M. Safa
Impact in
-
- Artificial Intelligence in Healthcare
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
-
- Advanced Neural Network Applications 3
- Image Retrieval and Classification Techniques 2
-
- Internet of Things and AI 3
- Co-authors
- G. Geetha (5 shared papers)G. Saranya (6 shared papers)Moez Krichen (1 shared paper)Vinayakumar Ravi (2 shared papers)K. Meenakshi (3 shared papers)G. Geetha (1 shared paper)Sami J. Habib (1 shared paper)G. Saranya (1 shared paper)
- Journals
- International Journal of Distance Education Technologies (1 paper)Journal of Electrical Engineering and Technology (1 paper)Research Journal of Pharmacy and Technology (1 paper)The Open Public Health Journal (1 paper)International Journal of System of Systems Engineering (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
M. Safa
18 papers receiving 245 citations
Peers
Comparison fields: 5 of 75
- Health Information Management 37
- Information Systems 102
- Medical Laboratory Technology 6
- Health Informatics 5
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by M. Safa
This map shows the geographic impact of M. Safa'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 M. Safa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Safa more than expected).
Fields of papers citing papers by M. Safa
This network shows the impact of papers produced by M. Safa. 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 M. Safa. The network helps show where M. Safa may publish in the future.
Co-authors
The 11 scholars most cited alongside M. Safa, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 111 | |
| 2 | 2023 | 35 | |
| 3 | 2022 | 28 | |
| 4 | 2017 | 17 | |
| 5 | 2020 | 17 | |
| 6 | 2017 | 13 | |
| 7 | 2020 | 13 | |
| 8 | 2017 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2019 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2008 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2024 | 0 |
About M. Safa
M. Safa is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Artificial Intelligence and Health Information Management, having authored 25 papers that have together received 274 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), IoT-based Smart Home Systems (3 papers), Advanced Neural Network Applications (3 papers), Artificial Intelligence in Healthcare (3 papers), Internet of Things and AI (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Image Retrieval and Classification Techniques (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Health Information Management (37 citations), Information Systems (102 citations), Medical Laboratory Technology (6 citations), Health Informatics (5 citations) and Computer Vision and Pattern Recognition (67 citations). M. Safa has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include G. Geetha, G. Saranya, Moez Krichen, Vinayakumar Ravi, K. Meenakshi, G. Geetha, Sami J. Habib, G. Saranya, K. Srihari and K. Umamaheswari. Their work appears in journals such as International Journal of Distance Education Technologies, Journal of Electrical Engineering and Technology, Research Journal of Pharmacy and Technology, The Open Public Health Journal and International Journal of System of Systems Engineering.
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.