Christopher Langdon
Impact in
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- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
Papers in
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- Neural dynamics and brain function 3
- Memory and Neural Mechanisms 1
- EEG and Brain-Computer Interfaces 1
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- Neural Networks and Applications 2
- Co-authors
- Tatiana A. Engel (3 shared papers)Mikhail Genkin (1 shared paper)Vincent Breton‐Provencher (1 shared paper)Srikanth Ramaswamy (1 shared paper)Grace W. Lindsay (1 shared paper)James M. Shine (1 shared paper)Torben Ott (1 shared paper)Megan A. K. Peters (1 shared paper)
- Journals
- Nature reviews. Neuroscience (1 paper)Nature Neuroscience (1 paper)Journal of Neuroscience (1 paper)European Journal of Mathematics (1 paper)MPG.PuRe (Max Planck Society) (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Christopher Langdon
4 papers receiving 94 citations
Peers
Comparison fields: 5 of 38
- Cognitive Neuroscience 62
- Computational Mathematics 1
- Cellular and Molecular Neuroscience 21
- Health Informatics 1
- Aging 1
Countries citing papers authored by Christopher Langdon
This map shows the geographic impact of Christopher Langdon'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 Christopher Langdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Langdon more than expected).
Fields of papers citing papers by Christopher Langdon
This network shows the impact of papers produced by Christopher Langdon. 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 Christopher Langdon. The network helps show where Christopher Langdon may publish in the future.
Co-authors
The 19 scholars most cited alongside Christopher Langdon, 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 | 2023 | 72 | |
| 2 | 2022 | 14 | |
| 3 | 2025 | 10 | |
| 4 | 2018 | 1 | |
| 5 | 2025 | 0 |
About Christopher Langdon
Christopher Langdon is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, Mathematical Physics and Geometry and Topology, having authored 5 papers that have together received 97 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neural Networks and Applications (2 papers), Algebraic structures and combinatorial models (1 paper), Memory and Neural Mechanisms (1 paper), EEG and Brain-Computer Interfaces (1 paper), Neurobiology and Insect Physiology Research (1 paper), Cell Image Analysis Techniques (1 paper) and Advanced Algebra and Geometry (1 paper). The work is most often cited by research in Cognitive Neuroscience (62 citations), Computational Mathematics (1 citation), Cellular and Molecular Neuroscience (21 citations), Health Informatics (1 citation) and Aging (1 citation). Christopher Langdon has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Tatiana A. Engel, Mikhail Genkin, Vincent Breton‐Provencher, Srikanth Ramaswamy, Grace W. Lindsay, James M. Shine, Torben Ott, Megan A. K. Peters, Daniel Birman and Anne E Urai. Their work appears in journals such as Nature reviews. Neuroscience, Nature Neuroscience, Journal of Neuroscience, European Journal of Mathematics and MPG.PuRe (Max Planck Society).
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.