Christine H Blabe
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Krishna V. ShenoyJaimie M. HendersonLeigh R. HochbergChethan PandarinathBrittany L SoricePaul NuyujukianVikash GiljaJad Saab
- Topics
- EEG and Brain-Computer Interfaces (16 papers)Neuroscience and Neural Engineering (15 papers)Muscle activation and electromyography studies (8 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Christine H Blabe
16 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 1.2k
- Cellular and Molecular Neuroscience 927
- Electrical and Electronic Engineering 344
- Biomedical Engineering 303
- Human-Computer Interaction 120
Countries citing papers authored by Christine H Blabe
This map shows the geographic impact of Christine H Blabe'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 Christine H Blabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine H Blabe more than expected).
Fields of papers citing papers by Christine H Blabe
This network shows the impact of papers produced by Christine H Blabe. 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 Christine H Blabe. The network helps show where Christine H Blabe may publish in the future.
Co-authorship network of co-authors of Christine H Blabe
This figure shows the co-authorship network connecting the top 25 collaborators of Christine H Blabe. A scholar is included among the top collaborators of Christine H Blabe 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 Christine H Blabe. Christine H Blabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 11 | |
| 3 | 98 | |
| 4 | 6 | |
| 5 | 85 | |
| 6 | 19 | |
| 7 | 11 | |
| 8 | High performance communication by people with paralysis using an intracortical brain-computer interfacebreakdown → | 338 |
| 9 | 16 | |
| 10 | 36 | |
| 11 | 83 | |
| 12 | 46 | |
| 13 | 222 | |
| 14 | 236 | |
| 15 | 101 | |
| 16 | 1 |
About Christine H Blabe
Christine H Blabe is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Neuroscience and Neural Engineering (15 papers) and Muscle activation and electromyography studies (8 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (927 citations) and Human-Computer Interaction (120 citations). Christine H Blabe has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Krishna V. Shenoy, Jaimie M. Henderson, Leigh R. Hochberg, Chethan Pandarinath, Brittany L Sorice, Paul Nuyujukian, Vikash Gilja, Jad Saab, John D. Simeral and Beata Jarosiewicz. Their work appears in journals such as Nature Medicine, PLoS ONE and Journal of Neurophysiology.
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.