Dániel Hillier

2.0k citations
20 papers · 1.1k · h-index 11

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

Dániel Hillier

18 papers receiving 1.1k citations

Peers

Dániel Hillier
Comparison fields: 5 of 88
  • Biophysics 200
  • Cellular and Molecular Neuroscience 605
  • Cognitive Neuroscience 396
  • Endocrine and Autonomic Systems 122
  • Sensory Systems 44
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Citations per field
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Citations per year

Countries citing papers authored by Dániel Hillier

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Hillier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012276
2 2007160
3 2015149
4 2013111
5 202094
6 201773
7 202271
8 202053
9 201838
10 201736
11 200610
12
Topographic cellular active contour techniques: theory, implementations and comparisons: Research Articles
20064
13 20083
14 20063
15 20092
16 20251
17 20071
18 20061
19 20250
20
Learning Partial Synchronization Regimes with Imposed Qualitative Behavior on an Array of Chua's Oscillators
20060

About Dániel Hillier

Dániel Hillier is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Photoreceptor and optogenetics research (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Retinal Development and Disorders (4 papers), Neural Networks and Applications (4 papers), Virus-based gene therapy research (3 papers), Cellular Automata and Applications (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Biophysics (200 citations), Cellular and Molecular Neuroscience (605 citations), Cognitive Neuroscience (396 citations), Endocrine and Autonomic Systems (122 citations) and Sensory Systems (44 citations). Dániel Hillier has collaborated with scholars based in Hungary, Switzerland and United States. Frequent co-authors include Botond Roska, Balázs Rózsa, Gergely Szalay, Gergely Katona, Karl‐Klaus Conzelmann, Kamill Bálint, Máté Veress, Balázs Chiovini, E. Sylvester Vizi and Attila Kaszás. Their work appears in journals such as Neuron, Nature Neuroscience, International Journal of Circuit Theory and Applications, Science and Nature Methods.

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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