Patrick T. Sadtler
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Aaron P. BatistaSteven M. ChaseElizabeth C. Tyler‐KabaraByron M. YuKristin M. QuickMatthew D. GolubStephen I. RyuEmily R. Oby
- Topics
- EEG and Brain-Computer Interfaces (12 papers)Neural dynamics and brain function (9 papers)Neuroscience and Neural Engineering (8 papers)
- Partner nations
- United States
In The Last Decade
Patrick T. Sadtler
13 papers receiving 801 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 762
- Cellular and Molecular Neuroscience 395
- Biomedical Engineering 118
- Electrical and Electronic Engineering 111
- Artificial Intelligence 67
Countries citing papers authored by Patrick T. Sadtler
This map shows the geographic impact of Patrick T. Sadtler'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 Patrick T. Sadtler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick T. Sadtler more than expected).
Fields of papers citing papers by Patrick T. Sadtler
This network shows the impact of papers produced by Patrick T. Sadtler. 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 Patrick T. Sadtler. The network helps show where Patrick T. Sadtler may publish in the future.
Co-authorship network of co-authors of Patrick T. Sadtler
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick T. Sadtler. A scholar is included among the top collaborators of Patrick T. Sadtler 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 Patrick T. Sadtler. Patrick T. Sadtler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 37 | |
| 3 | 134 | |
| 4 | 41 | |
| 5 | 30 | |
| 6 | 13 | |
| 7 | 41 | |
| 8 | 23 | |
| 9 | Neural constraints on learningbreakdown → | 399 |
| 10 | 77 | |
| 11 | Investigating the neural basis of learning using brain-computer interfaces | 1 |
| 12 | 9 | |
| 13 | 4 |
About Patrick T. Sadtler
Patrick T. Sadtler is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 13 papers that have together received 813 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (9 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Cognitive Neuroscience (762 citations), Cellular and Molecular Neuroscience (395 citations) and Neurology (23 citations). Patrick T. Sadtler has collaborated with scholars based in United States. Frequent co-authors include Aaron P. Batista, Steven M. Chase, Elizabeth C. Tyler‐Kabara, Byron M. Yu, Kristin M. Quick, Matthew D. Golub, Stephen I. Ryu, Emily R. Oby, Valérie Ventura and Stephen I. Ryu. Their work appears in journals such as Nature, Nature Neuroscience and Current Biology.
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.