Christopher K. Hauser
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Human-Computer Interaction top 2%
- Electrical and Electronic Engineering
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Eric W. SellersGeorge TownsendBrandon K. LaPalloTheresa M. VaughanChadwick BoulayJonathan R. WolpawDean J. KrusienskiDavid B. Ryan
- Topics
- Neural dynamics and brain function (4 papers)EEG and Brain-Computer Interfaces (4 papers)Neuroscience and Neural Engineering (3 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Christopher K. Hauser
9 papers receiving 677 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 583
- Cellular and Molecular Neuroscience 383
- Human-Computer Interaction 164
- Electrical and Electronic Engineering 130
- Ecology, Evolution, Behavior and Systematics 53
Countries citing papers authored by Christopher K. Hauser
This map shows the geographic impact of Christopher K. Hauser'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 K. Hauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher K. Hauser more than expected).
Fields of papers citing papers by Christopher K. Hauser
This network shows the impact of papers produced by Christopher K. Hauser. 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 K. Hauser. The network helps show where Christopher K. Hauser may publish in the future.
Co-authorship network of co-authors of Christopher K. Hauser
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher K. Hauser. A scholar is included among the top collaborators of Christopher K. Hauser 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 Christopher K. Hauser. Christopher K. Hauser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 20 | |
| 3 | 94 | |
| 4 | 30 | |
| 5 | 44 | |
| 6 | 23 | |
| 7 | 29 | |
| 8 | 413 | |
| 9 | 18 |
About Christopher K. Hauser
Christopher K. Hauser is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 9 papers that have together received 692 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cognitive Neuroscience (583 citations), Human-Computer Interaction (164 citations) and Cellular and Molecular Neuroscience (383 citations). Christopher K. Hauser has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Eric W. Sellers, George Townsend, Brandon K. LaPallo, Theresa M. Vaughan, Chadwick Boulay, Jonathan R. Wolpaw, Dean J. Krusienski, David B. Ryan, Terrence R. Stanford and Emilio Salinas. Their work appears in journals such as Science Translational Medicine, Animal Behaviour and eLife.
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.