Izabela Rejer
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
-
- EEG and Brain-Computer Interfaces 13
- Neural dynamics and brain function 6
- Neural and Behavioral Psychology Studies 3
-
- Neural Networks and Applications 7
- Evolutionary Algorithms and Applications 4
- Fuzzy Logic and Control Systems 3
- Co-authors
- Jarosław Jankowski (4 shared papers)Jordi Solé‐Casals (1 shared paper)Łukasz Radzimiński (1 shared paper)Tarmo Lipping (1 shared paper)Przemysław Różewski (1 shared paper)Mohammad Shahbakhti (1 shared paper)
- Journals
- Sensors (3 papers)Pattern Analysis and Applications (3 papers)Journal of Neural Engineering (2 papers)Expert Systems with Applications (1 paper)Genetic Programming and Evolvable Machines (1 paper)
- Partner nations
- PolandNetherlandsFinland
In The Last Decade
Izabela Rejer
25 papers receiving 209 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 129
- Signal Processing 54
- Human-Computer Interaction 19
- Cellular and Molecular Neuroscience 38
- Artificial Intelligence 53
Countries citing papers authored by Izabela Rejer
This map shows the geographic impact of Izabela Rejer'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 Izabela Rejer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Izabela Rejer more than expected).
Fields of papers citing papers by Izabela Rejer
This network shows the impact of papers produced by Izabela Rejer. 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 Izabela Rejer. The network helps show where Izabela Rejer may publish in the future.
Co-authors
The 6 scholars most cited alongside Izabela Rejer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 27 | |
| 2 | 2015 | 25 | |
| 3 | 2012 | 21 | |
| 4 | 2015 | 18 | |
| 5 | Genetic algorithm and forward method for feature selection in EEG feature space | 2013 | 17 |
| 6 | 2018 | 17 | |
| 7 | 2018 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 2015 | 7 | |
| 13 | 2017 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About Izabela Rejer
Izabela Rejer is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Cardiology and Cardiovascular Medicine and Human-Computer Interaction, having authored 26 papers that have together received 213 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (7 papers), Neural Networks and Applications (7 papers), Neural dynamics and brain function (6 papers), Evolutionary Algorithms and Applications (4 papers), Fuzzy Logic and Control Systems (3 papers), Neural and Behavioral Psychology Studies (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Cognitive Neuroscience (129 citations), Signal Processing (54 citations), Human-Computer Interaction (19 citations), Cellular and Molecular Neuroscience (38 citations) and Artificial Intelligence (53 citations). Izabela Rejer has collaborated with scholars based in Poland, Netherlands and Finland. Frequent co-authors include Jarosław Jankowski, Jordi Solé‐Casals, Łukasz Radzimiński, Tarmo Lipping, Przemysław Różewski and Mohammad Shahbakhti. Their work appears in journals such as Sensors, Pattern Analysis and Applications, Journal of Neural Engineering, Expert Systems with Applications and Genetic Programming and Evolvable Machines.
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.