Sadegh Karimpouli

1.5k total citations · 1 hit paper
37 papers, 1.2k citations indexed

About

Sadegh Karimpouli is a scholar working on Geophysics, Ocean Engineering and Mechanics of Materials. According to data from OpenAlex, Sadegh Karimpouli has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Geophysics, 18 papers in Ocean Engineering and 16 papers in Mechanics of Materials. Recurrent topics in Sadegh Karimpouli's work include Seismic Imaging and Inversion Techniques (16 papers), Hydrocarbon exploration and reservoir analysis (10 papers) and Hydraulic Fracturing and Reservoir Analysis (10 papers). Sadegh Karimpouli is often cited by papers focused on Seismic Imaging and Inversion Techniques (16 papers), Hydrocarbon exploration and reservoir analysis (10 papers) and Hydraulic Fracturing and Reservoir Analysis (10 papers). Sadegh Karimpouli collaborates with scholars based in Iran, Germany and United States. Sadegh Karimpouli's co-authors include Pejman Tahmasebi, Erik H. Saenger, Hamed Lamei Ramandi, Nader Fathianpour, Alireza Malehmir, Hadi Fattahi, Seyed Ahmad Lajevardi, Hossein Hassanı, Majid Nabi‐Bidhendi and Mansour Ziaii and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth and Planetary Science Letters and Geophysics.

In The Last Decade

Sadegh Karimpouli

36 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Segmentation of digital rock images using deep convolutional autoencoder networks

2019 238 citations Sadegh Karimpouli, Pejman Tahmasebi Computers & Geosciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sadegh Karimpouli Iran	19	553	497	457	339	160	37	1.2k
Behzad Tokhmechi Iran	18	587 1.1×	435 0.9×	564 1.2×	210 0.6×	153 1.0×	76	989
Zhi Zhong China	18	560 1.0×	225 0.5×	400 0.9×	232 0.7×	218 1.4×	72	1.3k
Daolun Li China	18	590 1.1×	451 0.9×	562 1.2×	108 0.3×	61 0.4×	64	1.1k
Hanming Gu China	20	492 0.9×	313 0.6×	343 0.8×	780 2.3×	197 1.2×	89	1.1k
Youzuo Lin United States	21	620 1.1×	155 0.3×	278 0.6×	909 2.7×	357 2.2×	103	1.6k
Ronny Hofmann United States	24	1.2k 2.2×	904 1.8×	963 2.1×	1.1k 3.2×	62 0.4×	72	2.1k
Junxing Cao China	21	444 0.8×	334 0.7×	377 0.8×	849 2.5×	179 1.1×	111	1.3k
Serveh Kamrava United States	15	341 0.6×	231 0.5×	204 0.4×	103 0.3×	66 0.4×	21	797
Siyuan Cao China	19	351 0.6×	154 0.3×	180 0.4×	824 2.4×	136 0.8×	71	1.3k
Tao Zhao China	22	573 1.0×	338 0.7×	519 1.1×	833 2.5×	274 1.7×	109	1.7k

Countries citing papers authored by Sadegh Karimpouli

Since Specialization

Citations

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

Fields of papers citing papers by Sadegh Karimpouli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadegh Karimpouli

This figure shows the co-authorship network connecting the top 25 collaborators of Sadegh Karimpouli. A scholar is included among the top collaborators of Sadegh Karimpouli 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 Sadegh Karimpouli. Sadegh Karimpouli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Karimpouli, Sadegh, Grzegorz Kwiatek, Patricia Martínez‐Garzón, et al.. (2025). Forecasting induced seismicity in enhanced geothermal systems using machine learning: challenges and opportunities. Geophysical Journal International. 242(2). 1 indexed citations

Karimpouli, Sadegh, et al.. (2025). Investigation of interlayer bonding and pore characteristics in 3D-printed high-strength mortar incorporating recycled lightweight aggregates. Journal of Building Engineering. 103. 112183–112183. 2 indexed citations

Karimpouli, Sadegh, et al.. (2025). MaxMagMod: A Web-Based Application for Next Largest Magnitude Forecasting in Enhanced Geothermal Systems. Seismological Research Letters. 97(1). 501–513.

