computer Science Applications (237 citations) and Developmental and Educational Psychology (110 citations). Murod Ismailov has collaborated with scholars based in Japan, Hong Kong and Australia. Frequent co-authors include Thomas K. F. Chiu, Ching Sing Chai, Benjamin Luke Moorhouse, Zubair Ahmad, Ismaila Temitayo Sanusi, Jerry Chih‐Yuan Sun, Garry Falloon, Yanjie Song, Li Zhao and Yukiko Yamamoto. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Education 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.