Hesam Omranpour

431 total citations
30 papers, 313 citations indexed

About

Hesam Omranpour is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hesam Omranpour has authored 30 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Hesam Omranpour's work include EEG and Brain-Computer Interfaces (7 papers), Blind Source Separation Techniques (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Hesam Omranpour is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Blind Source Separation Techniques (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Hesam Omranpour collaborates with scholars based in Iran, Canada and Germany. Hesam Omranpour's co-authors include Homayun Motameni, Fatemeh Haghighi, Saeed Shiry Ghidary, Ali Rahmanian, Mohammad Kazem Akbari, Mohammad Mehdi Ebadzadeh, Ehsan Khamehchi, Madjid Tavana, Ali Ebrahimnejad and Gevork B. Gharehpetian and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Neural Computing and Applications.

In The Last Decade

Hesam Omranpour

27 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hesam Omranpour Iran 10 82 72 71 58 43 30 313
Mohamed Taher Egypt 10 94 1.1× 79 1.1× 48 0.7× 57 1.0× 30 0.7× 75 355
Yanan Chen China 10 33 0.4× 87 1.2× 51 0.7× 28 0.5× 24 0.6× 34 279
Jesús Barba Spain 11 128 1.6× 69 1.0× 61 0.9× 48 0.8× 20 0.5× 50 390
Adriana Dapena Spain 9 90 1.1× 61 0.8× 42 0.6× 37 0.6× 28 0.7× 61 369
Beatriz A. Garro Mexico 9 35 0.4× 73 1.0× 218 3.1× 33 0.6× 18 0.4× 16 383
Varun Tiwari India 10 45 0.5× 90 1.3× 73 1.0× 21 0.4× 19 0.4× 29 316
Shangming Yang China 10 120 1.5× 129 1.8× 142 2.0× 36 0.6× 19 0.4× 39 395
Guojun Mao China 10 44 0.5× 60 0.8× 191 2.7× 21 0.4× 77 1.8× 42 407
Kerstin Eder United Kingdom 12 112 1.4× 48 0.7× 123 1.7× 22 0.4× 50 1.2× 64 469
Sam Leroux Belgium 11 122 1.5× 108 1.5× 149 2.1× 28 0.5× 28 0.7× 38 300

Countries citing papers authored by Hesam Omranpour

Since Specialization
Citations

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

Fields of papers citing papers by Hesam Omranpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hesam Omranpour

This figure shows the co-authorship network connecting the top 25 collaborators of Hesam Omranpour. A scholar is included among the top collaborators of Hesam Omranpour 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 Hesam Omranpour. Hesam Omranpour 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.
Omranpour, Hesam, et al.. (2024). Extended random forest for multivariate air quality forecasting. International Journal of Machine Learning and Cybernetics. 16(2). 1175–1199. 1 indexed citations
2.
Omranpour, Hesam, et al.. (2023). Cluster-based phase space density feature in multichannel scalp EEG for seizure prediction by deep learning. Biomedical Signal Processing and Control. 86. 105276–105276. 8 indexed citations
3.
Omranpour, Hesam, et al.. (2023). Breast cancer prediction by ensemble meta-feature space generator based on deep neural network. Biomedical Signal Processing and Control. 87. 105382–105382. 9 indexed citations
4.
Omranpour, Hesam, et al.. (2023). EM-CSP: An efficient multiclass common spatial pattern feature method for speech imagery EEG signals recognition. Biomedical Signal Processing and Control. 84. 104933–104933. 9 indexed citations
5.
Omranpour, Hesam, et al.. (2023). Learning classifiers in clustered data: BCI pattern recognition model for EEG-based human emotion recognition. Computer Methods in Biomechanics & Biomedical Engineering. 27(12). 1649–1663.
6.
Omranpour, Hesam, et al.. (2023). Representation of fingerprint recognition system based on geometric and statistical features of distance and angle of minutiae points. Multimedia Tools and Applications. 82(18). 27727–27750. 1 indexed citations
7.
Omranpour, Hesam, et al.. (2022). Presentation of encryption method for RGB images based on an evolutionary algorithm using chaos functions and hash tables. Multimedia Tools and Applications. 82(6). 9343–9360.
8.
Omranpour, Hesam, et al.. (2022). Epileptic seizure classification using ConvLSTM deep classifier and rotation short-time Fourier Transform. Journal of Ambient Intelligence and Humanized Computing. 14(4). 3809–3825. 14 indexed citations
9.
Omranpour, Hesam, et al.. (2022). CSP-Ph-PS: Learning CSP-phase space and Poincare sections based on evolutionary algorithm for EEG signals recognition. Expert Systems with Applications. 211. 118621–118621. 8 indexed citations
10.
Omranpour, Hesam, et al.. (2020). Phase space elliptic density feature for epileptic EEG signals classification using metaheuristic optimization method. Knowledge-Based Systems. 205. 106276–106276. 25 indexed citations
11.
Omranpour, Hesam, et al.. (2020). Random forest and rotation forest ensemble methods for classification of epileptic EEG signals based on improved 1D‐LBP feature extraction. International Journal of Imaging Systems and Technology. 31(1). 189–203. 6 indexed citations
12.
Omranpour, Hesam, et al.. (2018). Presenting a Fuzzy Approach to Optimize Predicting High Order Time Series. 15(2). 3–16.
13.
Omranpour, Hesam & Saeed Shiry Ghidary. (2015). A heuristic supervised Euclidean data difference dimension reduction for KNN classifier and its application to visual place classification. Neural Computing and Applications. 27(7). 1867–1881. 9 indexed citations
14.
Motameni, Homayun, et al.. (2014). Task scheduling using NSGA II with fuzzy adaptive operators for computational grids. Journal of Parallel and Distributed Computing. 74(5). 2333–2350. 34 indexed citations
15.
Omranpour, Hesam & Saeed Shiry Ghidary. (2012). Reduced Search Space Algorithm for Simultaneous Localization and Mapping in Mobile Robots. IAES International Journal of Robotics and Automation (IJRA). 1(1). 4 indexed citations
16.
Motameni, Homayun, et al.. (2012). Task scheduling with Load balancing for computational grid using NSGA II with fuzzy mutation. 2. 79–84. 15 indexed citations
17.
Rahmanian, Ali, et al.. (2011). A novel genetic algorithm in LEACH-C routing protocol for sensor networks. 1096–1100. 34 indexed citations
18.
Omranpour, Hesam, et al.. (2010). Mobile Robot Global Localization using Imperialist Competitive Algorithm. V5–524. 4 indexed citations
19.
Omranpour, Hesam, et al.. (2008). A novel approach for a Z-matrix building process using Genetic Algorithm. 1161–1165. 2 indexed citations
20.

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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