Zeeshan Syed
About
In The Last Decade
Zeeshan Syed
54 papers receiving 495 citations
Peers
Comparison fields: 5 of 88
- Cardiology and Cardiovascular Medicine 217
- Artificial Intelligence 136
- Pulmonary and Respiratory Medicine 101
- Signal Processing 93
- Cognitive Neuroscience 92
Countries citing papers authored by Zeeshan Syed
This map shows the geographic impact of Zeeshan Syed'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 Zeeshan Syed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeeshan Syed more than expected).
Fields of papers citing papers by Zeeshan Syed
This network shows the impact of papers produced by Zeeshan Syed. 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 Zeeshan Syed. The network helps show where Zeeshan Syed may publish in the future.
Co-authorship network of co-authors of Zeeshan Syed
This figure shows the co-authorship network connecting the top 25 collaborators of Zeeshan Syed. A scholar is included among the top collaborators of Zeeshan Syed 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 Zeeshan Syed. Zeeshan Syed 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 | 1 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection | 6 |
| 6 | Predicting atrial fibrillation from intensive care unit numeric data | 1 |
| 7 | Cardiovascular risk stratification with heart rate topics | 2 |
| 8 | ICU mortality prediction using time series motifs | 7 |
| 9 | 6 | |
| 10 | Identifying High-Risk Patients without Labeled Training Data: Anomaly Detection Methodologies to Predict Adverse Outcomes. | 7 |
| 11 | Motif Discovery in Physiological Datasets: A Methodology for Inferring Predictive Elements | 3 |
| 12 | Predicting Surgical Risk: How Much Data is Enough? | 15 |
| 13 | Abstract 15908: Association of Heart Rate Turbulence, Deceleration Capacity and Morphologic Variability with Sudden Cardiac Death Following Non-ST-Elevation Acute Coronary Syndrome: Results from the MERLIN-TIMI 36 Trial | 0 |
| 14 | Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes | 12 |
| 15 | Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch | 6 |
| 16 | Learning Approximate Sequential Patterns for Classification | 7 |
| 17 | 9 | |
| 18 | 8 | |
| 19 | 73 | |
| 20 | 2 |
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.