Saeed Mehrabi
- Artificial Intelligence top 2%
- Molecular Biology
- Health Information Management top 1%
- Health Informatics top 1%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Hongfang LiuSunghwan SohnYanshan WangYuqun ZengMajid Rastegar-MojaradFeichen ShenNaveed AfzalSijia Liu
- Topics
- Biomedical Text Mining and Ontologies (5 papers)Topic Modeling (4 papers)Pancreatic and Hepatic Oncology Research (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsJournal of Biomedical Informatics
- Partner nations
- United StatesIranBelarus
In The Last Decade
Saeed Mehrabi
15 papers receiving 768 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 517
- Molecular Biology 337
- Health Information Management 129
- Health Informatics 93
- Radiology, Nuclear Medicine and Imaging 90
Countries citing papers authored by Saeed Mehrabi
This map shows the geographic impact of Saeed Mehrabi'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 Saeed Mehrabi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Mehrabi more than expected).
Fields of papers citing papers by Saeed Mehrabi
This network shows the impact of papers produced by Saeed Mehrabi. 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 Saeed Mehrabi. The network helps show where Saeed Mehrabi may publish in the future.
Co-authorship network of co-authors of Saeed Mehrabi
This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Mehrabi. A scholar is included among the top collaborators of Saeed Mehrabi 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 Saeed Mehrabi. Saeed Mehrabi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | Word Embedding and Clustering for Patient-Centered Redesign of Appointment Scheduling in Ambulatory Care Settings. | 1 |
| 4 | 32 | |
| 5 | 4 | |
| 6 | Clinical information extraction applications: A literature reviewbreakdown → | 514 |
| 7 | Exploring Gaps of Family History Documentation in EHR for Precision Medicine -A Case Study of Familial Hypercholesterolemia Ascertainment. | 8 |
| 8 | 52 | |
| 9 | 68 | |
| 10 | Identification of Patients with Family History of Pancreatic Cancer--Investigation of an NLP System Portability. | 27 |
| 11 | 32 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 6 | |
| 15 | 31 |
About Saeed Mehrabi
Saeed Mehrabi is a scholar working on Artificial Intelligence, Health Information Management and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 796 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Health Informatics (93 citations), Health Information Management (129 citations) and Artificial Intelligence (517 citations). Saeed Mehrabi has collaborated with scholars based in United States, Iran and Belarus. Frequent co-authors include Hongfang Liu, Sunghwan Sohn, Yanshan Wang, Yuqun Zeng, Majid Rastegar-Mojarad, Feichen Shen, Naveed Afzal, Sijia Liu, Liwei Wang and Sungrim Moon. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Biomedical Informatics.
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.