Matéj Hejda

835 citations
35 papers · 549 · h-index 14

Impact in

Papers in

Matéj Hejda

32 papers receiving 529 citations

Peers

Matéj Hejda
Comparison fields: 5 of 41
  • Artificial Intelligence 456
  • Electrical and Electronic Engineering 489
  • Acoustics and Ultrasonics 7
  • Cognitive Neuroscience 74
  • Surfaces, Coatings and Films 21
Replace Pauline Mechet with:
Pauline Mechet Belgium
Julián Bueno United Kingdom
Yue Tian United States
Hsuan-Tung Peng United States
Alexander Sludds United States
Kristof Vandoorne Belgium
Weifang Huang China
Jinlong Xiang China
François Duport France
Allie X. Wu United States
Matéj Hejda relative to Pauline Mechet Belgium Pauline Mechet's profile →
Citations per field
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Pauline Mechet · 1×
Citations per year

Countries citing papers authored by Matéj Hejda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Matéj Hejda Line = papers co-authored together Matéj Hejda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202075
2 202154
3 202253
4 202250
5 202133
6 202233
7 202131
8 202230
9 202227
10 202026
11 202025
12 202316
13 202215
14 202114
15 202311
16 20237
17 20236
18 20226
19 20226
20 20225

About Matéj Hejda

Matéj Hejda is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 35 papers that have together received 549 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (31 papers), Photonic and Optical Devices (20 papers), Advanced Memory and Neural Computing (19 papers), Optical Network Technologies (15 papers), Neural dynamics and brain function (5 papers), Advanced X-ray Imaging Techniques (1 paper), Electrostatics and Colloid Interactions (1 paper) and Surgical Sutures and Adhesives (1 paper). The work is most often cited by research in Artificial Intelligence (456 citations), Electrical and Electronic Engineering (489 citations), Acoustics and Ultrasonics (7 citations), Cognitive Neuroscience (74 citations) and Surfaces, Coatings and Films (21 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, Bruno Romeira, Gaetano Di Caterina, J. M. L. Figueiredo and Paul Kirkland. Their work appears in journals such as Optical Materials Express, Optics Express, Scientific Reports, IEEE Journal of Selected Topics in Quantum Electronics and Physical Review Applied.

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.

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