Athanasia Papoutsi
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 13
- Memory and Neural Mechanisms 2
- Visual perception and processing mechanisms 1
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- Neuroscience and Neuropharmacology Research 11
- Neuroscience and Neural Engineering 6
- Photoreceptor and optogenetics research 5
- Biophysics top 10%
- Artificial Intelligence top 10%
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- Advanced Memory and Neural Computing 2
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- bioluminescence and chemiluminescence research 1
In The Last Decade
Athanasia Papoutsi
15 papers receiving 596 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 377
- Cellular and Molecular Neuroscience 298
- Biophysics 33
- Computational Mathematics 3
- Artificial Intelligence 108
Countries citing papers authored by Athanasia Papoutsi
This map shows the geographic impact of Athanasia Papoutsi'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 Athanasia Papoutsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Athanasia Papoutsi more than expected).
Fields of papers citing papers by Athanasia Papoutsi
This network shows the impact of papers produced by Athanasia Papoutsi. 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 Athanasia Papoutsi. The network helps show where Athanasia Papoutsi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Athanasia Papoutsi, 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 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2020 | 146 | |
| 4 | Dendritic action potentials and computation in human layer 2/3 cortical neuronsbreakdown → | 2020 | 309 |
| 5 | 2019 | 34 | |
| 6 | 2019 | 13 | |
| 7 | 2017 | 8 | |
| 8 | 2017 | 5 | |
| 9 | 2014 | 14 | |
| 10 | 2014 | 9 | |
| 11 | 2014 | 23 | |
| 12 | 2013 | 14 | |
| 13 | 2013 | 20 | |
| 14 | 2013 | 1 | |
| 15 | 2011 | 1 | |
| 16 | 2009 | 2 |
About Athanasia Papoutsi
Athanasia Papoutsi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 16 papers that have together received 601 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Neuroscience and Neuropharmacology Research (11 papers), Neuroscience and Neural Engineering (6 papers), Photoreceptor and optogenetics research (5 papers), Advanced Memory and Neural Computing (2 papers), Memory and Neural Mechanisms (2 papers), Visual perception and processing mechanisms (1 paper) and bioluminescence and chemiluminescence research (1 paper). The work is most often cited by research in Cognitive Neuroscience (377 citations), Cellular and Molecular Neuroscience (298 citations), Biophysics (33 citations), Computational Mathematics (3 citations) and Artificial Intelligence (108 citations). Athanasia Papoutsi has collaborated with scholars based in Greece, Bulgaria and Germany. Frequent co-authors include Panayiota Poirazi, Matthew E. Larkum, Imre Vida, Timothy A. Zolnik, Felix Bolduan, Pawel Fidzinski, Albert Gidon, Martin Holtkamp, Kyriaki Sidiropoulou and Vassilis Cutsuridis. Their work appears in journals such as Frontiers in Neural Circuits, BMC Neuroscience, PLoS Biology, PLoS Computational Biology and Science.
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.