Ghassan AlRegib

5.6k total citations
216 papers, 3.4k citations indexed

About

Ghassan AlRegib is a scholar working on Computer Vision and Pattern Recognition, Geophysics and Artificial Intelligence. According to data from OpenAlex, Ghassan AlRegib has authored 216 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Vision and Pattern Recognition, 66 papers in Geophysics and 46 papers in Artificial Intelligence. Recurrent topics in Ghassan AlRegib's work include Seismic Imaging and Inversion Techniques (66 papers), Advanced Vision and Imaging (36 papers) and Video Coding and Compression Technologies (31 papers). Ghassan AlRegib is often cited by papers focused on Seismic Imaging and Inversion Techniques (66 papers), Advanced Vision and Imaging (36 papers) and Video Coding and Compression Technologies (31 papers). Ghassan AlRegib collaborates with scholars based in United States, Saudi Arabia and China. Ghassan AlRegib's co-authors include Haibin Di, Junlin Li, Y. Altunbasak, Motaz Alfarraj, Zhen Wang, Zsolt Kira, Biing‐Hwang Juang, Mingyu Chen, Min-Hung Chen and Chih‐Yao Ma and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Ghassan AlRegib

204 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ghassan AlRegib United States 31 1.5k 1.1k 962 861 450 216 3.4k
Mohamed Deriche Saudi Arabia 29 1.3k 0.9× 290 0.3× 519 0.5× 218 0.3× 203 0.5× 246 3.1k
Stefano Tubaro Italy 38 4.0k 2.7× 302 0.3× 751 0.8× 397 0.5× 214 0.5× 403 5.8k
Yvan Pétillot United Kingdom 38 1.7k 1.2× 45 0.0× 713 0.7× 2.4k 2.7× 234 0.5× 220 4.9k
Hanseok Ko South Korea 24 1.2k 0.8× 106 0.1× 736 0.8× 116 0.1× 57 0.1× 305 2.6k
Kristin Dana United States 30 2.8k 1.9× 40 0.0× 533 0.6× 270 0.3× 44 0.1× 76 4.5k
Bineng Zhong China 30 5.6k 3.7× 40 0.0× 757 0.8× 150 0.2× 128 0.3× 142 6.7k
Xin Yu China 36 2.9k 1.9× 49 0.0× 769 0.8× 105 0.1× 47 0.1× 260 4.3k
Meiling Wang China 24 745 0.5× 64 0.1× 364 0.4× 164 0.2× 166 0.4× 225 2.3k
Ke Chen China 26 1.6k 1.1× 37 0.0× 1.3k 1.3× 149 0.2× 74 0.2× 142 2.9k
Mário F. M. Campos Brazil 30 2.5k 1.7× 31 0.0× 330 0.3× 381 0.4× 670 1.5× 150 3.6k

Countries citing papers authored by Ghassan AlRegib

Since Specialization
Citations

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

Fields of papers citing papers by Ghassan AlRegib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghassan AlRegib

This figure shows the co-authorship network connecting the top 25 collaborators of Ghassan AlRegib. A scholar is included among the top collaborators of Ghassan AlRegib 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 Ghassan AlRegib. Ghassan AlRegib 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.
AlRegib, Ghassan, et al.. (2024). VOICE: Variance of Induced Contrastive Explanations to Quantify Uncertainty in Neural Network Interpretability. IEEE Journal of Selected Topics in Signal Processing. 19(1). 19–31. 2 indexed citations
2.
AlRegib, Ghassan, et al.. (2024). Effective Data Selection for Seismic Interpretation Through Disagreement. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 1 indexed citations
3.
Quesada, Jorge R., et al.. (2024). PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model. 1604–1610. 1 indexed citations
4.
AlRegib, Ghassan, et al.. (2023). Explainable machine learning for hydrocarbon prospect risking. Geophysics. 89(1). WA13–WA24. 2 indexed citations
5.
AlRegib, Ghassan, et al.. (2023). Active learning with deep autoencoders for seismic facies interpretation. Geophysics. 88(4). IM77–IM86. 10 indexed citations
6.
Iqbal, Naveed, Mohamed Deriche, Ghassan AlRegib, & Sikandar Khan. (2023). Blind Curvelet-Based Denoising of Seismic Surveys in Coherent and Incoherent Noise Environments. Arabian Journal for Science and Engineering. 48(8). 10925–10935. 4 indexed citations
7.
AlRegib, Ghassan, et al.. (2023). Exploiting the Distortion-Semantic Interaction in Fisheye Data. IEEE Open Journal of Signal Processing. 4. 284–293. 5 indexed citations
8.
AlRegib, Ghassan, et al.. (2023). Counterfactual uncertainty for high dimensional tabular dataset. 960–964. 2 indexed citations
9.
AlRegib, Ghassan, et al.. (2022). Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior. 2022 IEEE International Conference on Image Processing (ICIP). 4088–4092. 1 indexed citations
10.
AlRegib, Ghassan, et al.. (2021). Self-supervised delineation of geologic structures using orthogonal latent space projection. Geophysics. 86(6). V497–V508. 5 indexed citations
11.
Di, Haibin & Ghassan AlRegib. (2019). Semi‐automatic fault/fracture interpretation based on seismic geometry analysis. Geophysical Prospecting. 67(5). 1379–1391. 19 indexed citations
12.
Ma, Chih‐Yao, Jiasen Lu, Zuxuan Wu, et al.. (2019). Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. arXiv (Cornell University). 26 indexed citations
13.
Alfarraj, Motaz, Yazeed Alaudah, Zhiling Long, & Ghassan AlRegib. (2018). Multiresolution analysis and learning for computational seismic interpretation. The Leading Edge. 37(6). 443–450. 10 indexed citations
14.
Wang, Zhen, et al.. (2018). Successful leveraging of image processing and machine learning in seismic structural interpretation: A review. The Leading Edge. 37(6). 451–461. 99 indexed citations
15.
Temel, Dogancan, Jin-Sol Lee, & Ghassan AlRegib. (2018). CURE-OR: Challenging Unreal and Real Environments for Object Recognition. 137–144. 22 indexed citations
16.
AlRegib, Ghassan, Mohamed Deriche, Zhiling Long, et al.. (2018). Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing Perspective. IEEE Signal Processing Magazine. 35(2). 82–98. 57 indexed citations
17.
Alfarraj, Motaz, Yazeed Alaudah, & Ghassan AlRegib. (2016). Content-adaptive non-parametric texture similarity measure. arXiv (Cornell University). 1–6. 10 indexed citations
18.
Wang, Zhen, Tamir Hegazy, Zhiling Long, & Ghassan AlRegib. (2015). Noise-robust detection and tracking of salt domes in postmigrated volumes using texture, tensors, and subspace learning. Geophysics. 80(6). WD101–WD116. 61 indexed citations
19.
Alaudah, Yazeed & Ghassan AlRegib. (2015). A curvelet-based distance measure for seismic images. 4200–4204. 4 indexed citations
20.
Li, Junlin & Ghassan AlRegib. (2007). Rate-Constrained Distributed Estimation in Wireless Sensor Networks. IEEE Transactions on Signal Processing. 55(5). 1634–1643. 127 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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