P. Płoński
Impact in
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- Reading and Literacy Development
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- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neurobiology of Language and Bilingualism
- Tactile and Sensory Interactions
Papers in
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- Face and Expression Recognition 3
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- Neural Networks and Applications 2
- Advanced Clustering Algorithms Research 1
- Fuzzy Logic and Control Systems 1
- Co-authors
- К. Заремба (4 shared papers)Artur Marchewka (2 shared papers)Katarzyna Jednoróg (2 shared papers)Piotr Bogorodzki (2 shared papers)Franck Ramus (1 shared paper)Karla Monzalvo (1 shared paper)Irène Altarelli (1 shared paper)Stefan Heim (1 shared paper)
In The Last Decade
P. Płoński
9 papers receiving 106 citations
Peers
Comparison fields: 5 of 51
- Developmental and Educational Psychology 31
- Cognitive Neuroscience 39
- Statistics and Probability 14
- Human-Computer Interaction 8
- Artificial Intelligence 26
Countries citing papers authored by P. Płoński
This map shows the geographic impact of P. Płoński'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 P. Płoński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Płoński more than expected).
Fields of papers citing papers by P. Płoński
This network shows the impact of papers produced by P. Płoński. 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 P. Płoński. The network helps show where P. Płoński may publish in the future.
Co-authors
The 16 scholars most cited alongside P. Płoński, 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 | 2016 | 55 | |
| 2 | 2010 | 12 | |
| 3 | 2012 | 10 | |
| 4 | Visualizing Random Forest with Self-Organising Map | 2016 | 9 |
| 5 | 2014 | 8 | |
| 6 | 2012 | 6 | |
| 7 | 2013 | 4 | |
| 8 | 2010 | 3 | |
| 9 | 2013 | 2 | |
| 10 | 2015 | 0 |
About P. Płoński
P. Płoński is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Media Technology and Developmental and Educational Psychology, having authored 10 papers that have together received 109 indexed citations. Recurring topics across this work include Face and Expression Recognition (3 papers), Reading and Literacy Development (2 papers), Neural Networks and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers), Scientific Research and Discoveries (1 paper), Advanced Clustering Algorithms Research (1 paper), Fuzzy Logic and Control Systems (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Developmental and Educational Psychology (31 citations), Cognitive Neuroscience (39 citations), Statistics and Probability (14 citations), Human-Computer Interaction (8 citations) and Artificial Intelligence (26 citations). P. Płoński has collaborated with scholars based in Poland, Belgium and Germany. Frequent co-authors include К. Заремба, Artur Marchewka, Katarzyna Jednoróg, Piotr Bogorodzki, Franck Ramus, Karla Monzalvo, Irène Altarelli, Stefan Heim, Marion Grande and Krzysztof M. Graczyk. Their work appears in journals such as Human Brain Mapping, Journal of High Energy Physics, Molecular Phylogenetics and Evolution, Lecture notes in computer science and Computational Biology and Chemistry.
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.