Shamim Nemati
- Artificial Intelligence top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 2%
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 5%
- Co-authors
- Gari D. CliffordSupreeth P. ShashikumarAtul MalhotraAndre L. HolderMatthew D. StanleyAmit ShahTimothy G. BuchmanFereshteh Razmi
- Topics
- Sepsis Diagnosis and Treatment (44 papers)Machine Learning in Healthcare (41 papers)Heart Rate Variability and Autonomic Control (24 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Shamim Nemati
124 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Artificial Intelligence 1.3k
- Cardiology and Cardiovascular Medicine 1.1k
- Epidemiology 1.0k
- Cognitive Neuroscience 610
- Biomedical Engineering 609
Countries citing papers authored by Shamim Nemati
This map shows the geographic impact of Shamim Nemati'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 Shamim Nemati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shamim Nemati more than expected).
Fields of papers citing papers by Shamim Nemati
This network shows the impact of papers produced by Shamim Nemati. 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 Shamim Nemati. The network helps show where Shamim Nemati may publish in the future.
Co-authorship network of co-authors of Shamim Nemati
This figure shows the co-authorship network connecting the top 25 collaborators of Shamim Nemati. A scholar is included among the top collaborators of Shamim Nemati 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 Shamim Nemati. Shamim Nemati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease. | 1 |
| 10 | 31 | |
| 11 | 105 | |
| 12 | Personalized Medication Dosing Using Volatile Data Streams. | 8 |
| 13 | DeepAISE on FHIR — An Interoperable Real-Time Predictive Analytic Platform for Early Prediction of Sepsis | 1 |
| 14 | 112 | |
| 15 | 17 | |
| 16 | 5 | |
| 17 | Uncovering clinical significance of vital sign dynamics in critical care | 2 |
| 18 | A Physiological Time Series Dynamics-Based Approach toPatient Monitoring and Outcome Prediction | 2 |
| 19 | 47 | |
| 20 | Constructing Robust Neural Decoders Using Limited Training Data | 1 |
About Shamim Nemati
Shamim Nemati is a scholar working on Family Practice, Health Informatics and Cardiology and Cardiovascular Medicine, having authored 131 papers that have together received 3.9k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (44 papers), Machine Learning in Healthcare (41 papers) and Heart Rate Variability and Autonomic Control (24 papers). The work is most often cited by research in Health Informatics (255 citations), Family Practice (212 citations) and Endocrine and Autonomic Systems (359 citations). Shamim Nemati has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Gari D. Clifford, Supreeth P. Shashikumar, Atul Malhotra, Andre L. Holder, Matthew D. Stanley, Amit Shah, Timothy G. Buchman, Fereshteh Razmi, Mohammad M. Ghassemi and Bradley A. Edwards. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.