Lancelot Da Costa
- Cognitive Neuroscience top 5%
- Statistical and Nonlinear Physics top 5%
- History and Philosophy of Science top 2%
- Artificial Intelligence
- Social Psychology
- Co-authors
- Karl FristonThomas ParrConor HeinsNoor SajidGrigorios A. PavliotisKai UeltzhöfferDanijar HafnerCasper Hesp
- Topics
- Neural dynamics and brain function (13 papers)Advanced Thermodynamics and Statistical Mechanics (8 papers)Embodied and Extended Cognition (6 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysics ReportsExpert Systems with Applications
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Lancelot Da Costa
25 papers receiving 477 citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 317
- Statistical and Nonlinear Physics 103
- History and Philosophy of Science 65
- Artificial Intelligence 61
- Social Psychology 52
Countries citing papers authored by Lancelot Da Costa
This map shows the geographic impact of Lancelot Da Costa'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 Lancelot Da Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lancelot Da Costa more than expected).
Fields of papers citing papers by Lancelot Da Costa
This network shows the impact of papers produced by Lancelot Da Costa. 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 Lancelot Da Costa. The network helps show where Lancelot Da Costa may publish in the future.
Co-authorship network of co-authors of Lancelot Da Costa
This figure shows the co-authorship network connecting the top 25 collaborators of Lancelot Da Costa. A scholar is included among the top collaborators of Lancelot Da Costa 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 Lancelot Da Costa. Lancelot Da Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 20 | |
| 6 | 13 | |
| 7 | 44 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 53 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 21 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | Natural selection finds natural gradient | 4 |
| 20 | 29 |
About Lancelot Da Costa
Lancelot Da Costa is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and History and Philosophy of Science, having authored 27 papers that have together received 491 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers) and Embodied and Extended Cognition (6 papers). The work is most often cited by research in Cognitive Neuroscience (317 citations), History and Philosophy of Science (65 citations) and Statistical and Nonlinear Physics (103 citations). Lancelot Da Costa has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Karl Friston, Thomas Parr, Conor Heins, Noor Sajid, Grigorios A. Pavliotis, Kai Ueltzhöffer, Danijar Hafner, Casper Hesp, Beren Millidge and Sergio Rubin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physics Reports and Expert Systems with Applications.
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.