Lawrence J. Cauller
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Psychiatry and Mental health
- Co-authors
- Barbara ClancyBarry W. ConnorsJeong‐Bong LeeBartley D. MitchellSunghoon ChoHong LuMario I. Romero‐OrtegaGareth A. Hughes
- Topics
- Neural dynamics and brain function (7 papers)Neuroscience and Neuropharmacology Research (6 papers)Neuroscience and Neural Engineering (6 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Lawrence J. Cauller
15 papers receiving 576 citations
Peers
Comparison fields: 5 of 80
- Cellular and Molecular Neuroscience 351
- Cognitive Neuroscience 350
- Biomedical Engineering 109
- Electrical and Electronic Engineering 93
- Psychiatry and Mental health 47
Countries citing papers authored by Lawrence J. Cauller
This map shows the geographic impact of Lawrence J. Cauller'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 Lawrence J. Cauller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence J. Cauller more than expected).
Fields of papers citing papers by Lawrence J. Cauller
This network shows the impact of papers produced by Lawrence J. Cauller. 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 Lawrence J. Cauller. The network helps show where Lawrence J. Cauller may publish in the future.
Co-authorship network of co-authors of Lawrence J. Cauller
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence J. Cauller. A scholar is included among the top collaborators of Lawrence J. Cauller 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 Lawrence J. Cauller. Lawrence J. Cauller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 34 | |
| 3 | 13 | |
| 4 | 87 | |
| 5 | 33 | |
| 6 | 52 | |
| 7 | 56 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 73 | |
| 11 | 18 | |
| 12 | 160 | |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 14 |
About Lawrence J. Cauller
Lawrence J. Cauller is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 15 papers that have together received 591 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (351 citations), Cognitive Neuroscience (350 citations) and Developmental Neuroscience (44 citations). Lawrence J. Cauller has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Barbara Clancy, Barry W. Connors, Jeong‐Bong Lee, Bartley D. Mitchell, Sunghoon Cho, Hong Lu, Mario I. Romero‐Ortega, Gareth A. Hughes, Mark Jackson and Janet K. Kern. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research and Neuroreport.
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.