Elahe Rahimian

546 total citations
20 papers, 305 citations indexed

About

Elahe Rahimian is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Elahe Rahimian has authored 20 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 7 papers in Cognitive Neuroscience and 5 papers in Human-Computer Interaction. Recurrent topics in Elahe Rahimian's work include Muscle activation and electromyography studies (12 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and EEG and Brain-Computer Interfaces (5 papers). Elahe Rahimian is often cited by papers focused on Muscle activation and electromyography studies (12 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and EEG and Brain-Computer Interfaces (5 papers). Elahe Rahimian collaborates with scholars based in Canada, United States and Iran. Elahe Rahimian's co-authors include Arash Mohammadi, Soheil Zabihi, Amir Asif, S. Farokh Atashzar, Farnoosh Naderkhani, Svetlana Yanushkevich, Mahmood Amiri, B. Linares-Barranco, Shahin Heidarian and Konstantinos N. Plataniotis and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Biomedical Signal Processing and Control.

In The Last Decade

Elahe Rahimian

20 papers receiving 297 citations

Peers

Elahe Rahimian

CMN

CVPR

Ericka Janet Rechy-Ramirez Mexico

Panagiotis Tsinganos Greece

Jiangcheng Chen China

Sidharth Pancholi India

Roberto A. Gómez‐Loenzo Mexico

Chunzhi Yi China

Mojisola Grace Asogbon China

Herianto Herianto Indonesia

Muhammad Zia ur Rehman Pakistan

Kazushige Magatani Japan

Ericka Janet Rechy-Ramirez Mexico

Elahe Rahimian

150 ×0.7

143 ×1.1

117 ×1.1

36 ×0.9

CMN

37 ×1.4

CVPR

Citations per year, relative to Elahe Rahimian Elahe Rahimian (= 1×) peers Ericka Janet Rechy-Ramirez

Countries citing papers authored by Elahe Rahimian

Since Specialization

Citations

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

Fields of papers citing papers by Elahe Rahimian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elahe Rahimian

This figure shows the co-authorship network connecting the top 25 collaborators of Elahe Rahimian. A scholar is included among the top collaborators of Elahe Rahimian 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 Elahe Rahimian. Elahe Rahimian 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

Mohammadi, Arash, Ming Hou, Elahe Rahimian, et al.. (2024). Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networks. Ad Hoc Networks. 157. 103436–103436. 4 indexed citations

Rahimian, Elahe, et al.. (2023). Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals. Scientific Reports. 13(1). 11000–11000. 36 indexed citations

Rahimian, Elahe, et al.. (2023). HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information. 1–5. 4 indexed citations

Zabihi, Soheil, Elahe Rahimian, Amir Asif, & Arash Mohammadi. (2023). Light-Weight CNN-Attention Based Architecture for Hand Gesture Recognition Via Electromyography. 1–5. 7 indexed citations

Rahimian, Elahe, et al.. (2023). DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. Bristol Research (University of Bristol). 5 indexed citations

Zabihi, Soheil, Elahe Rahimian, Amir Asif, & Arash Mohammadi. (2023). TraHGR: Transformer for Hand Gesture Recognition via Electromyography. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4211–4224. 42 indexed citations

Rahimian, Elahe, Soheil Zabihi, Amir Asif, et al.. (2022). Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1196–1200. 15 indexed citations

Zabihi, Soheil, Elahe Rahimian, Fatemeh Marefat, et al.. (2022). Bp-Net: Cuff-Less, Calibration-Free, and Non-Invasive Blood Pressure Estimation Via a Generic Deep Convolutional Architecture. SSRN Electronic Journal. 1 indexed citations

Zabihi, Soheil, Elahe Rahimian, Fatemeh Marefat, et al.. (2022). BP-Net : Cuff-less and non-invasive blood pressure estimation via a generic deep convolutional architecture. Biomedical Signal Processing and Control. 78. 103850–103850. 12 indexed citations

10.

Zabihi, Soheil, et al.. (2022). ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 5115–5119. 29 indexed citations

11.

Mohammadi, Arash, et al.. (2022). TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks. ICC 2022 - IEEE International Conference on Communications. 613–618. 15 indexed citations

12.

Zabihi, Soheil, Elahe Rahimian, Amir Asif, & Arash Mohammadi. (2021). SepUnet: Depthwise Separable Convolution Integrated U-Net For MRI Reconstruction. 3792–3796. 6 indexed citations

13.

Rahimian, Elahe, Soheil Zabihi, Amir Asif, S. Farokh Atashzar, & Arash Mohammadi. (2021). Trustworthy Adaptation with Few-Shot Learning for Hand Gesture Recognition. 5 indexed citations

14.

Rahimian, Elahe, Soheil Zabihi, Amir Asif, S. Farokh Atashzar, & Arash Mohammadi. (2021). Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition. 1300–1304. 18 indexed citations

15.

Rahimian, Elahe, Soheil Zabihi, S. Farokh Atashzar, Amir Asif, & Arash Mohammadi. (2020). Surface EMG-Based Hand Gesture Recognition via Hybrid and Dilated Deep Neural Network Architectures for Neurorobotic Prostheses. 5(01n02). 2041001–2041001. 21 indexed citations

16.

Rahimian, Elahe, Soheil Zabihi, Amir Asif, & Arash Mohammadi. (2020). Hybrid Deep Neural Networks for Sparse Surface EMG-Based Hand Gesture Recognition. 371–374. 4 indexed citations

17.

Rahimian, Elahe, Soheil Zabihi, S. Farokh Atashzar, Amir Asif, & Arash Mohammadi. (2020). XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification. 1304–1308. 39 indexed citations

18.

Rahimian, Elahe, Soheil Zabihi, S. Farokh Atashzar, Amir Asif, & Arash Mohammadi. (2019). Semg-Based Hand Gesture Recognition Via Dilated Convolutional Neural Networks. 1–5. 22 indexed citations

19.

Rahimian, Elahe, Soheil Zabihi, Mahmood Amiri, & B. Linares-Barranco. (2017). Digital Implementation of the Two-Compartmental Pinsky–Rinzel Pyramidal Neuron Model. IEEE Transactions on Biomedical Circuits and Systems. 12(1). 47–57. 18 indexed citations

20.

Lith, Theresa Van, et al.. (2016). A landscape of art-based therapeutic practices in Iran. Journal of Applied Arts and Health. 7(1). 7–23. 2 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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