Richard Gao
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Biomedical Engineering
- Neurology top 10%
- Co-authors
- Bradley VoytekErik PetersonThomas DonoghueAvgusta Y. ShestyukRobert T. KnightTorben NotoParoma VarmaJoni D. Wallis
- Topics
- Neural dynamics and brain function (12 papers)EEG and Brain-Computer Interfaces (4 papers)Functional Brain Connectivity Studies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaNature NeuroscienceNeuroImage
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Richard Gao
17 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cognitive Neuroscience 1.8k
- Cellular and Molecular Neuroscience 769
- Molecular Biology 428
- Biomedical Engineering 210
- Neurology 186
Countries citing papers authored by Richard Gao
This map shows the geographic impact of Richard Gao'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 Richard Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Gao more than expected).
Fields of papers citing papers by Richard Gao
This network shows the impact of papers produced by Richard Gao. 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 Richard Gao. The network helps show where Richard Gao may publish in the future.
Co-authorship network of co-authors of Richard Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Gao. A scholar is included among the top collaborators of Richard Gao 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 Richard Gao. Richard Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | Parameterizing neural power spectra into periodic and aperiodic componentsbreakdown → | 1047 |
| 9 | 58 | |
| 10 | 151 | |
| 11 | 2 | |
| 12 | 35 | |
| 13 | 84 | |
| 14 | 25 | |
| 15 | Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Developmentbreakdown → | 538 |
| 16 | Automated Generation of Cognitive Ontology via Web Text-Mining. | 2 |
| 17 | Inferring synaptic excitation/inhibition balance from field potentialsbreakdown → | 541 |
| 18 | 51 |
About Richard Gao
Richard Gao is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 18 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), EEG and Brain-Computer Interfaces (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Cellular and Molecular Neuroscience (769 citations) and Developmental Neuroscience (116 citations). Richard Gao has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Bradley Voytek, Erik Peterson, Thomas Donoghue, Avgusta Y. Shestyuk, Robert T. Knight, Torben Noto, Paroma Varma, Joni D. Wallis, Antonio H. Lara and Ruud L. van den Brink. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and NeuroImage.
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.