Robert Law
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 4
- Functional Brain Connectivity Studies 2
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- Neuroscience and Neural Engineering 2
- Neuroscience and Neuropharmacology Research 1
- Photoreceptor and optogenetics research 1
- Co-authors
- Stephanie R. Jones (3 shared papers)Christopher I. Moore (3 shared papers)Shane Lee (2 shared papers)Hyeyoung Shin (2 shared papers)Matti Hämäläinen (1 shared paper)Saskia Haegens (1 shared paper)Maxwell A. Sherman (1 shared paper)Catherine A. Thorn (1 shared paper)
- Journals
- Cerebral Cortex (1 paper)eLife (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Theoretical Biology and Medical Modelling (1 paper)
- Partner nations
- United StatesAustraliaFinland
In The Last Decade
Robert Law
6 papers receiving 759 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 631
- Cellular and Molecular Neuroscience 301
- Neurology 102
- Signal Processing 41
- Neurology 30
Countries citing papers authored by Robert Law
This map shows the geographic impact of Robert Law'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 Robert Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Law more than expected).
Fields of papers citing papers by Robert Law
This network shows the impact of papers produced by Robert Law. 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 Robert Law. The network helps show where Robert Law may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Law, 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 | 2016 | 299 | |
| 2 | 2009 | 210 | |
| 3 | 2017 | 188 | |
| 4 | 2015 | 45 | |
| 5 | 2021 | 27 | |
| 6 | 2024 | 3 |
About Robert Law
Robert Law is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Paleontology and Electrical and Electronic Engineering, having authored 6 papers that have together received 772 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (2 papers), Functional Brain Connectivity Studies (2 papers), Neuroscience and Neuropharmacology Research (1 paper), Planarian Biology and Electrostimulation (1 paper), Photoreceptor and optogenetics research (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Cognitive Neuroscience (631 citations), Cellular and Molecular Neuroscience (301 citations), Neurology (102 citations), Signal Processing (41 citations) and Neurology (30 citations). Robert Law has collaborated with scholars based in United States, Australia and Finland. Frequent co-authors include Stephanie R. Jones, Christopher I. Moore, Shane Lee, Hyeyoung Shin, Matti Hämäläinen, Saskia Haegens, Maxwell A. Sherman, Catherine A. Thorn, Michael Levin and Alfonso Nieto-Castañón. Their work appears in journals such as Cerebral Cortex, eLife, Proceedings of the National Academy of Sciences, PLoS ONE and Theoretical Biology and Medical Modelling.
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.