Farid Yaghouby
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Endocrine and Autonomic Systems
- Biomedical Engineering
- Experimental and Cognitive Psychology
- Co-authors
- Sridhar SunderamAhmad AyatollahiKevin D. DonohueBruce F. O’HaraAmir H. AlaviPradeep N. ModurChristopher G. ScullyChathuri Daluwatte
- Topics
- EEG and Brain-Computer Interfaces (10 papers)Sleep and Wakefulness Research (9 papers)Heart Rate Variability and Autonomic Control (7 papers)
- Cited by
- Cognitive NeuroscienceEndocrine and Autonomic SystemsCardiology and Cardiovascular Medicine
- Partner nations
- United StatesIran
In The Last Decade
Farid Yaghouby
23 papers receiving 299 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 159
- Cardiology and Cardiovascular Medicine 86
- Endocrine and Autonomic Systems 49
- Biomedical Engineering 34
- Experimental and Cognitive Psychology 32
Countries citing papers authored by Farid Yaghouby
This map shows the geographic impact of Farid Yaghouby'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 Farid Yaghouby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farid Yaghouby more than expected).
Fields of papers citing papers by Farid Yaghouby
This network shows the impact of papers produced by Farid Yaghouby. 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 Farid Yaghouby. The network helps show where Farid Yaghouby may publish in the future.
Co-authorship network of co-authors of Farid Yaghouby
This figure shows the co-authorship network connecting the top 25 collaborators of Farid Yaghouby. A scholar is included among the top collaborators of Farid Yaghouby 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 Farid Yaghouby. Farid Yaghouby 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 | 15 | |
| 3 | 1 | |
| 4 | 32 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 21 | |
| 16 | 54 | |
| 17 | 17 | |
| 18 | 14 | |
| 19 | 41 | |
| 20 | Classification of Cardiac Abnormalities Using Reduced Features of Heart Rate Variability Signal | 38 |
About Farid Yaghouby
Farid Yaghouby is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 309 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Sleep and Wakefulness Research (9 papers) and Heart Rate Variability and Autonomic Control (7 papers). The work is most often cited by research in Cognitive Neuroscience (159 citations), Endocrine and Autonomic Systems (49 citations) and Cardiology and Cardiovascular Medicine (86 citations). Farid Yaghouby has collaborated with scholars based in United States and Iran. Frequent co-authors include Sridhar Sunderam, Ahmad Ayatollahi, Kevin D. Donohue, Bruce F. O’Hara, Bruce F. O’Hara, Amir H. Alavi, Pradeep N. Modur, Christopher G. Scully, Chathuri Daluwatte and Srikanth Vasudevan. Their work appears in journals such as Journal of Applied Physiology, Frontiers in Physiology and Frontiers in Neuroscience.
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.