Mansour Sheikhan

2.3k total citations
88 papers, 1.8k citations indexed

About

Mansour Sheikhan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mansour Sheikhan has authored 88 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 29 papers in Computer Networks and Communications and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mansour Sheikhan's work include Speech and Audio Processing (14 papers), Network Security and Intrusion Detection (13 papers) and Neural Networks and Applications (11 papers). Mansour Sheikhan is often cited by papers focused on Speech and Audio Processing (14 papers), Network Security and Intrusion Detection (13 papers) and Neural Networks and Applications (11 papers). Mansour Sheikhan collaborates with scholars based in Iran, United States and Australia. Mansour Sheikhan's co-authors include Hamid Bostani, Davood Gharavian, Zahra Jadidi, Reza Shahnazi, Ali Farrokhi, Masoud Monjezi, Morteza Ahmadi, Amir Bahrami, Mohammad‐Shahram Moin and Vahid Tabataba Vakili and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Information Sciences.

In The Last Decade

Mansour Sheikhan

81 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mansour Sheikhan Iran 23 719 638 459 314 252 88 1.8k
Fabio Lavagetto Italy 25 245 0.3× 530 0.8× 362 0.8× 714 2.3× 618 2.5× 134 1.9k
Zhiwen Xiao China 17 613 0.9× 381 0.6× 188 0.4× 218 0.7× 529 2.1× 36 1.6k
Qiang Li China 20 404 0.6× 578 0.9× 306 0.7× 410 1.3× 166 0.7× 173 1.9k
Osama Ahmad Alomari Jordan 25 825 1.1× 204 0.3× 112 0.2× 254 0.8× 227 0.9× 55 1.7k
Sana Ullah Jan United Kingdom 16 512 0.7× 562 0.9× 271 0.6× 179 0.6× 195 0.8× 45 1.4k
Ole J. Mengshoel United States 21 881 1.2× 314 0.5× 154 0.3× 172 0.5× 707 2.8× 129 1.9k
Myo Taeg Lim South Korea 22 494 0.7× 427 0.7× 72 0.2× 457 1.5× 288 1.1× 121 1.9k
Tankut Acarman Türkiye 24 229 0.3× 513 0.8× 376 0.8× 257 0.8× 391 1.6× 115 1.8k
Igor Bisio Italy 30 285 0.4× 1.5k 2.3× 230 0.5× 1.3k 4.2× 437 1.7× 143 2.9k
Feng Zhao China 23 458 0.6× 677 1.1× 470 1.0× 1.5k 4.9× 760 3.0× 111 2.8k

Countries citing papers authored by Mansour Sheikhan

Since Specialization
Citations

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

Fields of papers citing papers by Mansour Sheikhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansour Sheikhan

This figure shows the co-authorship network connecting the top 25 collaborators of Mansour Sheikhan. A scholar is included among the top collaborators of Mansour Sheikhan 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 Mansour Sheikhan. Mansour Sheikhan 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.
Sheikhan, Mansour, et al.. (2025). Deep learning-based UWOC systems employing MLP networks. Physical Communication. 72. 102831–102831.
2.
Rahbar, Kambiz, et al.. (2025). Delicate image segmentation based on cosine kernel graph cut. Journal of Visual Communication and Image Representation. 108. 104430–104430. 1 indexed citations
3.
Rahbar, Kambiz, et al.. (2023). Customized RBF kernel graph-cut for weak boundary image segmentation. Signal Image and Video Processing. 17(6). 3211–3219. 6 indexed citations
4.
Ghaderi, Mohammad Reza & Mansour Sheikhan. (2023). An Energy-Aware Model for Wireless Sensor Networks: Hierarchical Compressive Data Gathering for Hierarchical Grid-Based Routing (HCDG-HGR). Wireless Personal Communications. 129(3). 1645–1668. 2 indexed citations
5.
Ghaderi, Mohammad Reza, Vahid Tabataba Vakili, & Mansour Sheikhan. (2019). Compressive Sensing in IoT-Based Multi- Sensor Wireless Sensor Networks. SHILAP Revista de lepidopterología. 11(3). 17–30.
6.
Ghaderi, Mohammad Reza, Vahid Tabataba Vakili, & Mansour Sheikhan. (2019). FGAF-CDG: fuzzy geographic routing protocol based on compressive data gathering in wireless sensor networks. Journal of Ambient Intelligence and Humanized Computing. 11(6). 2567–2589. 13 indexed citations
7.
Ghaderi, Mohammad Reza, Vahid Tabataba Vakili, & Mansour Sheikhan. (2018). STCS-GAF: Spatio-Temporal Compressive Sensing in Wireless Sensor Networks- A GAF-Based Approach. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Sheikhan, Mansour & Hamid Bostani. (2017). A Security Mechanism for Detecting Intrusions in Internet of Things Using Selected Features Based on MI-BGSA. SHILAP Revista de lepidopterología. 8 indexed citations
9.
Sheikhan, Mansour. (2016). Hybrid of Evolutionary and Swarm Intelligence Algorithms for Prosody Modeling in Natural Speech Synthesis. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Ghofrani, Sedigheh, et al.. (2015). Comparing Undecimated Wavelet, Nonsubsampled Contourlet and Shearlet for Sar Images Despeckling. SHILAP Revista de lepidopterología. 9(3). 7–15. 1 indexed citations
11.
Khademzadeh, Ahmad, et al.. (2015). RESOURCE RESERVATION IN GRID NETWORKS BASED ON IRREGULAR CELLULAR LEARNING AUTOMATA. 7(3). 53–61.
12.
Sheikhan, Mansour, et al.. (2015). Connection Optimization of a Neural Emotion Classifier Using Hybrid Gravitational Search Algorithms. SHILAP Revista de lepidopterología.
13.
Sheikhan, Mansour, et al.. (2013). A fuzzy approach for facial emotion recognition. 1–4. 8 indexed citations
14.
Sheikhan, Mansour, et al.. (2013). Face recognition using contourlet-based features and hybrid PSO-neural model. 181–186. 4 indexed citations
15.
Sheikhan, Mansour, et al.. (2012). GA-PSO-Optimized Neural-Based Control Scheme for Adaptive Congestion Control to Improve Performance in Multimedia Applications. SHILAP Revista de lepidopterología. 6(1). 11–23. 3 indexed citations
16.
Sheikhan, Mansour, et al.. (2011). Application of Fuzzy Association Rules-Based Feature Selection and Fuzzy ARTMAP to Intrusion Detection. Majlesi Journal of Electrical Engineering. 5(419). 1–8. 3 indexed citations
17.
Sheikhan, Mansour, et al.. (2010). Intrusion Detection Based on Rule Extraction from Dynamic Cell Structure Neural Networks. Majlesi Journal of Electrical Engineering. 4(415). 24–34. 3 indexed citations
18.
Gharavian, Davood, et al.. (2010). Pitch in Emotional Speech and Emotional Speech Recognition Using Pitch Frequency. Majlesi Journal of Electrical Engineering. 4(1). 19–24. 8 indexed citations
19.
Gharavian, Davood & Mansour Sheikhan. (2010). EMOTION RECOGNITION AND EMOTION SPOTTING IMPROVEMENT USING FORMANT-RELATED FEATURES. Majlesi Journal of Electrical Engineering. 4(415). 1–8. 5 indexed citations
20.
Sheikhan, Mansour, et al.. (2010). Blind image steganalysis via joint co-occurrence matrix and statistical moments of contourlet transform. 65790. 368–372. 11 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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