Andreas S. Tolias
- Cognitive Neuroscience top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Alexander S. EckerJacob ReimerPhilipp BerensMatthias BethgeNikos K. LogothetisCathryn R. CadwellGido M. van de VenGeorge H. Denfield
- Topics
- Neural dynamics and brain function (61 papers)Visual perception and processing mechanisms (33 papers)Neuroscience and Neural Engineering (11 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Andreas S. Tolias
93 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cognitive Neuroscience 6.0k
- Cellular and Molecular Neuroscience 3.2k
- Molecular Biology 1.2k
- Artificial Intelligence 641
- Electrical and Electronic Engineering 633
Countries citing papers authored by Andreas S. Tolias
This map shows the geographic impact of Andreas S. Tolias'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 Andreas S. Tolias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas S. Tolias more than expected).
Fields of papers citing papers by Andreas S. Tolias
This network shows the impact of papers produced by Andreas S. Tolias. 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 Andreas S. Tolias. The network helps show where Andreas S. Tolias may publish in the future.
Co-authorship network of co-authors of Andreas S. Tolias
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas S. Tolias. A scholar is included among the top collaborators of Andreas S. Tolias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas S. Tolias. Andreas S. Tolias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 12 | |
| 3 | 14 | |
| 4 | 9 | |
| 5 | 19 | |
| 6 | 173 | |
| 7 | 32 | |
| 8 | 21 | |
| 9 | 25 | |
| 10 | 63 | |
| 11 | 154 | |
| 12 | 92 | |
| 13 | 25 | |
| 14 | Stimulus domain transfer in recurrent models for large scale cortical population prediction on video | 2 |
| 15 | 3 | |
| 16 | 177 | |
| 17 | 443 | |
| 18 | 44 | |
| 19 | 2 | |
| 20 | Prediction on Spike Data Using Kernel Algorithms | 19 |
About Andreas S. Tolias
Andreas S. Tolias is a scholar working on Cognitive Neuroscience, Biophysics and Cellular and Molecular Neuroscience, having authored 93 papers that have together received 8.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (61 papers), Visual perception and processing mechanisms (33 papers) and Neuroscience and Neural Engineering (11 papers). The work is most often cited by research in Cognitive Neuroscience (6.0k citations), Cellular and Molecular Neuroscience (3.2k citations) and Biophysics (541 citations). Andreas S. Tolias has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Alexander S. Ecker, Jacob Reimer, Philipp Berens, Matthias Bethge, Nikos K. Logothetis, Cathryn R. Cadwell, Gido M. van de Ven, George H. Denfield, Stelios M. Smirnakis and Emmanouil Froudarakis. Their work appears in journals such as Nature, Science and Cell.
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.