Karimpouli, Sadegh, Grzegorz Kwiatek, Yehuda Ben‐Zion, et al.. (2024). Empowering Machine Learning Forecasting of Labquake Using Event‐Based Features and Clustering Characteristics. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1(2). 3 indexed citations

Karimpouli, Sadegh, Grzegorz Kwiatek, Patricia Martínez‐Garzón, Georg Dresen, & Marco Bohnhoff. (2024). Unsupervised clustering of catalogue-driven features for characterizing temporal evolution of labquake stress. Geophysical Journal International. 237(2). 755–771. 9 indexed citations

Karimpouli, Sadegh, Patricia Martínez‐Garzón, Marco Bohnhoff, et al.. (2023). Explainable machine learning for labquake prediction using catalog-driven features. Earth and Planetary Science Letters. 622. 118383–118383. 17 indexed citations

Karimpouli, Sadegh, et al.. (2023). Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation. Acta Geophysica. 72(2). 861–874. 9 indexed citations

Karimpouli, Sadegh, Pejman Tahmasebi, & Erik H. Saenger. (2021). Ultrasonic prediction of crack density using machine learning: A numerical investigation. Geoscience Frontiers. 13(1). 101277–101277. 9 indexed citations

Lajevardi, Seyed Ahmad, et al.. (2020). Effects of pore(s)-crack locations and arrangements on crack growth modeling in porous media. Theoretical and Applied Fracture Mechanics. 107. 102529–102529. 15 indexed citations

10.

Karimpouli, Sadegh & Pejman Tahmasebi. (2020). Physics informed machine learning: Seismic wave equation. Geoscience Frontiers. 11(6). 1993–2001. 118 indexed citations

11.

Karimpouli, Sadegh & Pejman Tahmasebi. (2019). Segmentation of digital rock images using deep convolutional autoencoder networks. Computers & Geosciences. 126. 142–150. 238 indexed citations breakdown →

12.

Karimpouli, Sadegh & Pejman Tahmasebi. (2019). Image-based velocity estimation of rock using Convolutional Neural Networks. Neural Networks. 111. 89–97. 85 indexed citations

13.

Karimpouli, Sadegh, et al.. (2019). Computing heterogeneous core sample velocity using Digital Rock Physics: A multiscale approach. Computers & Geosciences. 135. 104378–104378. 28 indexed citations

14.

Karimpouli, Sadegh, Pejman Tahmasebi, & Erik H. Saenger. (2018). Estimating 3D elastic moduli of rock from 2D thin-section images using differential effective medium theory. Geophysics. 83(4). MR211–MR219. 28 indexed citations

15.

Ziaii, Mansour, et al.. (2017). Using a Feature Subset Selection method and Support Vector Machine to address curse of dimensionality and redundancy in Hyperion hyperspectral data classification. The Egyptian Journal of Remote Sensing and Space Science. 21(1). 27–36. 49 indexed citations

16.

Karimpouli, Sadegh, Pejman Tahmasebi, Hamed Lamei Ramandi, Peyman Mostaghimi, & Mohammad Saadatfar. (2017). Stochastic modeling of coal fracture network by direct use of micro-computed tomography images. International Journal of Coal Geology. 179. 153–163. 44 indexed citations

17.

Karimpouli, Sadegh & Pejman Tahmasebi. (2016). Conditional reconstruction: An alternative strategy in digital rock physics. Geophysics. 81(4). D465–D477. 50 indexed citations

18.

Ziaii, Mansour, et al.. (2015). High performance of the support vector machine in classifying hyperspectral data using a limited dataset. SHILAP Revista de lepidopterología. 49(2). 253–268. 3 indexed citations

19.

Karimpouli, Sadegh & Alireza Malehmir. (2015). Neuro-Bayesian facies inversion of prestack seismic data from a carbonate reservoir in Iran. Journal of Petroleum Science and Engineering. 131. 11–17. 20 indexed citations

20.

Karimpouli, Sadegh, et al.. (2013). Application of probabilistic facies prediction and estimation of rock physics parameters in a carbonate reservoir from Iran. Journal of Geophysics and Engineering. 10(1). 15008–15008. 29 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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