Nima Fazeli
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Surgery
- Computer Vision and Pattern Recognition
- Co-authors
- Alberto RodríguezJoshua B. TenenbaumJin‐Oh HahnJiajun WuZi‐Niu WuBarry A. FineganM. Sean McMurtryAnurag Ajay
- Topics
- Robot Manipulation and Learning (9 papers)Hemodynamic Monitoring and Therapy (8 papers)Cardiovascular Health and Disease Prevention (7 papers)
- Cited by
- Control and Systems EngineeringCardiology and Cardiovascular MedicineHuman-Computer Interaction
- Journals
- The International Journal of Robotics ResearchIEEE Transactions on RoboticsFrontiers in Physiology
- Partner nations
- United StatesCanadaIndonesia
In The Last Decade
Nima Fazeli
25 papers receiving 297 citations
Peers
Comparison fields: 5 of 53
- Control and Systems Engineering 117
- Biomedical Engineering 109
- Cardiology and Cardiovascular Medicine 88
- Surgery 60
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Nima Fazeli
This map shows the geographic impact of Nima Fazeli'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 Nima Fazeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nima Fazeli more than expected).
Fields of papers citing papers by Nima Fazeli
This network shows the impact of papers produced by Nima Fazeli. 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 Nima Fazeli. The network helps show where Nima Fazeli may publish in the future.
Co-authorship network of co-authors of Nima Fazeli
This figure shows the co-authorship network connecting the top 25 collaborators of Nima Fazeli. A scholar is included among the top collaborators of Nima Fazeli 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 Nima Fazeli. Nima Fazeli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 87 | |
| 15 | 7 | |
| 16 | 21 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 23 | |
| 20 | Studying the relationship between previous Chlamydia pneumonia infection with atherosclerotic coronary artery disease | 1 |
About Nima Fazeli
Nima Fazeli is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 305 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Hemodynamic Monitoring and Therapy (8 papers) and Cardiovascular Health and Disease Prevention (7 papers). The work is most often cited by research in Control and Systems Engineering (117 citations), Cardiology and Cardiovascular Medicine (88 citations) and Human-Computer Interaction (19 citations). Nima Fazeli has collaborated with scholars based in United States, Canada and Indonesia. Frequent co-authors include Alberto Rodríguez, Joshua B. Tenenbaum, Jin‐Oh Hahn, Jiajun Wu, Zi‐Niu Wu, Barry A. Finegan, M. Sean McMurtry, Anurag Ajay, Chang‐Sei Kim and Leslie Pack Kaelbling. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Frontiers in Physiology.
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.