Constantin Suciu
- Radiology, Nuclear Medicine and Imaging top 10%
- Cardiology and Cardiovascular Medicine
- Surgery
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Lucian ItuPuneet SharmaAli KamenDorin ComaniciuA. PostelnicuFlorica MoldoveanuXudong ZhengDominik Bernhardt
- Topics
- Cardiovascular Health and Disease Prevention (9 papers)Cardiovascular Function and Risk Factors (7 papers)Coronary Interventions and Diagnostics (7 papers)
- Cited by
- Health InformaticsIndustrial and Manufacturing EngineeringRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyScientific Reports
- Partner nations
- RomaniaUnited StatesGermany
In The Last Decade
Constantin Suciu
56 papers receiving 521 citations
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 122
- Cardiology and Cardiovascular Medicine 113
- Surgery 108
- Artificial Intelligence 105
- Industrial and Manufacturing Engineering 83
Countries citing papers authored by Constantin Suciu
This map shows the geographic impact of Constantin Suciu'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 Constantin Suciu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Constantin Suciu more than expected).
Fields of papers citing papers by Constantin Suciu
This network shows the impact of papers produced by Constantin Suciu. 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 Constantin Suciu. The network helps show where Constantin Suciu may publish in the future.
Co-authorship network of co-authors of Constantin Suciu
This figure shows the co-authorship network connecting the top 25 collaborators of Constantin Suciu. A scholar is included among the top collaborators of Constantin Suciu 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 Constantin Suciu. Constantin Suciu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 49 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 19 | |
| 11 | GPU Accelerated Fluid Flow Computations Using the Latice Boltzmann Method | 2 |
| 12 | GPU optimized computation of the artificial compressibility method | 2 |
| 13 | Analysis of outflow boundary condition implementations for 1D blood flow models | 6 |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 12 | |
| 20 | 9 |
About Constantin Suciu
Constantin Suciu is a scholar working on Computational Mathematics, Health Informatics and Hardware and Architecture, having authored 60 papers that have together received 551 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (9 papers), Cardiovascular Function and Risk Factors (7 papers) and Coronary Interventions and Diagnostics (7 papers). The work is most often cited by research in Health Informatics (25 citations), Industrial and Manufacturing Engineering (83 citations) and Radiology, Nuclear Medicine and Imaging (122 citations). Constantin Suciu has collaborated with scholars based in Romania, United States and Germany. Frequent co-authors include Lucian Itu, Puneet Sharma, Ali Kamen, Dorin Comaniciu, A. Postelnicu, Florica Moldoveanu, Xudong Zheng, Dominik Bernhardt, Tiziano Passerini and Róbert Demeter. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.
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.