Mohammad Amin Morid
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Surgery
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Alireza BorjaliGuilherme Del FiolOlivia R. Liu ShengMehdi ShajariJoseph C. DunbarKartik M. VaradarajanAntonia F. ChenOrhun K. Muratoglu
- Topics
- Machine Learning in Healthcare (7 papers)Time Series Analysis and Forecasting (4 papers)Recommender Systems and Techniques (4 papers)
- Partner nations
- United StatesIranEgypt
In The Last Decade
Mohammad Amin Morid
18 papers receiving 759 citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 293
- Radiology, Nuclear Medicine and Imaging 182
- Biomedical Engineering 125
- Surgery 117
- Computer Vision and Pattern Recognition 85
Countries citing papers authored by Mohammad Amin Morid
This map shows the geographic impact of Mohammad Amin Morid'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 Mohammad Amin Morid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Amin Morid more than expected).
Fields of papers citing papers by Mohammad Amin Morid
This network shows the impact of papers produced by Mohammad Amin Morid. 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 Mohammad Amin Morid. The network helps show where Mohammad Amin Morid may publish in the future.
Co-authorship network of co-authors of Mohammad Amin Morid
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Amin Morid. A scholar is included among the top collaborators of Mohammad Amin Morid 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 Mohammad Amin Morid. Mohammad Amin Morid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 83 | |
| 4 | 9 | |
| 5 | 33 | |
| 6 | 19 | |
| 7 | 11 | |
| 8 | A scoping review of transfer learning research on medical image analysis using ImageNetbreakdown → | 340 |
| 9 | 85 | |
| 10 | 23 | |
| 11 | Leveraging Time Series Data in Similarity Based Healthcare Predictive Models: The Case of Early ICU Mortality Prediction | 3 |
| 12 | 11 | |
| 13 | Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation. | 50 |
| 14 | 24 | |
| 15 | Classification of Clinically Useful Sentences in MEDLINE. | 5 |
| 16 | 26 | |
| 17 | 36 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 9 |
About Mohammad Amin Morid
Mohammad Amin Morid is a scholar working on Health Information Management, Signal Processing and Artificial Intelligence, having authored 20 papers that have together received 774 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Time Series Analysis and Forecasting (4 papers) and Recommender Systems and Techniques (4 papers). The work is most often cited by research in Health Informatics (81 citations), Health Information Management (64 citations) and Artificial Intelligence (293 citations). Mohammad Amin Morid has collaborated with scholars based in United States, Iran and Egypt. Frequent co-authors include Alireza Borjali, Guilherme Del Fiol, Olivia R. Liu Sheng, Mehdi Shajari, Joseph C. Dunbar, Kartik M. Varadarajan, Antonia F. Chen, Orhun K. Muratoglu, Samir Abdelrahman and Kensaku Kawamoto. Their work appears in journals such as Medical Physics, Information Systems Research and Journal of Orthopaedic Research®.
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.