Hamed Azami

3.6k total citations · 1 hit paper
61 papers, 2.5k citations indexed

About

Hamed Azami is a scholar working on Cognitive Neuroscience, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Hamed Azami has authored 61 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 12 papers in Economics and Econometrics and 11 papers in Molecular Biology. Recurrent topics in Hamed Azami's work include EEG and Brain-Computer Interfaces (22 papers), Neural dynamics and brain function (20 papers) and Complex Systems and Time Series Analysis (11 papers). Hamed Azami is often cited by papers focused on EEG and Brain-Computer Interfaces (22 papers), Neural dynamics and brain function (20 papers) and Complex Systems and Time Series Analysis (11 papers). Hamed Azami collaborates with scholars based in United Kingdom, Iran and Canada. Hamed Azami's co-authors include Javier Escudero, Mostafa Rostaghi, Daniel Abásolo, M. R. Ashory, Saeid Sanei, Karim Mohammadi, Behzad Bozorgtabar, Anne Humeau‐Heurtier, Mohammad Mahdi Khatibi and Steven E. Arnold and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and IEEE Access.

In The Last Decade

Hamed Azami

58 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dispersion Entropy: A Measure for Time-Series Analysis

2016 614 citations Mostafa Rostaghi, Hamed Azami profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hamed Azami United Kingdom	22	882	707	395	395	375	61	2.5k
Weiting Chen China	13	284 0.3×	561 0.8×	382 1.0×	143 0.4×	165 0.4×	40	1.9k
Hong-Bo Xie China	19	302 0.3×	801 1.1×	373 0.9×	150 0.4×	177 0.5×	47	2.1k
Wangxin Yu China	4	277 0.3×	455 0.6×	355 0.9×	139 0.4×	142 0.4×	7	1.4k
Mostafa Rostaghi Iran	9	537 0.6×	218 0.3×	151 0.4×	284 0.7×	160 0.4×	12	1.1k
Anne Humeau‐Heurtier France	27	197 0.2×	314 0.4×	543 1.4×	99 0.3×	142 0.4×	138	2.9k
Hasan Ocak Türkiye	16	767 0.9×	709 1.0×	179 0.5×	681 1.7×	481 1.3×	37	2.1k
Joseph P. Cusumano United States	29	372 0.4×	728 1.0×	112 0.3×	153 0.4×	94 0.3×	83	3.2k
Abdel‐Ouahab Boudraa France	25	726 0.8×	137 0.2×	165 0.4×	243 0.6×	432 1.2×	99	2.4k
Men‐Tzung Lo Taiwan	30	262 0.3×	779 1.1×	967 2.4×	109 0.3×	172 0.5×	139	2.8k
Selin Aviyente United States	24	900 1.0×	640 0.9×	70 0.2×	422 1.1×	246 0.7×	166	2.5k

Countries citing papers authored by Hamed Azami

Since Specialization

Citations

This map shows the geographic impact of Hamed Azami'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 Hamed Azami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamed Azami more than expected).

Fields of papers citing papers by Hamed Azami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamed Azami. 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 Hamed Azami. The network helps show where Hamed Azami may publish in the future.

Co-authorship network of co-authors of Hamed Azami

This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Azami. A scholar is included among the top collaborators of Hamed Azami 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 Hamed Azami. Hamed Azami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Azami, Hamed, Tarek K. Rajji, Chien‐Te Wu, et al.. (2025). Electroencephalogram and Event-Related Potential in Mild Cognitive Impairment: Recent Developments in Signal Processing, Machine Learning, and Deep Learning. 2. 162–184. 4 indexed citations

Sumich, Alexander, et al.. (2025). EEG low conventional bands non‐linear machine learning‐based analysis for Classifying MCI and sleep quality as a function of brain complexity. Alzheimer s & Dementia. 21(S7). e108401–e108401.

