Shahram Ebadollahi
- Artificial Intelligence top 5%
- Health Information Management top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Epidemiology
- Co-authors
- Jimeng SunJianying HuFei WangSteven R. SteinhublRoy J. ByrdWalter F. StewartNoah LeeDaby Sow
- Topics
- Machine Learning in Healthcare (14 papers)Biomedical Text Mining and Ontologies (9 papers)Time Series Analysis and Forecasting (8 papers)
- Journals
- CirculationJournal of the American College of CardiologyIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesItalyCanada
In The Last Decade
Shahram Ebadollahi
44 papers receiving 769 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 463
- Health Information Management 208
- Computer Vision and Pattern Recognition 179
- Molecular Biology 156
- Epidemiology 113
Countries citing papers authored by Shahram Ebadollahi
This map shows the geographic impact of Shahram Ebadollahi'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 Shahram Ebadollahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahram Ebadollahi more than expected).
Fields of papers citing papers by Shahram Ebadollahi
This network shows the impact of papers produced by Shahram Ebadollahi. 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 Shahram Ebadollahi. The network helps show where Shahram Ebadollahi may publish in the future.
Co-authorship network of co-authors of Shahram Ebadollahi
This figure shows the co-authorship network connecting the top 25 collaborators of Shahram Ebadollahi. A scholar is included among the top collaborators of Shahram Ebadollahi 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 Shahram Ebadollahi. Shahram Ebadollahi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Prescription Extraction from Clinical Notes: Towards Automating EMR Medication Reconciliation. | 5 |
| 2 | 65 | |
| 3 | 5 | |
| 4 | 93 | |
| 5 | 1 | |
| 6 | 55 | |
| 7 | 2 | |
| 8 | 50 | |
| 9 | 6 | |
| 10 | A healthcare utilization analysis framework for hot spotting and contextual anomaly detection. | 18 |
| 11 | Abstract 12035: Text and Data Mining of Longitudinal Electronic Health Records (EHRs) in a Primary Care Population Can Identify Heart Failure (HF) Patients Months to Years Prior to Formal Diagnosis Using the Framingham Criteria | 3 |
| 12 | 14 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 47 | |
| 18 | 1 | |
| 19 | Analysis of video content using statistical spatio-temporal models | 1 |
| 20 | 42 |
About Shahram Ebadollahi
Shahram Ebadollahi is a scholar working on Health Information Management, Signal Processing and Artificial Intelligence, having authored 44 papers that have together received 810 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (14 papers), Biomedical Text Mining and Ontologies (9 papers) and Time Series Analysis and Forecasting (8 papers). The work is most often cited by research in Health Information Management (208 citations), Health Informatics (21 citations) and Artificial Intelligence (463 citations). Shahram Ebadollahi has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Jimeng Sun, Jianying Hu, Fei Wang, Steven R. Steinhubl, Roy J. Byrd, Walter F. Stewart, Noah Lee, Daby Sow, Shih‐Fu Chang and David Gotz. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.