Jaan Aru
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Visual perception and processing mechanisms
- Memory and Neural Mechanisms
- Embodied and Extended Cognition
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neural dynamics and brain function 29
- Functional Brain Connectivity Studies 14
- EEG and Brain-Computer Interfaces 13
- Visual perception and processing mechanisms 11
- Neural and Behavioral Psychology Studies 11
- Face Recognition and Perception 6
- Co-authors
- Talis BachmannWolf SingerLucía MelloniMatthew E. LarkumMototaka SuzukiMichael WibralRaúl VicenteRenate Rutiku
In The Last Decade
Jaan Aru
58 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 118
- Cognitive Neuroscience 1.8k
- Cellular and Molecular Neuroscience 322
- Experimental and Cognitive Psychology 201
- Sensory Systems 66
- Human-Computer Interaction 59
Countries citing papers authored by Jaan Aru
This map shows the geographic impact of Jaan Aru'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 Jaan Aru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaan Aru more than expected).
Fields of papers citing papers by Jaan Aru
This network shows the impact of papers produced by Jaan Aru. 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 Jaan Aru. The network helps show where Jaan Aru may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaan Aru, 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 | 2025 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 43 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 0 | |
| 10 | 2020 | 158 | |
| 11 | 2018 | 61 | |
| 12 | 2017 | 22 | |
| 13 | 2015 | 8 | |
| 14 | 2015 | 52 | |
| 15 | 2014 | 394 | |
| 16 | 2013 | 125 | |
| 17 | 2012 | 1 | |
| 18 | 2012 | 67 | |
| 19 | 2011 | 10 | |
| 20 | 2009 | 27 |
About Jaan Aru
Jaan Aru is a scholar working on Cognitive Neuroscience, Sensory Systems, Experimental and Cognitive Psychology, Social Psychology and Human-Computer Interaction, having authored 61 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (29 papers), Functional Brain Connectivity Studies (14 papers), EEG and Brain-Computer Interfaces (13 papers), Visual perception and processing mechanisms (11 papers), Neural and Behavioral Psychology Studies (11 papers), Action Observation and Synchronization (7 papers), Face Recognition and Perception (6 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Cellular and Molecular Neuroscience (322 citations), Experimental and Cognitive Psychology (201 citations), Sensory Systems (66 citations) and Human-Computer Interaction (59 citations). Jaan Aru has collaborated with scholars based in Estonia, Germany and Australia. Frequent co-authors include Talis Bachmann, Wolf Singer, Lucía Melloni, Matthew E. Larkum, Mototaka Suzuki, Michael Wibral, Raúl Vicente, Renate Rutiku, Juhan Aru and Gordon Pipa. Their work appears in journals such as Consciousness and Cognition, Trends in Cognitive Sciences, Neuroscience of Consciousness, Frontiers in Human Neuroscience and Neuroscience & Biobehavioral Reviews.
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.