Leila Keikha
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- Online Learning and Analytics 1
- Health Informatics top 5%
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- Innovative Teaching and Learning Methods 1
- Artificial Intelligence top 10%
- Information Systems top 10%
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- COVID-19 epidemiological studies 2
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- Healthcare Systems and Reforms 2
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- Ethics in Clinical Research 1
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- SARS-CoV-2 and COVID-19 Research 1
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- Academic integrity and plagiarism 1
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- Misinformation and Its Impacts 1
- Co-authors
- Marjan Ghazi SaeediNahid ZarifsanaieyMahnaz RakhshanElham MaseratMarjan GhazisaeediSharareh Rostam Niakan KalhoriReza SafdariZahra Nikmanesh
- Journals
- SHILAP Revista de lepidopterología (1 paper)BMC Public Health (2 papers)Systematic Reviews (1 paper)
In The Last Decade
Leila Keikha
9 papers receiving 322 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Science Applications 149
- Health Informatics 27
- Developmental and Educational Psychology 83
- Artificial Intelligence 161
- Information Systems 57
Countries citing papers authored by Leila Keikha
This map shows the geographic impact of Leila Keikha'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 Leila Keikha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leila Keikha more than expected).
Fields of papers citing papers by Leila Keikha
This network shows the impact of papers produced by Leila Keikha. 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 Leila Keikha. The network helps show where Leila Keikha may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Leila Keikha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2022 | 12 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 4 | |
| 6 | 2019 | 3 | |
| 7 | Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methodsbreakdown → | 2018 | 291 |
| 8 | 2018 | 11 | |
| 9 | Developments of Key Data Element of Thalassemia Information Management Systems for Iran. | 2018 | 1 |
| 10 | Prediction of Addiction Potential in Youth According to Attachment Styles | 2014 | 4 |
About Leila Keikha
Leila Keikha is a scholar working on Health Informatics, Modeling and Simulation and Health, having authored 10 papers that have together received 348 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Healthcare Systems and Reforms (2 papers), Innovative Teaching and Learning Methods (1 paper), Online Learning and Analytics (1 paper), Ethics in Clinical Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Academic integrity and plagiarism (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Computer Science Applications (149 citations), Health Informatics (27 citations) and Developmental and Educational Psychology (83 citations). Leila Keikha has collaborated with scholars based in Iran and Belgium. Frequent co-authors include Marjan Ghazi Saeedi, Nahid Zarifsanaiey, Mahnaz Rakhshan, Elham Maserat, Marjan Ghazisaeedi, Sharareh Rostam Niakan Kalhori, Reza Safdari and Zahra Nikmanesh. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Public Health and Systematic Reviews.
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.