Ali Akbari

579 total citations · 1 hit paper
22 papers, 426 citations indexed

About

Ali Akbari is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Ali Akbari has authored 22 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Ali Akbari's work include Context-Aware Activity Recognition Systems (15 papers), Non-Invasive Vital Sign Monitoring (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Ali Akbari is often cited by papers focused on Context-Aware Activity Recognition Systems (15 papers), Non-Invasive Vital Sign Monitoring (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Ali Akbari collaborates with scholars based in United States and Iran. Ali Akbari's co-authors include Roozbeh Jafari, Meisam K. Arjmandi, Bassem Ibrahim, Kaan Sel, Dmitry Kireev, Deji Akinwande, Jian Wu, Bobak J. Mortazavi, Behrooz Shirazi and Seyed Iman Mirzadeh and has published in prestigious journals such as Nature Nanotechnology, IEEE Transactions on Biomedical Engineering and IEEE Sensors Journal.

In The Last Decade

Ali Akbari

20 papers receiving 420 citations

Hit Papers

Continuous cuffless monitoring of arterial blood pressure... 2022 2026 2023 2024 2022 50 100 150
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.

  1. Continuous cuffless monitoring of arterial blood pressure via graphene bioimpedance tattoos
    2022 152 citations Dmitry Kireev, Kaan Sel et al. Nature Nanotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Akbari United States 11 198 137 109 71 57 22 426
David Ayllón Spain 8 129 0.7× 34 0.2× 26 0.2× 99 1.4× 76 1.3× 30 326
Jeong-Seon Park South Korea 13 165 0.8× 243 1.8× 59 0.5× 40 0.6× 44 0.8× 40 695
Yvonne Cagle United States 6 209 1.1× 51 0.4× 39 0.4× 28 0.4× 9 0.2× 8 398
João Rodrigues Portugal 10 83 0.4× 152 1.1× 93 0.9× 21 0.3× 34 0.6× 33 385
Farzad Shahabi United States 7 110 0.6× 197 1.4× 79 0.7× 82 1.2× 15 0.3× 18 410
Hannu Sorvoja Finland 12 289 1.5× 81 0.6× 17 0.2× 90 1.3× 12 0.2× 28 439
Phil Corbishley United Kingdom 6 240 1.2× 30 0.2× 19 0.2× 145 2.0× 17 0.3× 9 312
Qingxue Zhang United States 12 332 1.7× 62 0.5× 38 0.3× 40 0.6× 83 1.5× 48 642
Young‐Dong Lee South Korea 9 310 1.6× 130 0.9× 24 0.2× 110 1.5× 10 0.2× 29 515
Nagarajan Ganapathy India 11 152 0.8× 44 0.3× 55 0.5× 29 0.4× 15 0.3× 62 488

Countries citing papers authored by Ali Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Ali Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Akbari

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

All Works

20 of 20 papers shown
1.
Akbari, Ali, et al.. (2023). Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. 5(1). 1–19. 3 indexed citations
2.
3.
Kireev, Dmitry, Kaan Sel, Bassem Ibrahim, et al.. (2022). Continuous cuffless monitoring of arterial blood pressure via graphene bioimpedance tattoos. Nature Nanotechnology. 17(8). 864–870. 152 indexed citations breakdown →
4.
Akbari, Ali, et al.. (2021). A Meta-Learning Approach for Fast Personalization of Modality Translation Models in Wearable Physiological Sensing. IEEE Journal of Biomedical and Health Informatics. 26(4). 1516–1527. 8 indexed citations
5.
6.
Akbari, Ali, et al.. (2021). Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches. ACM Transactions on Embedded Computing Systems. 20(2). 1–20. 10 indexed citations
7.
8.
Akbari, Ali & Roozbeh Jafari. (2020). Transition-Aware Detection of Modes of Locomotion and Transportation Through Hierarchical Segmentation. IEEE Sensors Journal. 21(3). 3301–3313. 6 indexed citations
9.
Akbari, Ali, et al.. (2020). Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments. IEEE Journal of Biomedical and Health Informatics. 24(9). 2639–2650. 10 indexed citations
10.
Akbari, Ali & Roozbeh Jafari. (2020). Personalizing Activity Recognition Models Through Quantifying Different Types of Uncertainty Using Wearable Sensors. IEEE Transactions on Biomedical Engineering. 67(9). 2530–2541. 43 indexed citations
11.
Akbari, Ali, et al.. (2020). Strategic Attention Learning for Modality Translation. 1030–1034. 1 indexed citations
12.
Akbari, Ali, Peiming Liu, Bobak J. Mortazavi, & Roozbeh Jafari. (2019). Tagging wearable accelerometers in camera frames through information translation between vision sensors and accelerometers. 174–184.
13.
Akbari, Ali & Roozbeh Jafari. (2019). Transferring activity recognition models for new wearable sensors with deep generative domain adaptation. 85–96. 47 indexed citations
14.
15.
Akbari, Ali, et al.. (2018). Hierarchical Signal Segmentation and Classification for Accurate Activity Recognition. 1596–1605. 27 indexed citations
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18.
Ibrahim, Bassem, Ali Akbari, & Roozbeh Jafari. (2017). A novel method for pulse transit time estimation using wrist bio-impedance sensing based on a regression model. 1–4. 18 indexed citations
19.
Akbari, Ali & Meisam K. Arjmandi. (2015). Employing linear prediction residual signal of wavelet sub-bands in automatic detection of laryngeal pathology. Biomedical Signal Processing and Control. 18. 293–302. 17 indexed citations
20.
Akbari, Ali & Meisam K. Arjmandi. (2013). An efficient voice pathology classification scheme based on applying multi-layer linear discriminant analysis to wavelet packet-based features. Biomedical Signal Processing and Control. 10. 209–223. 41 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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