Robert Law
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
-
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neural dynamics and brain function 4
- EEG and Brain-Computer Interfaces 4
- Functional Brain Connectivity Studies 2
-
- Neuroscience and Neural Engineering 1
- Photoreceptor and optogenetics research 1
- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Stephanie R. Jones (3 shared papers)Christopher I. Moore (3 shared papers)Hyeyoung Shin (2 shared papers)Shane Lee (2 shared papers)Maxwell A. Sherman (1 shared paper)Matti Hämäläinen (1 shared paper)Saskia Haegens (1 shared paper)Catherine A. Thorn (1 shared paper)
- Journals
- Theoretical Biology and Medical Modelling (1 paper)eLife (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cell Reports (1 paper)Cerebral Cortex (1 paper)
- Partner nations
- United StatesFinlandChina
In The Last Decade
Robert Law
6 papers receiving 781 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 608
- Cellular and Molecular Neuroscience 276
- Neurology 96
- Neurology 37
- Signal Processing 39
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 | 304 | |
| 2 | 2009 | 212 | |
| 3 | 2017 | 198 | |
| 4 | 2015 | 46 | |
| 5 | 2021 | 28 | |
| 6 | 2024 | 4 |
About Robert Law
Robert Law is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 792 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (4 papers), Functional Brain Connectivity Studies (2 papers), Neuroscience and Neural Engineering (1 paper), Photoreceptor and optogenetics research (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Planarian Biology and Electrostimulation (1 paper). The work is most often cited by research in Cognitive Neuroscience (608 citations), Cellular and Molecular Neuroscience (276 citations), Neurology (96 citations), Neurology (37 citations) and Signal Processing (39 citations). Robert Law has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Stephanie R. Jones, Christopher I. Moore, Hyeyoung Shin, Shane Lee, Maxwell A. Sherman, Matti Hämäläinen, Saskia Haegens, Catherine A. Thorn, Michael Levin and Frank H. Guenther. Their work appears in journals such as Theoretical Biology and Medical Modelling, eLife, Proceedings of the National Academy of Sciences, Cell Reports and Cerebral Cortex.
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.