Nahid Dadmehr
- Cognitive Neuroscience top 0.5%
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Hojjat AdeliSamanwoy Ghosh‐DastidarShreya BhatU. Rajendra AcharyaYuki HagiwaraGeorge W. PaulsonAnn PakalnisMiles E. Drake
- Topics
- EEG and Brain-Computer Interfaces (8 papers)Neural dynamics and brain function (5 papers)Fractal and DNA sequence analysis (3 papers)
- Journals
- NeurologyIEEE Transactions on Biomedical EngineeringElectroencephalography and Clinical Neurophysiology
- Partner nations
- United StatesSingaporeMalaysia
In The Last Decade
Nahid Dadmehr
15 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cognitive Neuroscience 2.3k
- Signal Processing 1.3k
- Artificial Intelligence 478
- Cellular and Molecular Neuroscience 430
- Cardiology and Cardiovascular Medicine 426
Countries citing papers authored by Nahid Dadmehr
This map shows the geographic impact of Nahid Dadmehr'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 Nahid Dadmehr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nahid Dadmehr more than expected).
Fields of papers citing papers by Nahid Dadmehr
This network shows the impact of papers produced by Nahid Dadmehr. 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 Nahid Dadmehr. The network helps show where Nahid Dadmehr may publish in the future.
Co-authorship network of co-authors of Nahid Dadmehr
This figure shows the co-authorship network connecting the top 25 collaborators of Nahid Dadmehr. A scholar is included among the top collaborators of Nahid Dadmehr 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 Nahid Dadmehr. Nahid Dadmehr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 143 | |
| 2 | 42 | |
| 3 | 169 | |
| 4 | 395 | |
| 5 | 391 | |
| 6 | A Wavelet-Chaos Methodology for Analysis of EEGs and EEG Subbands to Detect Seizure and Epilepsybreakdown → | 553 |
| 7 | 117 | |
| 8 | 107 | |
| 9 | Analysis of EEG records in an epileptic patient using wavelet transformbreakdown → | 901 |
| 10 | 52 | |
| 11 | Correlation of EEG, evoked potentials, and magnetic resonance imaging in evaluation of multiple sclerosis. | 3 |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 3 |
About Nahid Dadmehr
Nahid Dadmehr is a scholar working on Cognitive Neuroscience, Applied Psychology and Signal Processing, having authored 15 papers that have together received 2.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (5 papers) and Fractal and DNA sequence analysis (3 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Signal Processing (1.3k citations) and Cellular and Molecular Neuroscience (430 citations). Nahid Dadmehr has collaborated with scholars based in United States, Singapore and Malaysia. Frequent co-authors include Hojjat Adeli, Samanwoy Ghosh‐Dastidar, Shreya Bhat, U. Rajendra Acharya, Yuki Hagiwara, George W. Paulson, Ann Pakalnis, Miles E. Drake, M. E. Drake and Kenneth Weiss. Their work appears in journals such as Neurology, IEEE Transactions on Biomedical Engineering and Electroencephalography and Clinical 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.