Jennifer A. Sweet
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 5%
- Biomedical Engineering top 10%
- Psychiatry and Mental health top 10%
- Co-authors
- Jonathan P. MillerBenjamin L. WalterWilliam D. MembergRobert F. KirschBrian MurphyA. Bolu AjiboyeFrancis R. WillettLeigh R. Hochberg
- Topics
- EEG and Brain-Computer Interfaces (11 papers)Neuroscience and Neural Engineering (10 papers)Neurological disorders and treatments (8 papers)
- Journals
- The LancetBrainScientific Reports
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jennifer A. Sweet
55 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 732
- Cellular and Molecular Neuroscience 692
- Neurology 426
- Biomedical Engineering 292
- Psychiatry and Mental health 180
Countries citing papers authored by Jennifer A. Sweet
This map shows the geographic impact of Jennifer A. Sweet'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 Jennifer A. Sweet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Sweet more than expected).
Fields of papers citing papers by Jennifer A. Sweet
This network shows the impact of papers produced by Jennifer A. Sweet. 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 Jennifer A. Sweet. The network helps show where Jennifer A. Sweet may publish in the future.
Co-authorship network of co-authors of Jennifer A. Sweet
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Sweet. A scholar is included among the top collaborators of Jennifer A. Sweet 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 Jennifer A. Sweet. Jennifer A. Sweet 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 | 0 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 30 | |
| 9 | 44 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 11 | |
| 13 | 13 | |
| 14 | 76 | |
| 15 | 17 | |
| 16 | 44 | |
| 17 | 18 | |
| 18 | 44 | |
| 19 | 7 | |
| 20 | 6 |
About Jennifer A. Sweet
Jennifer A. Sweet is a scholar working on Neurology, Anesthesiology and Pain Medicine and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (10 papers) and Neurological disorders and treatments (8 papers). The work is most often cited by research in Cognitive Neuroscience (732 citations), Cellular and Molecular Neuroscience (692 citations) and Neurology (426 citations). Jennifer A. Sweet has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jonathan P. Miller, Benjamin L. Walter, William D. Memberg, Robert F. Kirsch, Brian Murphy, A. Bolu Ajiboye, Francis R. Willett, Leigh R. Hochberg, John D. Simeral and Charles N. Munyon. Their work appears in journals such as The Lancet, Brain and Scientific Reports.
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.