Ali Etemad

2.5k total citations · 1 hit paper
86 papers, 1.3k citations indexed

About

Ali Etemad is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Ali Etemad has authored 86 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 26 papers in Cognitive Neuroscience and 22 papers in Artificial Intelligence. Recurrent topics in Ali Etemad's work include EEG and Brain-Computer Interfaces (24 papers), Emotion and Mood Recognition (13 papers) and Human Pose and Action Recognition (13 papers). Ali Etemad is often cited by papers focused on EEG and Brain-Computer Interfaces (24 papers), Emotion and Mood Recognition (13 papers) and Human Pose and Action Recognition (13 papers). Ali Etemad collaborates with scholars based in Canada, United States and Portugal. Ali Etemad's co-authors include Pritam Sarkar, Guangyi Zhang, Vandad Davoodnia, Alireza Sepas‐Moghaddam, Evelyn Morin, Michael Greenspan, Yaoxue Zhang, Mohsen Zand, Fernando Pereira and Paulo Lobato Correia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Ali Etemad

78 papers receiving 1.3k citations

Hit Papers

Self-Supervised ECG Representation Learning for Emotion R... 2020 2026 2022 2024 2020 50 100 150 200
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. Self-Supervised ECG Representation Learning for Emotion Recognition
    2020 226 citations Pritam Sarkar, Ali Etemad 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 Etemad Canada 17 523 379 354 266 228 86 1.3k
Mohiuddin Ahmad Bangladesh 21 760 1.5× 288 0.8× 513 1.4× 479 1.8× 351 1.5× 169 1.9k
Hussein Al Osman Canada 19 327 0.6× 152 0.4× 183 0.5× 269 1.0× 267 1.2× 66 1.2k
Sazali Yaacob Malaysia 20 469 0.9× 243 0.6× 248 0.7× 174 0.7× 147 0.6× 87 1.2k
Yasue Mitsukura Japan 18 1.0k 1.9× 286 0.8× 318 0.9× 273 1.0× 165 0.7× 251 1.9k
Yu‐Liang Hsu Taiwan 18 374 0.7× 196 0.5× 392 1.1× 384 1.4× 101 0.4× 60 1.6k
Smith K. Khare India 26 1.2k 2.2× 434 1.1× 155 0.4× 182 0.7× 461 2.0× 43 1.8k
Adriano de Oliveira Andrade Brazil 23 656 1.3× 184 0.5× 145 0.4× 684 2.6× 263 1.2× 147 2.2k
Rongrong Fu China 17 474 0.9× 395 1.0× 79 0.2× 192 0.7× 197 0.9× 67 1.1k
Rifai Chai Australia 20 835 1.6× 532 1.4× 94 0.3× 247 0.9× 338 1.5× 83 1.6k
Jonghwa Kim Germany 13 891 1.7× 998 2.6× 256 0.7× 238 0.9× 264 1.2× 22 1.6k

Countries citing papers authored by Ali Etemad

Since Specialization
Citations

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

Fields of papers citing papers by Ali Etemad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Etemad

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Etemad. A scholar is included among the top collaborators of Ali Etemad 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 Etemad. Ali Etemad 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.
Braund, Heather, et al.. (2025). CLARE: Cognitive Load Assessment in Real-Time With Multimodal Data. IEEE Transactions on Cognitive and Developmental Systems. 17(6). 1337–1349.
2.
Saeed, Aaqib, et al.. (2025). Learning under label noise through few-shot human-in-the-loop refinement. Scientific Reports. 15(1). 4276–4276. 2 indexed citations
3.
Roy, Shuvendu & Ali Etemad. (2024). Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14847–14856. 3 indexed citations
4.
Etemad, Ali, et al.. (2024). AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition. 5(3). 1–24. 5 indexed citations
5.
Sarkar, Pritam & Ali Etemad. (2024). XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14875–14885. 6 indexed citations
6.
Roy, Shuvendu & Ali Etemad. (2024). Impact of Strategic Sampling and Supervision Policies on Semi-Supervised Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(4). 2806–2817.
7.
Sarkar, Pritam, et al.. (2024). Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 15009–15019. 10 indexed citations
8.
Greenspan, Michael, et al.. (2023). Context-Aware Pedestrian Trajectory Prediction with Multimodal Transformer. 2535–2539. 4 indexed citations
9.
Etemad, Ali, et al.. (2023). Distilling EEG representations via capsules for affective computing. Pattern Recognition Letters. 171. 99–105. 11 indexed citations
10.
Etemad, Ali, et al.. (2023). A Study on Bias and Fairness in Deep Speaker Recognition. 1–5. 2 indexed citations
11.
Sarkar, Pritam, et al.. (2023). AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 76–85. 9 indexed citations
12.
Etemad, Ali, et al.. (2023). Remote Heart Rate Monitoring in Smart Environments From Videos With Self-Supervised Pretraining. IEEE Internet of Things Journal. 11(6). 10279–10294. 2 indexed citations
13.
Roy, Shuvendu & Ali Etemad. (2023). Temporal Contrastive Learning with Curriculum. 1–5. 1 indexed citations
14.
Sepas‐Moghaddam, Alireza, et al.. (2022). FaceTopoNet: Facial Expression Recognition Using Face Topology Learning. IEEE Transactions on Artificial Intelligence. 4(6). 1526–1539. 11 indexed citations
15.
Sepas‐Moghaddam, Alireza, et al.. (2022). Multiview Video-Based 3-D Hand Pose Estimation. IEEE Transactions on Artificial Intelligence. 4(4). 896–909. 20 indexed citations
16.
Sarkar, Pritam, Silvia M. Lobmaier, Bibiana Fabre, et al.. (2021). Detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning. Scientific Reports. 11(1). 24146–24146. 23 indexed citations
17.
Etemad, Ali, et al.. (2021). Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. arXiv (Cornell University). 11 indexed citations
18.
Sarkar, Pritam & Ali Etemad. (2020). Self-Supervised Learning for ECG-Based Emotion Recognition. arXiv (Cornell University). 3217–3221. 75 indexed citations
19.
Zhang, Guangyi, Vandad Davoodnia, Alireza Sepas‐Moghaddam, Yaoxue Zhang, & Ali Etemad. (2019). Classification of Hand Movements From EEG Using a Deep Attention-Based LSTM Network. IEEE Sensors Journal. 20(6). 3113–3122. 127 indexed citations
20.
Morin, Evelyn, et al.. (2019). EMG-based Force Estimation using Artificial Neural Networks. 42. 5 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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