Zomorrodi, Reza, Hamed Azami, Andreea O. Diaconescu, et al.. (2025). 8. Investigating EEG Microstate Metrics in Mild Cognitive Impairment and Remitted Major Depressive Disorder: A PACt-MD Analysis. Biological Psychiatry. 97(9). S98–S99.

Azami, Hamed, et al.. (2025). Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images. Entropy. 27(1). 80–80. 1 indexed citations

Μιλτιάδους, Ανδρέας, et al.. (2024). Beta-to-Theta Entropy Ratio of EEG in Aging, Frontotemporal Dementia, and Alzheimer's Dementia. American Journal of Geriatric Psychiatry. 32(11). 1361–1382. 10 indexed citations

Rostaghi, Mostafa, Mohammad Mahdi Khatibi, M. R. Ashory, & Hamed Azami. (2023). Refined Composite Multiscale Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis. Entropy. 25(11). 1494–1494. 21 indexed citations

Azami, Hamed, Christoph Zrenner, Heather Brooks, et al.. (2023). Beta to Theta Power Ratio in Electroencephalogram Periodic Components to Discriminate Mild Cognitive Impairment and Alzheimer’s Dementia. Alzheimer s & Dementia. 19(S17).

Azami, Hamed, Christoph Zrenner, Heather Brooks, et al.. (2023). Beta to theta power ratio in EEG periodic components as a potential biomarker in mild cognitive impairment and Alzheimer’s dementia. Alzheimer s Research & Therapy. 15(1). 133–133. 32 indexed citations

Azami, Hamed, et al.. (2023). Bidimensional ensemble entropy: Concepts and application to emphysema lung computerized tomography scans. Computer Methods and Programs in Biomedicine. 242. 107855–107855. 2 indexed citations

10.

Azami, Hamed, et al.. (2022). Brain functional connectivity changes in long-term mental stress. 1(1). 16–41. 2 indexed citations

11.

Azami, Hamed, Saeid Sanei, & Tarek K. Rajji. (2022). Ensemble entropy: A low bias approach for data analysis. Knowledge-Based Systems. 256. 109876–109876. 17 indexed citations

12.

Williams, Victoria J., Alison J. McManus, Anoopum S. Gupta, et al.. (2020). A pilot protocol to assess the feasibility of a virtual multiple crossover, randomized controlled trial design using methylphenidate in mild cognitive impairment. Trials. 21(1). 1016–1016. 1 indexed citations

13.

Azami, Hamed, Daniel Abásolo, Samantha Simons, & Javier Escudero. (2017). Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer’s Disease. Entropy. 19(1). 31–31. 52 indexed citations

14.

Azami, Hamed, et al.. (2017). Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis. Medical & Biological Engineering & Computing. 55(11). 2037–2052. 127 indexed citations

15.

Azami, Hamed, Mostafa Rostaghi, & Javier Escudero. (2016). Refined Composite Multiscale Dispersion Entropy: A Fast Measure of Complexity.. arXiv (Cornell University). 3 indexed citations

16.

Azami, Hamed & Javier Escudero. (2016). Amplitude-aware permutation entropy: Illustration in spike detection and signal segmentation. Computer Methods and Programs in Biomedicine. 128. 40–51. 140 indexed citations

17.

Azami, Hamed & Javier Escudero. (2015). Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings. Biomedical Signal Processing and Control. 23. 28–41. 142 indexed citations

18.

Azami, Hamed, Hamid Hassanpour, Javier Escudero, & Saeid Sanei. (2014). An intelligent approach for variable size segmentation of non-stationary signals. Journal of Advanced Research. 6(5). 687–698. 27 indexed citations

19.

Azami, Hamed, et al.. (2014). A time-frequency approach for EEG signal segmentation. SHILAP Revista de lepidopterología. 2(1). 63–71. 13 indexed citations

20.

Bozorgtabar, Behzad, et al.. (2012). Illumination Invariant Face Recognition Using Fuzzy LDA and FFNN. Journal of Signal and Information Processing. 3(1). 45–50. 4 indexed citations

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.

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