Ovidiu Bagdasar
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- Advanced Mathematical Theories and Applications 19
- stochastic dynamics and bifurcation 6
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- Neural Networks Stability and Synchronization 9
- Nonlinear Dynamics and Pattern Formation 5
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- Advanced Combinatorial Mathematics 13
- Modeling and Simulation top 5%
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- Advanced Mathematical Identities 13
- Analytic Number Theory Research 9
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- Optimization and Variational Analysis 5
- Co-authors
- R. RajaJinde CaoPratap AnbalaganGrienggrai RajchakitDorin AndricaC. SowmiyaAntonio LiottaMichał Niezabitowski
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsDiscrete Mathematics and Combinatorics
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (2 papers)Sensors (1 paper)
- Partner nations
- United KingdomRomaniaChina
In The Last Decade
Ovidiu Bagdasar
61 papers receiving 590 citations
Peers
Comparison fields: 5 of 85
- Statistical and Nonlinear Physics 245
- Computer Networks and Communications 278
- Discrete Mathematics and Combinatorics 36
- Modeling and Simulation 52
- Algebra and Number Theory 39
Countries citing papers authored by Ovidiu Bagdasar
This map shows the geographic impact of Ovidiu Bagdasar'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 Ovidiu Bagdasar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ovidiu Bagdasar more than expected).
Fields of papers citing papers by Ovidiu Bagdasar
This network shows the impact of papers produced by Ovidiu Bagdasar. 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 Ovidiu Bagdasar. The network helps show where Ovidiu Bagdasar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ovidiu Bagdasar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 45 | |
| 16 | 2020 | 5 | |
| 17 | 2020 | 26 | |
| 18 | 2019 | 6 | |
| 19 | 2019 | 0 | |
| 20 | Local maximizers of generalized convex vector-valued functions. | 2017 | 4 |
About Ovidiu Bagdasar
Ovidiu Bagdasar is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory and Statistical and Nonlinear Physics, having authored 75 papers that have together received 625 indexed citations. Recurring topics across this work include Advanced Mathematical Theories and Applications (19 papers), Advanced Mathematical Identities (13 papers), Advanced Combinatorial Mathematics (13 papers), Analytic Number Theory Research (9 papers), Neural Networks Stability and Synchronization (9 papers), stochastic dynamics and bifurcation (6 papers), Optimization and Variational Analysis (5 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (245 citations), Computer Networks and Communications (278 citations) and Discrete Mathematics and Combinatorics (36 citations). Ovidiu Bagdasar has collaborated with scholars based in United Kingdom, Romania and China. Frequent co-authors include R. Raja, Jinde Cao, Pratap Anbalagan, Grienggrai Rajchakit, Dorin Andrica, C. Sowmiya, Antonio Liotta, Michał Niezabitowski, Giacomo Fiumara and Pasquale De Meo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.
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.