Dmitry Koroteev

2.2k total citations · 1 hit paper
80 papers, 1.6k citations indexed

About

Dmitry Koroteev is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Dmitry Koroteev has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Ocean Engineering, 37 papers in Mechanical Engineering and 27 papers in Mechanics of Materials. Recurrent topics in Dmitry Koroteev's work include Reservoir Engineering and Simulation Methods (32 papers), Hydraulic Fracturing and Reservoir Analysis (28 papers) and Hydrocarbon exploration and reservoir analysis (26 papers). Dmitry Koroteev is often cited by papers focused on Reservoir Engineering and Simulation Methods (32 papers), Hydraulic Fracturing and Reservoir Analysis (28 papers) and Hydrocarbon exploration and reservoir analysis (26 papers). Dmitry Koroteev collaborates with scholars based in Russia, Australia and Canada. Dmitry Koroteev's co-authors include Željko Tekić, Evgeny Burnaev, Denis Orlov, Nikolay Evseev, Ryan T. Armstrong, Steffen Berg, Mohammad Ebadi, Nikita Klyuchnikov, O. Yu. Dinariev and Denis Klemin and has published in prestigious journals such as Scientific Reports, Water Resources Research and Fuel.

In The Last Decade

Dmitry Koroteev

74 papers receiving 1.5k 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.

Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks

2019 173 citations Evgeny Burnaev, Dmitry Koroteev et al. Computers & Geosciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmitry Koroteev Russia	19	874	586	497	180	158	80	1.6k
Yuntian Chen China	17	290 0.3×	266 0.5×	233 0.5×	70 0.4×	123 0.8×	96	1.2k
Jianwei Cheng China	26	776 0.9×	503 0.9×	744 1.5×	83 0.5×	97 0.6×	220	2.9k
Bin Wang China	26	175 0.2×	384 0.7×	131 0.3×	108 0.6×	46 0.3×	262	2.4k
Bo Sun China	30	282 0.3×	337 0.6×	134 0.3×	346 1.9×	63 0.4×	176	2.8k
Xun Wang China	28	402 0.5×	193 0.3×	181 0.4×	86 0.5×	38 0.2×	168	2.1k
Kasun Bandara Australia	18	248 0.3×	274 0.5×	193 0.4×	40 0.2×	197 1.2×	38	1.6k
Yibo Wang China	21	153 0.2×	503 0.9×	157 0.3×	28 0.2×	74 0.5×	152	1.5k
Yongfeng Zhang China	14	413 0.5×	386 0.7×	570 1.1×	16 0.1×	60 0.4×	60	1.5k
Denis José Schiozer Brazil	27	3.1k 3.6×	2.1k 3.6×	383 0.8×	60 0.3×	338 2.1×	397	3.6k

Countries citing papers authored by Dmitry Koroteev

Since Specialization

Citations

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

Fields of papers citing papers by Dmitry Koroteev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Koroteev

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Orlov, Denis, et al.. (2025). Darcy-scale digital core models for rock properties upscaling and computational domain reduction. Journal of Computational Science. 92. 102715–102715.

Illarionov, Egor, et al.. (2025). Production rate forecasting using pressure and saturation estimates near the wellbore. Geoenergy Science and Engineering. 253. 213946–213946.

Koroteev, Dmitry, et al.. (2025). Kriging Is All You Need to Obtain Rock Mechanical Properties From Sparse Spatial Data. SPE Journal. 30(5). 2269–2284. 1 indexed citations

Orlov, Denis, et al.. (2023). Kriging-boosted CR modeling for prompt infill drilling optimization. Petroleum. 10(1). 39–48. 2 indexed citations

Koroteev, Dmitry, et al.. (2023). Geomechanical Rock Properties from Surface Drilling Telemetry. SPE Journal. 28(6). 3252–3271. 2 indexed citations

Ebadi, Mohammad, Denis Orlov, Mohammad Sharifi, et al.. (2023). Using computational fluid dynamics to compute the pore-scale CO2-brine relative permeability. Fuel. 341. 127715–127715. 16 indexed citations

Bryan, J., et al.. (2022). Application of XGBoost model for in-situ water saturation determination in Canadian oil-sands by LF-NMR and density data. Scientific Reports. 12(1). 13984–13984. 18 indexed citations

Orlov, Denis, et al.. (2022). Generative adversarial networks for reconstruction of three-dimensional porous media from two-dimensional slices. Physical review. E. 105(2). 25304–25304. 20 indexed citations

Orlov, Denis, et al.. (2022). Machine Learning to Rate and Predict the Efficiency of Waterflooding for Oil Production. Energies. 15(3). 1199–1199. 16 indexed citations

10.

Orlov, Denis, et al.. (2021). AI-Based Well Ranking System for Hydraulic Fracturing Events.

11.

Ebadi, Mohammad, et al.. (2021). Strengthening the digital rock physics, using downsampling for sub-resolved pores in tight sandstones. Journal of Natural Gas Science and Engineering. 89. 103869–103869. 11 indexed citations

12.

Ismailova, Leyla, et al.. (2019). Deep convolutions for in-depth automated rock typing. Computers & Geosciences. 135. 104330–104330. 85 indexed citations

13.

Ismailova, Leyla, et al.. (2019). Machine Vision Methods in the Application for Core Image Segmentation. 1–5. 1 indexed citations

14.

Koroteev, Dmitry, et al.. (2019). Gradient boosting to boost the efficiency of hydraulic fracturing. Journal of Petroleum Exploration and Production Technology. 9(3). 1919–1925. 30 indexed citations

15.

Klyuchnikov, Nikita, et al.. (2019). Application of machine learning to accidents detection at directional drilling. Journal of Petroleum Science and Engineering. 184. 106519–106519. 55 indexed citations

16.

Koroteev, Dmitry. (2017). Manufacturing of concrete elements on mobile polygons with the using of solar energy. International Journal of ADVANCED AND APPLIED SCIENCES. 4(10). 10–14. 4 indexed citations

17.

Koroteev, Dmitry. (2017). Influence of the dry and hot climate conditions on the technology of concrete works. International Journal of ADVANCED AND APPLIED SCIENCES. 4(12). 5–9. 1 indexed citations

18.

Armstrong, Ryan T., Steffen Berg, O. Yu. Dinariev, et al.. (2016). Modeling of Pore-Scale Two-Phase Phenomena Using Density Functional Hydrodynamics. Transport in Porous Media. 112(3). 577–607. 59 indexed citations

19.

Koroteev, Dmitry, O. Yu. Dinariev, Nikolay Evseev, et al.. (2014). Direct Hydrodynamic Simulation of Multiphase Flow in Porous Rock. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 55(4). 294–303. 53 indexed citations

20.

Znamenskaya, I. A., Dmitry Koroteev, & Н. А. Попов. (2005). A Nanosecond High-Current Discharge in a Supersonic Gas Flow. High Temperature. 43(6). 817–824. 7 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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