Beth Jelfs
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
-
- EEG and Brain-Computer Interfaces 13
- Neural dynamics and brain function 7
- Functional Brain Connectivity Studies 6
-
- Blind Source Separation Techniques 13
- Co-authors
- Rosa H. M. Chan (13 shared papers)Chung Tin (4 shared papers)Xiaolong Zhai (2 shared papers)Danilo P. Mandic (14 shared papers)Dinesh Kumar (7 shared papers)Sridhar P. Arjunan (7 shared papers)Yili Xia (3 shared papers)José C. Prı́ncipe (1 shared paper)
- Journals
- Frontiers in Neuroscience (2 papers)Biosensors (2 papers)Neurobiology of Learning and Memory (1 paper)IEEE Access (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- United KingdomAustraliaHong Kong
In The Last Decade
Beth Jelfs
45 papers receiving 925 citations
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 335
- Human-Computer Interaction 106
- Signal Processing 137
- Cellular and Molecular Neuroscience 176
- Biomedical Engineering 394
Countries citing papers authored by Beth Jelfs
This map shows the geographic impact of Beth Jelfs'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 Beth Jelfs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Jelfs more than expected).
Fields of papers citing papers by Beth Jelfs
This network shows the impact of papers produced by Beth Jelfs. 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 Beth Jelfs. The network helps show where Beth Jelfs may publish in the future.
Co-authors
The 25 scholars most cited alongside Beth Jelfs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 290 | |
| 2 | 2010 | 95 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 55 | |
| 5 | 2015 | 38 | |
| 6 | 2007 | 37 | |
| 7 | 2016 | 30 | |
| 8 | 2016 | 29 | |
| 9 | 2015 | 27 | |
| 10 | 2011 | 27 | |
| 11 | 2016 | 24 | |
| 12 | 2015 | 21 | |
| 13 | 2017 | 18 | |
| 14 | 2017 | 16 | |
| 15 | 2011 | 15 | |
| 16 | 2009 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2007 | 13 | |
| 20 | 2016 | 11 |
About Beth Jelfs
Beth Jelfs is a scholar working on Cognitive Neuroscience, Signal Processing, Biomedical Engineering, Computational Mechanics and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 957 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (13 papers), EEG and Brain-Computer Interfaces (13 papers), Muscle activation and electromyography studies (12 papers), Advanced Adaptive Filtering Techniques (9 papers), Neuroscience and Neural Engineering (7 papers), Neural dynamics and brain function (7 papers), Neural Networks and Applications (6 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Cognitive Neuroscience (335 citations), Human-Computer Interaction (106 citations), Signal Processing (137 citations), Cellular and Molecular Neuroscience (176 citations) and Biomedical Engineering (394 citations). Beth Jelfs has collaborated with scholars based in United Kingdom, Australia and Hong Kong. Frequent co-authors include Rosa H. M. Chan, Chung Tin, Xiaolong Zhai, Danilo P. Mandic, Dinesh Kumar, Sridhar P. Arjunan, Yili Xia, José C. Prı́ncipe, Marc M. Van Hulle and Ying Li. Their work appears in journals such as Frontiers in Neuroscience, Biosensors, Neurobiology of Learning and Memory, IEEE Access and Computers in Biology and Medicine.
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.