Miad Faezipour
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 2%
- Computer Networks and Communications top 2%
- Biomedical Engineering top 5%
- Signal Processing top 2%
- Co-authors
- Abdelshakour AbuzneidKhaled ElleithyKhald A. I. AboalayonMehrdad NouraniAli AlessaOmar AbuzaghlehAmer Al‐RahayfehBuket D. Barkana
- Topics
- EEG and Brain-Computer Interfaces (28 papers)Network Security and Intrusion Detection (18 papers)ECG Monitoring and Analysis (15 papers)
- Partner nations
- United StatesChinaIran
In The Last Decade
Miad Faezipour
133 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 775
- Cognitive Neuroscience 763
- Computer Networks and Communications 639
- Biomedical Engineering 624
- Signal Processing 438
Countries citing papers authored by Miad Faezipour
This map shows the geographic impact of Miad Faezipour'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 Miad Faezipour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miad Faezipour more than expected).
Fields of papers citing papers by Miad Faezipour
This network shows the impact of papers produced by Miad Faezipour. 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 Miad Faezipour. The network helps show where Miad Faezipour may publish in the future.
Co-authorship network of co-authors of Miad Faezipour
This figure shows the co-authorship network connecting the top 25 collaborators of Miad Faezipour. A scholar is included among the top collaborators of Miad Faezipour 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 Miad Faezipour. Miad Faezipour 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 | 1 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 15 | |
| 12 | 73 | |
| 13 | Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detectionbreakdown → | 230 |
| 14 | 10 | |
| 15 | Machine Learning Approaches for Flow-Based Intrusion Detection Systems | 2 |
| 16 | 26 | |
| 17 | A Portable Real-Time Noninvasice Skin Lesion Analysis System to Assist in Melanoma Early Detection and Prevention | 2 |
| 18 | Breathing Movement Classification using MFCCs | 1 |
| 19 | A New Model for Diagnosing Sleep Apnea through Features Extraction of the SpO2 Signal | 1 |
| 20 | 71 |
About Miad Faezipour
Miad Faezipour is a scholar working on Occupational Therapy, Issues, ethics and legal aspects and Cognitive Neuroscience, having authored 145 papers that have together received 3.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Network Security and Intrusion Detection (18 papers) and ECG Monitoring and Analysis (15 papers). The work is most often cited by research in Human-Computer Interaction (228 citations), Signal Processing (438 citations) and Cognitive Neuroscience (763 citations). Miad Faezipour has collaborated with scholars based in United States, China and Iran. Frequent co-authors include Abdelshakour Abuzneid, Khaled Elleithy, Khald A. I. Aboalayon, Mehrdad Nourani, Ali Alessa, Omar Abuzaghleh, Amer Al‐Rahayfeh, Buket D. Barkana, Razan Abdulhammed and Laiali Almazaydeh. Their work appears in journals such as PLoS ONE, Communications of the ACM and IEEE Access.
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.