Radu Nicolescu
- Molecular Biology
- Mechanical Engineering
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Co-authors
- Michael J. DinneenM.R. TitchenerYezhou LiuJing SunPetar RadanlievDavid De RoureLudwig StaigerRafael Mantilla Montalvo
- Topics
- DNA and Biological Computing (24 papers)Advanced biosensing and bioanalysis techniques (14 papers)Modular Robots and Swarm Intelligence (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaTheoretical Computer ScienceComputer Communications
- Partner nations
- New ZealandGermanyRomania
In The Last Decade
Radu Nicolescu
29 papers receiving 160 citations
Peers
Comparison fields: 5 of 43
- Molecular Biology 92
- Mechanical Engineering 54
- Computational Theory and Mathematics 50
- Artificial Intelligence 47
- Computer Networks and Communications 28
Countries citing papers authored by Radu Nicolescu
This map shows the geographic impact of Radu Nicolescu'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 Radu Nicolescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Nicolescu more than expected).
Fields of papers citing papers by Radu Nicolescu
This network shows the impact of papers produced by Radu Nicolescu. 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 Radu Nicolescu. The network helps show where Radu Nicolescu may publish in the future.
Co-authorship network of co-authors of Radu Nicolescu
This figure shows the co-authorship network connecting the top 25 collaborators of Radu Nicolescu. A scholar is included among the top collaborators of Radu Nicolescu 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 Radu Nicolescu. Radu Nicolescu 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | A Sublinear Sudoku Solution in cP Systems and its Formal Verification. | 1 |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 21 | |
| 20 | 10 |
About Radu Nicolescu
Radu Nicolescu is a scholar working on Computational Theory and Mathematics, Molecular Biology and Mechanical Engineering, having authored 34 papers that have together received 174 indexed citations. Recurring topics across this work include DNA and Biological Computing (24 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Modular Robots and Swarm Intelligence (12 papers). The work is most often cited by research in Computational Theory and Mathematics (50 citations), Hardware and Architecture (10 citations) and Artificial Intelligence (47 citations). Radu Nicolescu has collaborated with scholars based in New Zealand, Germany and Romania. Frequent co-authors include Michael J. Dinneen, M.R. Titchener, Yezhou Liu, Jing Sun, Petar Radanliev, David De Roure, Ludwig Staiger, Rafael Mantilla Montalvo, Jason R. C. Nurse and Michael Huth. Their work appears in journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and Computer Communications.
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.