Vahid Abolghasemi

2.2k total citations
103 papers, 1.6k citations indexed

About

Vahid Abolghasemi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Vahid Abolghasemi has authored 103 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 29 papers in Signal Processing and 20 papers in Cognitive Neuroscience. Recurrent topics in Vahid Abolghasemi's work include Blind Source Separation Techniques (28 papers), EEG and Brain-Computer Interfaces (16 papers) and Sparse and Compressive Sensing Techniques (15 papers). Vahid Abolghasemi is often cited by papers focused on Blind Source Separation Techniques (28 papers), EEG and Brain-Computer Interfaces (16 papers) and Sparse and Compressive Sensing Techniques (15 papers). Vahid Abolghasemi collaborates with scholars based in United Kingdom, Iran and Pakistan. Vahid Abolghasemi's co-authors include Saideh Ferdowsi, Saeid Sanei, Alireza Ahmadyfard, Mansoor Fateh, Mohammad Hossein Anisi, Saeid Sanei, Ali A. Pouyan, Yangkang Chen, Mohsen Rezvani and Hamid Hassanpour and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Vahid Abolghasemi

98 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vahid Abolghasemi United Kingdom 20 488 321 315 281 279 103 1.6k
Abd‐Krim Seghouane Australia 22 332 0.7× 574 1.8× 438 1.4× 451 1.6× 123 0.4× 130 1.5k
Celia Shahnaz Bangladesh 20 440 0.9× 431 1.3× 108 0.3× 367 1.3× 388 1.4× 153 1.8k
Noboru Sugie Japan 21 738 1.5× 308 1.0× 130 0.4× 298 1.1× 165 0.6× 124 1.6k
Soosan Beheshti Canada 17 314 0.6× 124 0.4× 106 0.3× 118 0.4× 109 0.4× 104 816
Sudipta Mukhopadhyay India 27 745 1.5× 138 0.4× 127 0.4× 234 0.8× 514 1.8× 133 2.8k
Xavier Alameda-Pineda France 24 895 1.8× 422 1.3× 126 0.4× 138 0.5× 302 1.1× 69 2.0k
Vinay K. Ingle United States 11 328 0.7× 392 1.2× 255 0.8× 74 0.3× 207 0.7× 57 1.5k
Son Lam Phung Australia 24 1.3k 2.8× 136 0.4× 166 0.5× 100 0.4× 487 1.7× 150 2.6k
Hamid Abrishami Moghaddam Iran 23 823 1.7× 108 0.3× 102 0.3× 182 0.6× 208 0.7× 108 1.7k
Shang‐Hong Lai Taiwan 28 2.5k 5.2× 456 1.4× 151 0.5× 141 0.5× 224 0.8× 230 3.2k

Countries citing papers authored by Vahid Abolghasemi

Since Specialization
Citations

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

Fields of papers citing papers by Vahid Abolghasemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahid Abolghasemi

This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Abolghasemi. A scholar is included among the top collaborators of Vahid Abolghasemi 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 Vahid Abolghasemi. Vahid Abolghasemi 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.
Fateh, Mansoor, et al.. (2025). HybridBranchNetV2: Towards reliable artificial intelligence in image classification using reinforcement learning. PLoS ONE. 20(2). e0314393–e0314393. 1 indexed citations
2.
Fateh, Mansoor, et al.. (2025). Multi‐Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation. Advanced Intelligent Systems. 7(8).
3.
Abolghasemi, Vahid, et al.. (2024). Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network. 389–394. 1 indexed citations
4.
Gharahbagh, Abdorreza Alavi, et al.. (2024). Single Image Denoising via a New Lightweight Learning-Based Model. IEEE Access. 12. 121077–121092. 11 indexed citations
5.
Abolghasemi, Vahid, et al.. (2024). Strawberry Disease Detection Through an Advanced Squeeze-and-Excitation Deep Learning Model. Open Access at Essex (University of Essex). 2(2). 259–267. 14 indexed citations
6.
Fateh, Mansoor, et al.. (2024). A novel deep neural network structure for software fault prediction. PeerJ Computer Science. 10. e2270–e2270. 3 indexed citations
7.
Fateh, Mansoor, et al.. (2023). Text Line Detection and Correction for Challenging Datasets: A Case Study with Newspapers Dataset. SSRN Electronic Journal. 1 indexed citations
8.
9.
Bamdad, Mahdi, et al.. (2022). Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques. Medical & Biological Engineering & Computing. 60(3). 683–699. 29 indexed citations
10.
Pouyan, Ali A., et al.. (2019). An Adaptive Learning Game for Autistic Children using Reinforcement Learning and Fuzzy Logic. SHILAP Revista de lepidopterología. 2 indexed citations
11.
Ferdowsi, Saideh & Vahid Abolghasemi. (2017). Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification. IEEE Transactions on Biomedical Engineering. 65(8). 1717–1724. 5 indexed citations
12.
Amiri, Mahmood, et al.. (2016). A fast approach for single image super resolution via dictionary learning. 1–5. 2 indexed citations
13.
Dong, Yue, Hungyen Lin, Vahid Abolghasemi, et al.. (2016). Investigating Intra-Tablet Coating Uniformity With Spectral-Domain Optical Coherence Tomography. Journal of Pharmaceutical Sciences. 106(2). 546–553. 20 indexed citations
14.
Pouyan, Ali A., et al.. (2016). Projective dictionary pair learning for EEG signal classification in brain computer interface applications. Neurocomputing. 218. 382–389. 30 indexed citations
15.
Ferdowsi, Saideh, Vahid Abolghasemi, & Saeid Sanei. (2013). EEG-FMRI integration using a partially constrained tensor factorization. 33. 6191–6195. 5 indexed citations
16.
Abolghasemi, Vahid, Saideh Ferdowsi, & Saeid Sanei. (2012). Blind Separation of Image Sources via Adaptive Dictionary Learning. IEEE Transactions on Image Processing. 21(6). 2921–2930. 36 indexed citations
17.
Ferdowsi, Saideh, Vahid Abolghasemi, Bahador Makkiabadi, & Saeid Sanei. (2011). A new spatially constrained NMF with application to fMRI. PubMed. 2011. 5052–5055. 7 indexed citations
18.
Abolghasemi, Vahid, Saideh Ferdowsi, & Saeid Sanei. (2011). Sparse multichannel source separation using incoherent K-SVD method. View. 54. 477–480. 1 indexed citations
19.
20.
Abolghasemi, Vahid, et al.. (2009). Segmented compressive sensing. View. 630–633. 7 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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