Máté Veress

498 citations
7 papers · 351 indexed · h-index 4

Impact in

  • Biophysics top 1%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering
    • Neuroscience and Neuropharmacology Research

Papers in

Máté Veress

7 papers receiving 339 citations

Peers

Máté Veress
Comparison fields: 5 of 49
  • Biophysics 199
  • Cellular and Molecular Neuroscience 159
  • Acoustics and Ultrasonics 7
  • Cognitive Neuroscience 98
  • Structural Biology 7
Replace K. M. Naga Srinivas Nadella with:
K. M. Naga Srinivas Nadella United Kingdom
Paul A. Kirkby United Kingdom
Balázs Chiovini Hungary
Ming Fan China
Pál Maák Hungary
Rongwen Lu United States
Oscar Hernandez United States
Marcel van ’t Hoff France
Stephen W. Evans United States
Dongqing Shi United States
Máté Veress relative to K. M. Naga Srinivas Nadella United Kingdom K. M. Naga Srinivas Nadella's profile →
Citations per field
00.5×2.8×
K. M. Naga Srinivas Nadella · 1×
Citations per year

Countries citing papers authored by Máté Veress

Since Specialization
Citations

This map shows the geographic impact of Máté Veress'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 Máté Veress with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máté Veress more than expected).

Fields of papers citing papers by Máté Veress

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Máté Veress. 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 Máté Veress. The network helps show where Máté Veress may publish in the future.

Co-authors

The 19 scholars most cited alongside Máté Veress, 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 Máté Veress Line = papers co-authored together Máté Veress links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 20226
2 201666
3 20152
4 20153
5 2012270
6 20112
7 20092

About Máté Veress

Máté Veress is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Media Technology, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 7 papers that have together received 351 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Optical and Acousto-Optic Technologies (3 papers), Photoreceptor and optogenetics research (2 papers), Cell Image Analysis Techniques (2 papers), Neural dynamics and brain function (1 paper), Optical Coherence Tomography Applications (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (199 citations), Cellular and Molecular Neuroscience (159 citations), Acoustics and Ultrasonics (7 citations), Cognitive Neuroscience (98 citations) and Structural Biology (7 citations). Máté Veress has collaborated with scholars based in Hungary and Switzerland. Frequent co-authors include Pál Maák, Balázs Rózsa, Gergely Katona, Balázs Chiovini, Gergely Szalay, Dániel Hillier, E. Sylvester Vizi, Attila Kaszás, Botond Roska and Gábor Juhász. Their work appears in journals such as Nature Methods, Neuron, Optics Express, Optics Communications and Orvosi Hetilap.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026