Constantin Suciu

844 total citations
60 papers, 551 citations indexed

About

Constantin Suciu is a scholar working on Cardiology and Cardiovascular Medicine, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Constantin Suciu has authored 60 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 11 papers in Computational Mechanics and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Constantin Suciu's work include Cardiovascular Health and Disease Prevention (9 papers), Cardiovascular Function and Risk Factors (7 papers) and Coronary Interventions and Diagnostics (7 papers). Constantin Suciu is often cited by papers focused on Cardiovascular Health and Disease Prevention (9 papers), Cardiovascular Function and Risk Factors (7 papers) and Coronary Interventions and Diagnostics (7 papers). Constantin Suciu collaborates with scholars based in Romania, United States and Germany. Constantin Suciu's co-authors include Lucian Itu, Puneet Sharma, Ali Kamen, Dorin Comaniciu, A. Postelnicu, Florica Moldoveanu, Dominik Bernhardt, Xudong Zheng, Tiziano Passerini and Róbert Demeter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Constantin Suciu

56 papers receiving 521 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Constantin Suciu Romania 13 122 113 108 105 83 60 551
Jens Müller Germany 10 75 0.6× 51 0.5× 28 0.3× 62 0.6× 9 0.1× 47 397
Mengshu Hou China 14 20 0.2× 97 0.9× 39 0.4× 178 1.7× 34 0.4× 80 653
Ling Lin China 15 89 0.7× 58 0.5× 37 0.3× 37 0.4× 10 0.1× 83 580
Xishi Huang Canada 11 115 0.9× 47 0.4× 42 0.4× 62 0.6× 27 0.3× 39 472
Sergii Pavlov Ukraine 15 72 0.6× 11 0.1× 38 0.4× 73 0.7× 62 0.7× 90 571
Jiao Yin China 11 19 0.2× 33 0.3× 49 0.5× 131 1.2× 51 0.6× 35 493
Uday Kurkure United States 9 220 1.8× 73 0.6× 29 0.3× 27 0.3× 9 0.1× 25 520
Anders Jönsson Spain 19 29 0.2× 87 0.8× 39 0.4× 358 3.4× 12 0.1× 80 900
Hehua Zhang China 13 13 0.1× 52 0.5× 19 0.2× 96 0.9× 33 0.4× 45 454
Rahul K. Sevakula India 13 47 0.4× 48 0.4× 14 0.1× 212 2.0× 35 0.4× 35 675

Countries citing papers authored by Constantin Suciu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Seitz, Andreas, M. Becker, Heiko Mahrholdt, et al.. (2025). Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection. European Radiology.
2.
Suciu, Constantin, et al.. (2024). Automated Waste Sorting: A Comprehensive Approach Using Deep Learning for Detection and Classification. 268–273. 5 indexed citations
3.
Leordeanu, Marius, et al.. (2023). Applications of Artificial Intelligence in Cardiovascular Emergencies – Status Quo and Outlook. SHILAP Revista de lepidopterología. 9(4). 83–102.
4.
Itu, Lucian, Constantin Suciu, Jens Wetzl, et al.. (2022). Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data. Scientific Reports. 12(1). 2391–2391. 8 indexed citations
5.
Suciu, Constantin, et al.. (2022). Obfuscation Algorithm for Privacy-Preserving Deep Learning-Based Medical Image Analysis. Applied Sciences. 12(8). 3997–3997. 10 indexed citations
6.
Suciu, Constantin, et al.. (2020). Applying Deep Neural Networks over Homomorphic Encrypted Medical Data. Computational and Mathematical Methods in Medicine. 2020. 1–26. 49 indexed citations
7.
Itu, Lucian, et al.. (2016). Personalized blood flow computations: A hierarchical parameter estimation framework for tuning boundary conditions. International Journal for Numerical Methods in Biomedical Engineering. 33(3). 10 indexed citations
8.
Itu, Lucian, Constantin Suciu, Viorel Mihalef, et al.. (2016). GPU accelerated, robust method for voxelization of solid objects. 1–5. 1 indexed citations
9.
Passerini, Tiziano, Elisabeta Bădilă, Lucian Câlmâc, et al.. (2016). IMAGE-BASED COMPUTATION OF INSTANTANEOUS WAVE-FREE RATIO FROM ROUTINE CORONARY ANGIOGRAPHY: EVALUATION OF A HYBRID DECISION MAKING STRATEGY WITH FFR. Journal of the American College of Cardiology. 67(13). 328–328. 2 indexed citations
10.
Câlmâc, Lucian, Rodica Niculescu, Elisabeta Bădilă, et al.. (2015). TCT-40 Image-Based Computation of Instantaneous Wave-free Ratio from Routine Coronary Angiography - Initial Validation by Invasively Measured Coronary Pressures. Journal of the American College of Cardiology. 66(15). B17–B18. 4 indexed citations
11.
Itu, Lucian, Puneet Sharma, Tiziano Passerini, et al.. (2014). A parameter estimation framework for patient-specific hemodynamic computations. Journal of Computational Physics. 281. 316–333. 19 indexed citations
12.
Itu, Lucian, et al.. (2013). GPU Accelerated Fluid Flow Computations Using the Latice Boltzmann Method. 2 indexed citations
13.
Itu, Lucian, Constantin Suciu, A. Postelnicu, & Florica Moldoveanu. (2011). Analysis of outflow boundary condition implementations for 1D blood flow models. 1–4. 6 indexed citations
14.
Itu, Lucian, et al.. (2011). GPU optimized computation of the artificial compressibility method. 1–6. 2 indexed citations
15.
Itu, Lucian, Constantin Suciu, Florica Moldoveanu, & A. Postelnicu. (2011). GPU optimized computation of stencil based algorithms. 1–6. 15 indexed citations
16.
Itu, Lucian, et al.. (2011). GPU accelerated simulation of elliptic partial differential equations. 238–242. 7 indexed citations
17.
Moldoveanu, Florica, et al.. (2010). Surveillance multiagent system using robot vision based on fuzzy controller. 819–824. 3 indexed citations
18.
19.
Suciu, Constantin, et al.. (2006). GPRS Based System for Atmospheric Pollution Monitoring and Warning. 2. 193–198. 12 indexed citations
20.
Suciu, Constantin, et al.. (2002). Switched capacitor fuzzy control for power factor correction in inductive circuits. 2. 773–777. 9 indexed citations

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.

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