Pétia Georgieva
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- Advanced Control Systems Optimization 20
- Fault Detection and Control Systems 13
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 14
- Neural dynamics and brain function 9
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- Emotion and Mood Recognition 6
- Artificial Intelligence top 10%
- Neural Networks and Applications 9
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- Crystallization and Solubility Studies 11
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- Blind Source Separation Techniques 7
- Co-authors
- S. Feyo de AzevedoPetia Koprinkova‐HristovaA. Andrade‐CamposIsabel M. SantosAchim IlchmannSudipta SealE.B. MartinA.J. Morris
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- PortugalBulgariaUnited States
In The Last Decade
Pétia Georgieva
92 papers receiving 863 citations
Peers
Comparison fields: 5 of 138
- Control and Systems Engineering 222
- Cognitive Neuroscience 153
- Experimental and Cognitive Psychology 80
- Space and Planetary Science 7
- Artificial Intelligence 159
Countries citing papers authored by Pétia Georgieva
This map shows the geographic impact of Pétia Georgieva'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 Pétia Georgieva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pétia Georgieva more than expected).
Fields of papers citing papers by Pétia Georgieva
This network shows the impact of papers produced by Pétia Georgieva. 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 Pétia Georgieva. The network helps show where Pétia Georgieva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pétia Georgieva, 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 | 1 | |
| 2 | 2025 | 15 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 15 | |
| 12 | 2023 | 6 | |
| 13 | 2018 | 23 | |
| 14 | 2015 | 45 | |
| 15 | 2014 | 9 | |
| 16 | Application of artificial neural networks in modeling and optimization of batch crystallization processes | 2013 | 2 |
| 17 | Aplicação de técnicas de aprendizagem automática para classificação de emoções humanas com sinais de EEG | 2013 | 1 |
| 18 | Linear invariant systems theory for signal enhancement | 2011 | 1 |
| 19 | 2010 | 1 | |
| 20 | 2006 | 3 |
About Pétia Georgieva
Pétia Georgieva is a scholar working on Space and Planetary Science, Control and Systems Engineering and Acoustics and Ultrasonics, having authored 101 papers that have together received 915 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (20 papers), EEG and Brain-Computer Interfaces (14 papers), Fault Detection and Control Systems (13 papers), Crystallization and Solubility Studies (11 papers), Neural dynamics and brain function (9 papers), Neural Networks and Applications (9 papers), Blind Source Separation Techniques (7 papers) and Emotion and Mood Recognition (6 papers). The work is most often cited by research in Control and Systems Engineering (222 citations), Cognitive Neuroscience (153 citations) and Experimental and Cognitive Psychology (80 citations). Pétia Georgieva has collaborated with scholars based in Portugal, Bulgaria and United States. Frequent co-authors include S. Feyo de Azevedo, Petia Koprinkova‐Hristova, A. Andrade‐Campos, Isabel M. Santos, Achim Ilchmann, Sudipta Seal, E.B. Martin, A.J. Morris, Arvind Agarwal and S. C. Kuiry. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.