Mihai Udrescu
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Alexandru TopîrceanuMircea VlăduţiuLucian ProdanȘtefan MihăicuțăRadu MărculescuPaul BogdanOana BoncaloLudovic Kurunczi
- Topics
- Quantum Computing Algorithms and Architecture (19 papers)Complex Network Analysis Techniques (19 papers)Opinion Dynamics and Social Influence (13 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational Theory and MathematicsEndocrine and Autonomic Systems
- Partner nations
- RomaniaUnited StatesBelgium
In The Last Decade
Mihai Udrescu
70 papers receiving 458 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 127
- Statistical and Nonlinear Physics 108
- Computational Theory and Mathematics 107
- Molecular Biology 92
- Electrical and Electronic Engineering 76
Countries citing papers authored by Mihai Udrescu
This map shows the geographic impact of Mihai Udrescu'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 Mihai Udrescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Udrescu more than expected).
Fields of papers citing papers by Mihai Udrescu
This network shows the impact of papers produced by Mihai Udrescu. 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 Mihai Udrescu. The network helps show where Mihai Udrescu may publish in the future.
Co-authorship network of co-authors of Mihai Udrescu
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Udrescu. A scholar is included among the top collaborators of Mihai Udrescu 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 Mihai Udrescu. Mihai Udrescu 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 | 2 | |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | Creation and implementation of an interactive app for student orientation in a university | 3 |
| 8 | 26 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 20 | |
| 12 | 18 | |
| 13 | Obesity in association with Sleep Apnea Syndrome as predictor for coronary-vascular comorbidities. | 5 |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | Looking for human therapeutic intervention in the healing of fractures | 2 |
About Mihai Udrescu
Mihai Udrescu is a scholar working on Statistical and Nonlinear Physics, Hardware and Architecture and Computational Theory and Mathematics, having authored 77 papers that have together received 472 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (19 papers), Complex Network Analysis Techniques (19 papers) and Opinion Dynamics and Social Influence (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (108 citations), Computational Theory and Mathematics (107 citations) and Endocrine and Autonomic Systems (38 citations). Mihai Udrescu has collaborated with scholars based in Romania, United States and Belgium. Frequent co-authors include Alexandru Topîrceanu, Mircea Vlăduţiu, Lucian Prodan, Ștefan Mihăicuță, Radu Mărculescu, Paul Bogdan, Oana Boncalo, Ludovic Kurunczi, Mingxi Cheng and David M. Mannino. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.