Matéj Hejda
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
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- Photonic and Optical Devices
- Advanced Memory and Neural Computing
- Optical Network Technologies
- Semiconductor Lasers and Optical Devices
Papers in
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- Neural Networks and Reservoir Computing 37
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- Photonic and Optical Devices 24
- Advanced Memory and Neural Computing 22
- Optical Network Technologies 17
- Co-authors
- Antonio Hurtado (35 shared papers)Joshua Robertson (23 shared papers)Julián Bueno (11 shared papers)Juan Arturo Alanis (7 shared papers)Shuiying Xiang (4 shared papers)Yahui Zhang (3 shared papers)J. M. L. Figueiredo (13 shared papers)Bruno Romeira (14 shared papers)
- Journals
- IEEE Journal of Selected Topics in Quantum Electronics (3 papers)Optical Materials Express (3 papers)Scientific Reports (2 papers)Optics Express (2 papers)APL Photonics (1 paper)
- Partner nations
- United KingdomPortugalSpain
In The Last Decade
Matéj Hejda
38 papers receiving 603 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 517
- Electrical and Electronic Engineering 536
- Acoustics and Ultrasonics 7
- Cognitive Neuroscience 75
- Surfaces, Coatings and Films 24
Countries citing papers authored by Matéj Hejda
This map shows the geographic impact of Matéj Hejda'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 Matéj Hejda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matéj Hejda more than expected).
Fields of papers citing papers by Matéj Hejda
This network shows the impact of papers produced by Matéj Hejda. 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 Matéj Hejda. The network helps show where Matéj Hejda may publish in the future.
Co-authors
The 25 scholars most cited alongside Matéj Hejda, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 82 | |
| 2 | 2022 | 62 | |
| 3 | 2022 | 57 | |
| 4 | 2021 | 56 | |
| 5 | 2022 | 38 | |
| 6 | 2021 | 37 | |
| 7 | 2022 | 36 | |
| 8 | 2022 | 36 | |
| 9 | 2021 | 31 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 26 | |
| 12 | 2023 | 18 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2023 | 13 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2025 | 8 | |
| 20 | 2022 | 7 |
About Matéj Hejda
Matéj Hejda is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience, Biophysics and Radiation, having authored 41 papers that have together received 634 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (37 papers), Photonic and Optical Devices (24 papers), Advanced Memory and Neural Computing (22 papers), Optical Network Technologies (17 papers), Neural dynamics and brain function (6 papers), Quantum Dots Synthesis And Properties (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Digital Holography and Microscopy (1 paper). The work is most often cited by research in Artificial Intelligence (517 citations), Electrical and Electronic Engineering (536 citations), Acoustics and Ultrasonics (7 citations), Cognitive Neuroscience (75 citations) and Surfaces, Coatings and Films (24 citations). Matéj Hejda has collaborated with scholars based in United Kingdom, Portugal and Spain. Frequent co-authors include Antonio Hurtado, Joshua Robertson, Julián Bueno, Juan Arturo Alanis, Shuiying Xiang, Yahui Zhang, J. M. L. Figueiredo, Bruno Romeira, Gaetano Di Caterina and Paul Kirkland. Their work appears in journals such as IEEE Journal of Selected Topics in Quantum Electronics, Optical Materials Express, Scientific Reports, Optics Express and APL Photonics.
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.