Pavlos Protopapas
- Astronomy and Astrophysics top 5%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- N. A. D. ParleeHans Christian AndersenDavid SondakCharles AlcockRaúl JiménezKarim PicharaMarios MattheakisLicia Verde
- Topics
- Time Series Analysis and Forecasting (19 papers)Stellar, planetary, and galactic studies (18 papers)Model Reduction and Neural Networks (13 papers)
- Partner nations
- United StatesChileUnited Kingdom
In The Last Decade
Pavlos Protopapas
74 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Astronomy and Astrophysics 533
- Artificial Intelligence 325
- Signal Processing 314
- Computational Mechanics 257
- Statistical and Nonlinear Physics 234
Countries citing papers authored by Pavlos Protopapas
This map shows the geographic impact of Pavlos Protopapas'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 Pavlos Protopapas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavlos Protopapas more than expected).
Fields of papers citing papers by Pavlos Protopapas
This network shows the impact of papers produced by Pavlos Protopapas. 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 Pavlos Protopapas. The network helps show where Pavlos Protopapas may publish in the future.
Co-authorship network of co-authors of Pavlos Protopapas
This figure shows the co-authorship network connecting the top 25 collaborators of Pavlos Protopapas. A scholar is included among the top collaborators of Pavlos Protopapas 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 Pavlos Protopapas. Pavlos Protopapas 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 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 54 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | Finding multiple solutions of odes with neural networks | 4 |
| 14 | 40 | |
| 15 | Modeling the Effects of Students' Interactions with Immersive Simulations Using Markov Switching Systems. | 1 |
| 16 | 台湾-アメリカの掩蔽調査プロジェクト恒星の変動性III 58の新変光星の検出 | 3 |
| 17 | Automatic QSO Selection Algorithm Using Time Series Analysis and Machine Learning | 1 |
| 18 | A Novel GUI Based Interactive Work Flow Application for Exploratory and Batch Processing of Light Curves | 1 |
| 19 | 52 | |
| 20 | 59 |
About Pavlos Protopapas
Pavlos Protopapas is a scholar working on Instrumentation, Signal Processing and Astronomy and Astrophysics, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (19 papers), Stellar, planetary, and galactic studies (18 papers) and Model Reduction and Neural Networks (13 papers). The work is most often cited by research in Instrumentation (200 citations), Astronomy and Astrophysics (533 citations) and Signal Processing (314 citations). Pavlos Protopapas has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include N. A. D. Parlee, Hans Christian Andersen, David Sondak, Charles Alcock, Raúl Jiménez, Karim Pichara, Marios Mattheakis, Licia Verde, Dae Won Kim and P. A. Estévez. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and The Astrophysical Journal.
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.