Mohammad Amin Morid

1.2k total citations · 1 hit paper
20 papers, 774 citations indexed

About

Mohammad Amin Morid is a scholar working on Artificial Intelligence, Surgery and Information Systems. According to data from OpenAlex, Mohammad Amin Morid has authored 20 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Surgery and 4 papers in Information Systems. Recurrent topics in Mohammad Amin Morid's work include Machine Learning in Healthcare (7 papers), Time Series Analysis and Forecasting (4 papers) and Recommender Systems and Techniques (4 papers). Mohammad Amin Morid is often cited by papers focused on Machine Learning in Healthcare (7 papers), Time Series Analysis and Forecasting (4 papers) and Recommender Systems and Techniques (4 papers). Mohammad Amin Morid collaborates with scholars based in United States, Iran and Egypt. Mohammad Amin Morid's co-authors include Alireza Borjali, Guilherme Del Fiol, Olivia R. Liu Sheng, Mehdi Shajari, Joseph C. Dunbar, Orhun K. Muratoglu, Kartik M. Varadarajan, Antonia F. Chen, Samir Abdelrahman and Kensaku Kawamoto and has published in prestigious journals such as Medical Physics, Information Systems Research and Journal of Orthopaedic Research®.

In The Last Decade

Mohammad Amin Morid

18 papers receiving 759 citations

Hit Papers

A scoping review of trans... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Amin Morid United States 12 293 182 125 117 85 20 774
Yu Tian China 22 335 1.1× 164 0.9× 78 0.6× 61 0.5× 100 1.2× 112 1.3k
Ernesto Iadanza Italy 17 133 0.5× 89 0.5× 127 1.0× 104 0.9× 71 0.8× 77 878
Yujia Zhou China 15 300 1.0× 214 1.2× 196 1.6× 106 0.9× 315 3.7× 62 1.0k
Melissa Berthelot United Kingdom 6 511 1.7× 346 1.9× 212 1.7× 74 0.6× 203 2.4× 11 1.3k
Amirata Ghorbani United States 8 567 1.9× 486 2.7× 124 1.0× 79 0.7× 162 1.9× 15 1.4k
Zahra Shakeri Hossein Abad Canada 8 389 1.3× 279 1.5× 68 0.5× 36 0.3× 71 0.8× 15 1.0k
Ali Mottaghi United States 4 235 0.8× 229 1.3× 92 0.7× 42 0.4× 173 2.0× 5 743
Nida Aslam Saudi Arabia 21 386 1.3× 235 1.3× 65 0.5× 33 0.3× 74 0.9× 63 1.2k
Ashwin Belle United States 12 122 0.4× 63 0.3× 122 1.0× 79 0.7× 49 0.6× 28 643

Countries citing papers authored by Mohammad Amin Morid

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Morid, Mohammad Amin, Robert E. Tillman, & Eran Halperin. (2025). Balanced Area Deprivation Index (bADI): Enhancing Social Determinants of Health Indices to Strengthen Their Association With Healthcare Clinical Outcomes, Utilization, and Costs. Journal of Public Health Management and Practice. 31(6). 998–1007.
2.
Morid, Mohammad Amin & Olivia R. Liu Sheng. (2025). Healthcare Cost Prediction for Heterogeneous Patient Profiles Using Deep Learning Models with Administrative Claims Data. Information Systems Research. 36(4). 1968–1992.
3.
Morid, Mohammad Amin, Olivia R. Liu Sheng, & Joseph C. Dunbar. (2022). Time Series Prediction Using Deep Learning Methods in Healthcare. ACM Transactions on Management Information Systems. 14(1). 1–29. 83 indexed citations
4.
Morid, Mohammad Amin, Michael Lau, & Guilherme Del Fiol. (2021). Predictive analytics for step-up therapy: Supervised or semi-supervised learning?. Journal of Biomedical Informatics. 119. 103842–103842. 9 indexed citations
5.
Borjali, Alireza, Antonia F. Chen, Hany S. Bedair, et al.. (2021). Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs. Medical Physics. 48(5). 2327–2336. 33 indexed citations
6.
Borjali, Alireza, Antonia F. Chen, Orhun K. Muratoglu, Mohammad Amin Morid, & Kartik M. Varadarajan. (2020). Deep Learning in Orthopedics: How Do We Build Trust in the Machine?. 19 indexed citations
7.
Morid, Mohammad Amin, Olivia R. Liu Sheng, Guilherme Del Fiol, et al.. (2020). Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury. JMIR Medical Informatics. 8(3). e14272–e14272. 11 indexed citations
8.
Morid, Mohammad Amin, Alireza Borjali, & Guilherme Del Fiol. (2020). A scoping review of transfer learning research on medical image analysis using ImageNet. Computers in Biology and Medicine. 128. 104115–104115. 340 indexed citations breakdown →
9.
Borjali, Alireza, Antonia F. Chen, Orhun K. Muratoglu, Mohammad Amin Morid, & Kartik M. Varadarajan. (2020). Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network. Journal of Orthopaedic Research®. 38(7). 1465–1471. 85 indexed citations
10.
Morid, Mohammad Amin, et al.. (2019). Healthcare cost prediction: Leveraging fine-grain temporal patterns. Journal of Biomedical Informatics. 91. 103113–103113. 23 indexed citations
11.
Bian, Jiantao, Mohammad Amin Morid, Siddhartha Jonnalagadda, Gang Luo, & Guilherme Del Fiol. (2017). Automatic identification of high impact articles in PubMed to support clinical decision making. Journal of Biomedical Informatics. 73. 95–103. 11 indexed citations
12.
Morid, Mohammad Amin, Olivia R. Liu Sheng, & Samir Abdelrahman. (2017). Leveraging Time Series Data in Similarity Based Healthcare Predictive Models: The Case of Early ICU Mortality Prediction. Americas Conference on Information Systems. 3 indexed citations
13.
Morid, Mohammad Amin, et al.. (2017). Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation.. PubMed. 2017. 1312–1321. 50 indexed citations
14.
Morid, Mohammad Amin, Marcelo Fiszman, Kalpana Raja, Siddhartha Jonnalagadda, & Guilherme Del Fiol. (2016). Classification of clinically useful sentences in clinical evidence resources. Journal of Biomedical Informatics. 60. 14–22. 24 indexed citations
15.
Morid, Mohammad Amin, Siddhartha Jonnalagadda, Marcelo Fiszman, Kalpana Raja, & Guilherme Del Fiol. (2015). Classification of Clinically Useful Sentences in MEDLINE.. PubMed. 2015. 2015–24. 5 indexed citations
16.
Morid, Mohammad Amin, et al.. (2013). Defending recommender systems by influence analysis. Information Retrieval. 17(2). 137–152. 26 indexed citations
17.
Morid, Mohammad Amin & Mehdi Shajari. (2012). An enhanced e-commerce trust model for community based centralized systems. Electronic Commerce Research. 12(4). 409–427. 36 indexed citations
18.
19.
Shajari, Mehdi, et al.. (2011). Using Genre Interest of Users to Detect Profile Injection Attacks in Movie Recommender Systems. 49–52. 9 indexed citations
20.
Morid, Mohammad Amin, Mehdi Shajari, & Alireza Hashemi Golpayegani. (2011). Who are the most influential users in a recommender system?. 1–5. 5 indexed citations

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.

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