András Ecker
Impact in
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- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 6
- Functional Brain Connectivity Studies 4
- Memory and Neural Mechanisms 1
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- Neuroscience and Neuropharmacology Research 2
- Neuroscience and Neural Engineering 1
- Photoreceptor and optogenetics research 1
- Co-authors
- Eilif Müller (4 shared papers)Michael Reimann (5 shared papers)Rodrigo Perin (1 shared paper)Anıl Tuncel (1 shared paper)Michele Migliore (1 shared paper)Pramod Kumbhar (2 shared papers)Michael Graupner (1 shared paper)Audrey Mercer (1 shared paper)
- Journals
- Nature Communications (1 paper)iScience (1 paper)Hippocampus (1 paper)eLife (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- SwitzerlandCanadaHungary
In The Last Decade
András Ecker
6 papers receiving 78 citations
Peers
Comparison fields: 5 of 25
- Cognitive Neuroscience 62
- Cellular and Molecular Neuroscience 49
- Neurology 8
- Structural Biology 1
- Biophysics 3
Countries citing papers authored by András Ecker
This map shows the geographic impact of András Ecker'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 András Ecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Ecker more than expected).
Fields of papers citing papers by András Ecker
This network shows the impact of papers produced by András Ecker. 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 András Ecker. The network helps show where András Ecker may publish in the future.
Co-authors
The 25 scholars most cited alongside András Ecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 43 | |
| 2 | 2020 | 27 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2026 | 0 |
About András Ecker
András Ecker is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Computational Theory and Mathematics and Infectious Diseases, having authored 7 papers that have together received 78 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (4 papers), Advanced Memory and Neural Computing (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neuroscience and Neural Engineering (1 paper), Computational Drug Discovery Methods (1 paper), Memory and Neural Mechanisms (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cognitive Neuroscience (62 citations), Cellular and Molecular Neuroscience (49 citations), Neurology (8 citations), Structural Biology (1 citation) and Biophysics (3 citations). András Ecker has collaborated with scholars based in Switzerland, Canada and Hungary. Frequent co-authors include Eilif Müller, Michael Reimann, Rodrigo Perin, Anıl Tuncel, Michele Migliore, Pramod Kumbhar, Michael Graupner, Audrey Mercer, Srikanth Ramaswamy and Alex M. Thomson. Their work appears in journals such as Nature Communications, iScience, Hippocampus, eLife and Drug Discovery Today.
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.