Reza Ebrahimpour

3.1k total citations
139 papers, 2.0k citations indexed

About

Reza Ebrahimpour is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Reza Ebrahimpour has authored 139 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 50 papers in Computer Vision and Pattern Recognition and 21 papers in Artificial Intelligence. Recurrent topics in Reza Ebrahimpour's work include Face and Expression Recognition (28 papers), Face Recognition and Perception (23 papers) and Neural dynamics and brain function (21 papers). Reza Ebrahimpour is often cited by papers focused on Face and Expression Recognition (28 papers), Face Recognition and Perception (23 papers) and Neural dynamics and brain function (21 papers). Reza Ebrahimpour collaborates with scholars based in Iran, United Kingdom and United States. Reza Ebrahimpour's co-authors include Saeed Masoudnia, Nasour Bagheri, Mohammad Reza Yousefi, Javad Zahiri, Seyed‐Mahdi Khaligh‐Razavi, Ehsanollah Kabir, Ali Badri, Morteza Mohammad-Noori, Ali Masoudi‐Nejad and Mehrdad Javadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Reza Ebrahimpour

123 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reza Ebrahimpour Iran 21 618 473 458 285 266 139 2.0k
Zhongmin Wang China 25 462 0.7× 659 1.4× 424 0.9× 398 1.4× 89 0.3× 132 2.6k
Serkan Günal Türkiye 17 255 0.4× 363 0.8× 894 2.0× 200 0.7× 385 1.4× 43 2.0k
Khaled Elleithy United States 31 449 0.7× 931 2.0× 513 1.1× 520 1.8× 181 0.7× 244 3.0k
Sonya Coleman United Kingdom 22 367 0.6× 999 2.1× 410 0.9× 333 1.2× 59 0.2× 240 2.6k
Yizhang Jiang China 25 485 0.8× 740 1.6× 989 2.2× 103 0.4× 65 0.2× 103 2.3k
Yong Peng China 25 685 1.1× 582 1.2× 589 1.3× 160 0.6× 83 0.3× 137 2.0k
S. Ramakrishnan United States 22 226 0.4× 620 1.3× 541 1.2× 250 0.9× 51 0.2× 199 2.0k
Mohamed F. Tolba Egypt 24 278 0.4× 595 1.3× 530 1.2× 61 0.2× 262 1.0× 171 2.0k
Dongdong Li China 22 343 0.6× 394 0.8× 779 1.7× 132 0.5× 85 0.3× 102 1.6k
John Q. Gan United Kingdom 28 1.1k 1.8× 284 0.6× 1.1k 2.3× 366 1.3× 110 0.4× 148 3.0k

Countries citing papers authored by Reza Ebrahimpour

Since Specialization
Citations

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

Fields of papers citing papers by Reza Ebrahimpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Ebrahimpour

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Ebrahimpour. A scholar is included among the top collaborators of Reza Ebrahimpour 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 Reza Ebrahimpour. Reza Ebrahimpour 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.
Ebrahimpour, Reza, et al.. (2025). Contextual feedback in object recognition: A biologically inspired computational model and human behavioral study. Vision Research. 237. 108679–108679.
2.
Amiri, Shahrokh, et al.. (2024). Effects and prediction of cognitive load on encoding model of brain response to auditory and linguistic stimuli in educational multimedia. Scientific Reports. 14(1). 9133–9133. 3 indexed citations
3.
Ebrahimpour, Reza, et al.. (2024). The impact of changes in daylight illuminance levels on architectural experiences in office environments using virtual reality and electroencephalogram. Journal of Building Engineering. 96. 110487–110487. 5 indexed citations
4.
Ebrahimpour, Reza, et al.. (2024). Daylight illuminance levels, user preferences, and cognitive performance in office environments: Exploring an optimal illuminance range using virtual reality. Building and Environment. 258. 111638–111638. 11 indexed citations
5.
Yaghmaee, Farzin, et al.. (2024). Improving Alzheimer’s disease classification using novel rewards in deep reinforcement learning. Biomedical Signal Processing and Control. 100. 106920–106920. 3 indexed citations
6.
Ebrahimpour, Reza, et al.. (2023). Optical coherence tomography confirms non‐malignant pigmented lesions in phacomatosis pigmentokeratotica using a support vector machine learning algorithm. Skin Research and Technology. 29(6). e13377–e13377. 8 indexed citations
7.
Geary, David C., et al.. (2023). Framing mathematical content in evolutionarily salient contexts improves students’ learning motivation. Learning and Motivation. 82. 101894–101894. 9 indexed citations
8.
Rajimehr, Reza, et al.. (2021). Task‐dependent neural representations of visual object categories. European Journal of Neuroscience. 54(7). 6445–6462. 8 indexed citations
9.
Ebrahimpour, Reza, et al.. (2021). The role of expertise in visual exploration and aesthetic judgment of residential building façades: An eye-tracking study.. Psychology of Aesthetics Creativity and the Arts. 16(1). 148–163. 15 indexed citations
10.
Ebrahimpour, Reza, et al.. (2020). Inherent Importance of Early Visual Features in Attraction of Human Attention. Computational Intelligence and Neuroscience. 2020. 1–15. 3 indexed citations
11.
Ebrahimpour, Reza, et al.. (2020). The Role of Explicit and Implicit Confidence in Multi Stage Decisions. 22(3). 37–47.
12.
Mohsenzadeh, Yalda, et al.. (2019). Beyond core object recognition: Recurrent processes account for object recognition under occlusion. PLoS Computational Biology. 15(5). e1007001–e1007001. 53 indexed citations
13.
Ebrahimpour, Reza, et al.. (2018). The Role of Lighting, Window Views and Indoor Plants on Stress Reduction of Offices’ Staffs by Psychophysics method. SHILAP Revista de lepidopterología. 14(6). 135–147. 4 indexed citations
14.
Ebrahimpour, Reza, et al.. (2015). 1 Decision Templates with Gradient based Features for Farsi Handwritten Word Recognition. 3 indexed citations
15.
Goliaei, Bahram, et al.. (2014). Predicting protein–protein interactions between human and hepatitis C virus via an ensemble learning method. Molecular BioSystems. 10(12). 3147–3154. 40 indexed citations
16.
Olyaee, Saeed, et al.. (2014). Modeling of measurement error in refractive index determination of fuel cell using neural network and genetic algorithm. SHILAP Revista de lepidopterología. 1(2). 95–104. 1 indexed citations
17.
Kheradpisheh, Saeed Reza, Abbas Nowzari-Dalini, Reza Ebrahimpour, & ‎Mohammad Ganjtabesh. (2014). An Evidence-Based Combining Classifier for Brain Signal Analysis. PLoS ONE. 9(1). e84341–e84341. 6 indexed citations
18.
Ebrahimpour, Reza, et al.. (2013). Using Combination of µ,β and γ Bands in Classification of EEG Signals.. PubMed Central. 5 indexed citations
19.
Ebrahimpour, Reza, et al.. (2009). A New Approach to Combine Classifiers Trained by NCL.. International Journal of Digital Content Technology and its Applications. 3. 80–84. 1 indexed citations
20.
Ebrahimpour, Reza, et al.. (2008). A Modified Mixture of MLP Experts for Face Recognition.. IPCV. 740–745. 3 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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