Pál Maák

852 citations
29 papers · 594 indexed · h-index 9

Impact in

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

Papers in

Pál Maák

28 papers receiving 580 citations

Peers

Pál Maák
Comparison fields: 5 of 66
  • Biophysics 222
  • Cellular and Molecular Neuroscience 239
  • Cognitive Neuroscience 157
  • Acoustics and Ultrasonics 7
  • Structural Biology 7
Replace Gaddum Duemani Reddy with:
Gaddum Duemani Reddy United States
Volodymyr Nikolenko United States
Máté Veress Hungary
Balázs Chiovini Hungary
K. M. Naga Srinivas Nadella United Kingdom
Paul A. Kirkby United Kingdom
Oscar Hernandez United States
Mariya Chavarha United States
Keith J. Kelleher United States
Lamiae Abdeladim France
Pál Maák relative to Gaddum Duemani Reddy United States Gaddum Duemani Reddy's profile →
Citations per field
00.5×1.5×2.5×
Gaddum Duemani Reddy · 1×
Citations per year

Countries citing papers authored by Pál Maák

Since Specialization
Citations

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

Fields of papers citing papers by Pál Maák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pál Maák, 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 Pál Maák Line = papers co-authored together Pál Maák links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20226
3 201666
4 20142
5 201470
6 201237
7 2012270
8 20122
9 201019
10 20092
11 20094
12 200721
13 20068
14 20065
15 20042
16 20022
17 200214
18 200024
19 20001
20 19981

About Pál Maák

Pál Maák is a scholar working on Biophysics, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 29 papers that have together received 594 indexed citations. Recurring topics across this work include Optical and Acousto-Optic Technologies (17 papers), Photorefractive and Nonlinear Optics (9 papers), Photoacoustic and Ultrasonic Imaging (8 papers), Photonic and Optical Devices (8 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Photoreceptor and optogenetics research (5 papers), Neural dynamics and brain function (4 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Biophysics (222 citations), Cellular and Molecular Neuroscience (239 citations), Cognitive Neuroscience (157 citations), Acoustics and Ultrasonics (7 citations) and Structural Biology (7 citations). Pál Maák has collaborated with scholars based in Hungary, Switzerland and Germany. Frequent co-authors include Balázs Rózsa, Gergely Katona, Gergely Szalay, Balázs Chiovini, Máté Veress, Attila Kaszás, E. Sylvester Vizi, Dániel Hillier, Botond Roska and Péter Richter. Their work appears in journals such as Optics Communications, Neuron, Nature Methods, Optics Express and Journal of materials research/Pratt's guide to venture capital sources.

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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