Adam Page
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
-
- EEG and Brain-Computer Interfaces 7
-
- CCD and CMOS Imaging Sensors 4
- Advanced Memory and Neural Computing 4
- Co-authors
- Tinoosh Mohsenin (13 shared papers)Amey Kulkarni (1 shared paper)Emily A. Smith (2 shared papers)Tim Oates (2 shared papers)Ali Jafari (4 shared papers)Houman Homayoun (2 shared papers)Maysam Ghovanloo (1 shared paper)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)ACM Journal on Emerging Technologies in Computing Systems (1 paper)The Florida AI Research Society (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Adam Page
13 papers receiving 343 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 190
- Signal Processing 71
- Hardware and Architecture 32
- Computer Vision and Pattern Recognition 79
- Computational Mathematics 2
Countries citing papers authored by Adam Page
This map shows the geographic impact of Adam Page'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 Adam Page with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Page more than expected).
Fields of papers citing papers by Adam Page
This network shows the impact of papers produced by Adam Page. 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 Adam Page. The network helps show where Adam Page may publish in the future.
Co-authors
The 7 scholars most cited alongside Adam Page, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 83 | |
| 2 | 2015 | 64 | |
| 3 | 2016 | 50 | |
| 4 | 2017 | 36 | |
| 5 | 2015 | 24 | |
| 6 | 2017 | 22 | |
| 7 | Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods | 2014 | 17 |
| 8 | 2015 | 13 | |
| 9 | 2016 | 13 | |
| 10 | 2018 | 10 | |
| 11 | 2016 | 8 | |
| 12 | 2013 | 8 | |
| 13 | 2015 | 3 | |
| 14 | 2018 | 0 |
About Adam Page
Adam Page is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Signal Processing, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 351 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Blind Source Separation Techniques (4 papers), CCD and CMOS Imaging Sensors (4 papers), Advanced Memory and Neural Computing (4 papers), ECG Monitoring and Analysis (3 papers), Advanced Neural Network Applications (3 papers), Wireless Body Area Networks (2 papers) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Cognitive Neuroscience (190 citations), Signal Processing (71 citations), Hardware and Architecture (32 citations), Computer Vision and Pattern Recognition (79 citations) and Computational Mathematics (2 citations). Adam Page has collaborated with scholars based in United States. Frequent co-authors include Tinoosh Mohsenin, Amey Kulkarni, Emily A. Smith, Tim Oates, Ali Jafari, Houman Homayoun and Maysam Ghovanloo. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs, ACM Journal on Emerging Technologies in Computing Systems, The Florida AI Research Society and PubMed.
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.