Ehsan Latif
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 3
- Topic Modeling 3
-
- Robotic Path Planning Algorithms 3
- Co-authors
- Xiaoming Zhaı (12 shared papers)David Lam (1 shared paper)Michael Drummond (1 shared paper)Raúl H Sansores (1 shared paper)Mark J. Rosen (1 shared paper)Dean E. Schraufnagel (1 shared paper)Francesco Blasi (1 shared paper)Richard N. van Zyl-Smit (1 shared paper)
- Journals
- The International Journal of Tuberculosis and Lung Disease (2 papers)Computers and Education Artificial Intelligence (2 papers)IEEE Robotics and Automation Letters (1 paper)IEEE Transactions on Learning Technologies (1 paper)American Journal of Respiratory and Critical Care Medicine (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ehsan Latif
21 papers receiving 413 citations
Ehsan Latif's Hit Papers
Peers
Comparison fields: 5 of 92
- Health Informatics 33
- Computer Science Applications 50
- Physiology 133
- Artificial Intelligence 114
- Speech and Hearing 15
Countries citing papers authored by Ehsan Latif
This map shows the geographic impact of Ehsan Latif'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 Ehsan Latif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Latif more than expected).
Fields of papers citing papers by Ehsan Latif
This network shows the impact of papers produced by Ehsan Latif. 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 Ehsan Latif. The network helps show where Ehsan Latif may publish in the future.
Co-authors
The 25 scholars most cited alongside Ehsan Latif, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 137 | |
| 2 | Fine-tuning ChatGPT for automatic scoring Hit paper breakdown → | 2024 | 98 |
| 3 | 2024 | 71 | |
| 4 | 2013 | 35 | |
| 5 | 2025 | 19 | |
| 6 | 2020 | 12 | |
| 7 | 2025 | 12 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2025 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | Tobacco control: National Action Plan for NCD Prevention, Control and Health Promotion in Pakistan. | 2004 | 3 |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Ehsan Latif
Ehsan Latif is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications and Physiology, having authored 27 papers that have together received 434 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Smoking Behavior and Cessation (4 papers), Robotic Path Planning Algorithms (3 papers), Modular Robots and Swarm Intelligence (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Topic Modeling (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Health Informatics (33 citations), Computer Science Applications (50 citations), Physiology (133 citations), Artificial Intelligence (114 citations) and Speech and Hearing (15 citations). Ehsan Latif has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Xiaoming Zhaı, David Lam, Michael Drummond, Raúl H Sansores, Mark J. Rosen, Dean E. Schraufnagel, Francesco Blasi, Richard N. van Zyl-Smit, Ninghao Liu and Gyeong-Geon Lee. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, Computers and Education Artificial Intelligence, IEEE Robotics and Automation Letters, IEEE Transactions on Learning Technologies and American Journal of Respiratory and Critical Care Medicine.
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.