Mircea Vlăduţiu
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Lucian ProdanMihai UdrescuXiaojun WangOana BoncaloAlexandru TopîrceanuRadu MărculescuMarius MarcuM. Popa
- Topics
- Quantum Computing Algorithms and Architecture (17 papers)Low-power high-performance VLSI design (16 papers)Radiation Effects in Electronics (11 papers)
- Journals
- EnergiesMicroelectronics ReliabilityIEEE Transactions on Circuits & Systems II Express Briefs
- Partner nations
- RomaniaIrelandUnited States
In The Last Decade
Mircea Vlăduţiu
75 papers receiving 369 citations
Peers
Comparison fields: 5 of 44
- Electrical and Electronic Engineering 180
- Artificial Intelligence 142
- Hardware and Architecture 117
- Computational Theory and Mathematics 51
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Mircea Vlăduţiu
This map shows the geographic impact of Mircea Vlăduţiu'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 Mircea Vlăduţiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mircea Vlăduţiu more than expected).
Fields of papers citing papers by Mircea Vlăduţiu
This network shows the impact of papers produced by Mircea Vlăduţiu. 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 Mircea Vlăduţiu. The network helps show where Mircea Vlăduţiu may publish in the future.
Co-authorship network of co-authors of Mircea Vlăduţiu
This figure shows the co-authorship network connecting the top 25 collaborators of Mircea Vlăduţiu. A scholar is included among the top collaborators of Mircea Vlăduţiu 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 Mircea Vlăduţiu. Mircea Vlăduţiu 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 | 9 | |
| 3 | 18 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | Two phase simulation-based assessment of quantum error correction codes | 1 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | Microprocessor thermal benchmark | 1 |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 9 | |
| 18 | 46 | |
| 19 | 1 | |
| 20 | 14 |
About Mircea Vlăduţiu
Mircea Vlăduţiu is a scholar working on Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 84 papers that have together received 401 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (17 papers), Low-power high-performance VLSI design (16 papers) and Radiation Effects in Electronics (11 papers). The work is most often cited by research in Hardware and Architecture (117 citations), Artificial Intelligence (142 citations) and Statistical and Nonlinear Physics (43 citations). Mircea Vlăduţiu has collaborated with scholars based in Romania, Ireland and United States. Frequent co-authors include Lucian Prodan, Mihai Udrescu, Xiaojun Wang, Oana Boncalo, Alexandru Topîrceanu, Radu Mărculescu, Marius Marcu and M. Popa. Their work appears in journals such as Energies, Microelectronics Reliability and IEEE Transactions on Circuits & Systems II Express Briefs.
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.