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
-
- Topic Modeling 3
- Explainable Artificial Intelligence (XAI) 2
-
- Robotics and Sensor-Based Localization 5
- Co-authors
- Xiaoming Zhaı (7 shared papers)Michael Drummond (1 shared paper)Mark J. Rosen (1 shared paper)Richard N. van Zyl-Smit (1 shared paper)Dean E. Schraufnagel (1 shared paper)David Lam (1 shared paper)Francesco Blasi (1 shared paper)Raúl H Sansores (1 shared paper)
- Journals
- Computers and Education Artificial Intelligence (2 papers)The International Journal of Tuberculosis and Lung Disease (2 papers)Journal of Science Education and Technology (1 paper)ACM SIGCOMM Computer Communication Review (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Ehsan Latif
16 papers receiving 337 citations
Peers
Comparison fields: 5 of 91
- Health Informatics 26
- Computer Science Applications 42
- Physiology 137
- Speech and Hearing 25
- Applied Psychology 17
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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 130 | |
| 2 | 2024 | 75 | |
| 3 | 2024 | 59 | |
| 4 | 2013 | 34 | |
| 5 | 2020 | 11 | |
| 6 | 2025 | 9 | |
| 7 | 2025 | 8 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2024 | 4 | |
| 12 | Tobacco control: National Action Plan for NCD Prevention, Control and Health Promotion in Pakistan. | 2004 | 3 |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Ehsan Latif
Ehsan Latif is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Health Informatics, having authored 20 papers that have together received 357 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Smoking Behavior and Cessation (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Topic Modeling (3 papers), Online Learning and Analytics (2 papers), Distributed Control Multi-Agent Systems (2 papers), Robotic Path Planning Algorithms (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (26 citations), Computer Science Applications (42 citations), Physiology (137 citations), Speech and Hearing (25 citations) and Applied Psychology (17 citations). Ehsan Latif has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Xiaoming Zhaı, Michael Drummond, Mark J. Rosen, Richard N. van Zyl-Smit, Dean E. Schraufnagel, David Lam, Francesco Blasi, Raúl H Sansores, Ninghao Liu and Gyeong-Geon Lee. Their work appears in journals such as Computers and Education Artificial Intelligence, The International Journal of Tuberculosis and Lung Disease, Journal of Science Education and Technology, ACM SIGCOMM Computer Communication Review and IEEE Internet of Things Journal.
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.