Viorel‐Puiu Paun
- Statistical and Nonlinear Physics top 5%
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
- Mechanics of Materials
- Materials Chemistry
- Co-authors
- Maricel AgopMaria-Alexandra PãunP. NicaSilviu GurluiP. IoannouCristian FocşaDan Gheorghe DimitriuDaniela Ailincai
- Topics
- Advanced Mathematical Theories and Applications (12 papers)Complex Systems and Time Series Analysis (9 papers)Theoretical and Computational Physics (7 papers)
- Journals
- IEEE AccessPhysics Letters APolymers
- Partner nations
- RomaniaSwitzerlandFrance
In The Last Decade
Viorel‐Puiu Paun
47 papers receiving 316 citations
Peers
Comparison fields: 5 of 89
- Statistical and Nonlinear Physics 102
- Atomic and Molecular Physics, and Optics 55
- Biomedical Engineering 40
- Mechanics of Materials 38
- Materials Chemistry 31
Countries citing papers authored by Viorel‐Puiu Paun
This map shows the geographic impact of Viorel‐Puiu Paun'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 Viorel‐Puiu Paun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viorel‐Puiu Paun more than expected).
Fields of papers citing papers by Viorel‐Puiu Paun
This network shows the impact of papers produced by Viorel‐Puiu Paun. 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 Viorel‐Puiu Paun. The network helps show where Viorel‐Puiu Paun may publish in the future.
Co-authorship network of co-authors of Viorel‐Puiu Paun
This figure shows the co-authorship network connecting the top 25 collaborators of Viorel‐Puiu Paun. A scholar is included among the top collaborators of Viorel‐Puiu Paun 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 Viorel‐Puiu Paun. Viorel‐Puiu Paun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | Big Data leverages Cloud Computing opportunities | 7 |
| 19 | On the erosion process prediction of the ductile materials | 0 |
| 20 | 19 |
About Viorel‐Puiu Paun
Viorel‐Puiu Paun is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Physical and Theoretical Chemistry, having authored 51 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Mathematical Theories and Applications (12 papers), Complex Systems and Time Series Analysis (9 papers) and Theoretical and Computational Physics (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (102 citations), Pharmaceutical Science (21 citations) and Modeling and Simulation (14 citations). Viorel‐Puiu Paun has collaborated with scholars based in Romania, Switzerland and France. Frequent co-authors include Maricel Agop, Maria-Alexandra Pãun, P. Nica, Silviu Gurlui, P. Ioannou, Cristian Focşa, Dan Gheorghe Dimitriu, Daniela Ailincai, Luminița Marin and Ramona Lungu. Their work appears in journals such as IEEE Access, Physics Letters A and Polymers.
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.