Jafar Saniie

4.7k total citations
364 papers, 3.4k citations indexed

About

Jafar Saniie is a scholar working on Mechanics of Materials, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Jafar Saniie has authored 364 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Mechanics of Materials, 105 papers in Computer Vision and Pattern Recognition and 68 papers in Mechanical Engineering. Recurrent topics in Jafar Saniie's work include Ultrasonics and Acoustic Wave Propagation (106 papers), Non-Destructive Testing Techniques (50 papers) and Image and Signal Denoising Methods (46 papers). Jafar Saniie is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (106 papers), Non-Destructive Testing Techniques (50 papers) and Image and Signal Denoising Methods (46 papers). Jafar Saniie collaborates with scholars based in United States, Finland and Türkiye. Jafar Saniie's co-authors include Ramazan Demirli, Erdal Oruklu, N.M. Bilgutay, Yufeng Lu, Alexander Heifetz, Sasan Bakhtiari, V.L. Newhouse, E.S. Furgason, Xin Xiao and Semih Aslan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Jafar Saniie

332 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jafar Saniie United States 27 1.5k 846 806 591 541 364 3.4k
Yuequan Bao China 41 1.2k 0.8× 339 0.4× 873 1.1× 3.6k 6.2× 335 0.6× 97 4.7k
Jong-Myon Kim South Korea 49 1.4k 1.0× 592 0.7× 2.8k 3.5× 1.2k 2.0× 913 1.7× 291 6.9k
Xingwu Zhang China 31 843 0.6× 333 0.4× 1.7k 2.1× 932 1.6× 655 1.2× 122 3.5k
Qingbo He China 46 1.2k 0.8× 187 0.2× 2.6k 3.2× 1.1k 1.8× 684 1.3× 223 6.3k
Michael D. Todd United States 40 1.7k 1.1× 235 0.3× 1.4k 1.7× 3.2k 5.3× 1.2k 2.2× 297 5.7k
Baoping Tang China 44 1.8k 1.2× 379 0.4× 3.4k 4.3× 940 1.6× 864 1.6× 209 7.7k
Xingjian Dong China 32 665 0.5× 218 0.3× 944 1.2× 1.0k 1.8× 267 0.5× 103 3.3k
Ming Zhao China 41 1.6k 1.1× 281 0.3× 3.6k 4.5× 972 1.6× 447 0.8× 165 6.4k
Jean‐Claude Golinval Belgium 34 1.3k 0.9× 282 0.3× 1.4k 1.7× 4.5k 7.6× 501 0.9× 179 6.1k
Leopoldo Angrisani Italy 27 247 0.2× 381 0.5× 196 0.2× 233 0.4× 1.8k 3.3× 271 3.3k

Countries citing papers authored by Jafar Saniie

Since Specialization
Citations

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

Fields of papers citing papers by Jafar Saniie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jafar Saniie

This figure shows the co-authorship network connecting the top 25 collaborators of Jafar Saniie. A scholar is included among the top collaborators of Jafar Saniie 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 Jafar Saniie. Jafar Saniie 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
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Yu, Xinrui, et al.. (2024). AI-Based Eye Tracking for Human-Computer Interaction. 241–246.
3.
Yu, Xinrui, et al.. (2024). InfaSafe: A Comprehensive, Non-invasive Infant Monitoring System. 291–296. 1 indexed citations
4.
Yu, Xinrui, et al.. (2024). Facial Recognition Attendance Tracking: An Intelligent Monitoring Approach. 520–524. 1 indexed citations
5.
Yu, Xinrui, et al.. (2024). Autonomous Patrol and Threat Detection Through Integrated Mapping and Computer Vision. 398–403. 1 indexed citations
6.
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Gromov, M., David Arnold, & Jafar Saniie. (2023). Utilizing Computer Vision Algorithms to Detect and Classify Cyberattacks in IoT Environments in Real-Time. 300–303. 1 indexed citations
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Arnold, David, et al.. (2023). Heterogeneity Tolerance in IoT Botnet Attack Classification. 353–356. 1 indexed citations
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11.
Yu, Xinrui, et al.. (2023). Smart Infant Monitoring System Using Computer Vision and AI. 1–6. 1 indexed citations
12.
Zhang, Xin & Jafar Saniie. (2023). Ultrasonic Imaging and Flaw Detection with Optimized Convolutional Transformer Neural Networks. 1–3. 1 indexed citations
13.
14.
Arnold, David, Charlotte C. David, & Jafar Saniie. (2022). PowerShell Malware Analysis Using a Novel Malware Rating System. 182–187. 1 indexed citations
15.
Yu, Xinrui, et al.. (2022). Indoor Navigation System for Visually Impaired People using Computer Vision. 257–260. 6 indexed citations
16.
Zhang, Xin & Jafar Saniie. (2021). Unsupervised Learning for 3D Ultrasonic Data Compression. 1–3. 4 indexed citations
17.
Saniie, Jafar, et al.. (2015). Transforming computer engineering laboratory courses for distance learning and collaboration. International journal of engineering education. 31(1). 106–120. 6 indexed citations
18.
Zhou, Zhen, et al.. (2015). Design flow of motion based single camera 3D mapping. 33. 341–345. 6 indexed citations
19.
Oruklu, Erdal, et al.. (2010). Exploring scalability of FIR filter realizations on Graphics Processing Units. 1–5. 1 indexed citations
20.
Saniie, Jafar, et al.. (1993). Morphological processing for features extraction.. Proc SPIE. 2030. 288–302. 1 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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