Iulia M. Comșa
Impact in
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- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
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- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
Papers in
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- Neural dynamics and brain function 4
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- Advanced Text Analysis Techniques 1
- Co-authors
- Tristán Bekinschtein (1 shared paper)Srivas Chennu (1 shared paper)Luca Versari (4 shared papers)Thomas Fischbacher (3 shared papers)Krzysztof Potempa (2 shared papers)Zoltán Szabadka (1 shared paper)Sebastián Gómez (1 shared paper)Jon Sneyers (1 shared paper)
- Journals
- Brain Topography (1 paper)Neuron (1 paper)Cognitive Science (1 paper)Frontiers in Neuroscience (1 paper)Astronomische Nachrichten (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Iulia M. Comșa
10 papers receiving 195 citations
Peers
Comparison fields: 5 of 37
- Cognitive Neuroscience 80
- Computer Vision and Pattern Recognition 70
- Signal Processing 18
- Experimental and Cognitive Psychology 16
- Cellular and Molecular Neuroscience 19
Countries citing papers authored by Iulia M. Comșa
This map shows the geographic impact of Iulia M. Comșa'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 Iulia M. Comșa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iulia M. Comșa more than expected).
Fields of papers citing papers by Iulia M. Comșa
This network shows the impact of papers produced by Iulia M. Comșa. 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 Iulia M. Comșa. The network helps show where Iulia M. Comșa may publish in the future.
Co-authors
The 25 scholars most cited alongside Iulia M. Comșa, 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 | 2019 | 70 | |
| 2 | 2018 | 49 | |
| 3 | 2021 | 39 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 12 | |
| 6 | 2013 | 8 | |
| 7 | 2020 | 4 | |
| 8 | 2022 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2023 | 1 |
About Iulia M. Comșa
Iulia M. Comșa is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 198 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Advanced Memory and Neural Computing (3 papers), Language, Metaphor, and Cognition (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), Video Coding and Compression Technologies (1 paper), Image and Signal Denoising Methods (1 paper), Multisensory perception and integration (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (80 citations), Computer Vision and Pattern Recognition (70 citations), Signal Processing (18 citations), Experimental and Cognitive Psychology (16 citations) and Cellular and Molecular Neuroscience (19 citations). Iulia M. Comșa has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Tristán Bekinschtein, Srivas Chennu, Luca Versari, Thomas Fischbacher, Krzysztof Potempa, Zoltán Szabadka, Sebastián Gómez, Jon Sneyers, Timothée Masquelier and Claudia Clopath. Their work appears in journals such as Brain Topography, Neuron, Cognitive Science, Frontiers in Neuroscience and Astronomische Nachrichten.
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.