Maša Prodanović

5.0k total citations · 1 hit paper
151 papers, 3.9k citations indexed

About

Maša Prodanović is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Maša Prodanović has authored 151 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Ocean Engineering, 68 papers in Mechanical Engineering and 62 papers in Mechanics of Materials. Recurrent topics in Maša Prodanović's work include Enhanced Oil Recovery Techniques (86 papers), Hydraulic Fracturing and Reservoir Analysis (65 papers) and Hydrocarbon exploration and reservoir analysis (55 papers). Maša Prodanović is often cited by papers focused on Enhanced Oil Recovery Techniques (86 papers), Hydraulic Fracturing and Reservoir Analysis (65 papers) and Hydrocarbon exploration and reservoir analysis (55 papers). Maša Prodanović collaborates with scholars based in United States, China and Canada. Maša Prodanović's co-authors include Ayaz Mehmani, Steven L. Bryant, Christopher J. Landry, W. Brent Lindquist, R. S. Seright, Keith P. Johnston, Chun Huh, Farzam Javadpour, Rahul Verma and Javier E. Santos and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Maša Prodanović

149 papers receiving 3.8k citations

Hit Papers

align trajectories sort by overperformance

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.

PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media

2020 178 citations Javier E. Santos, Honggeun Jo et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maša Prodanović	2.6k	1.9k	1.5k	773	678	151	3.9k
Wendong Wang	2.3k 0.9×	1.8k 1.0×	1.9k 1.3×	691 0.9×	351 0.5×	214	4.3k
Vahid Niasar	2.5k 0.9×	1.3k 0.7×	1.3k 0.9×	1.4k 1.8×	816 1.2×	120	3.9k
Matthew T. Balhoff	3.0k 1.1×	1.6k 0.9×	1.9k 1.2×	953 1.2×	643 0.9×	144	4.1k
Qingyang Lin	2.0k 0.8×	1.6k 0.9×	1.3k 0.9×	944 1.2×	267 0.4×	101	3.6k
Morteza Dejam	2.5k 1.0×	1.6k 0.8×	1.9k 1.2×	784 1.0×	397 0.6×	109	4.2k
Apostolos Kantzas	2.7k 1.0×	2.1k 1.1×	1.6k 1.0×	723 0.9×	559 0.8×	304	5.1k
Shouceng Tian	1.8k 0.7×	1.7k 0.9×	1.6k 1.0×	442 0.6×	367 0.5×	179	3.3k
Ann Muggeridge	1.8k 0.7×	1.1k 0.6×	1.1k 0.7×	733 0.9×	451 0.7×	156	3.3k
Ioannis Chatzis	3.7k 1.4×	2.1k 1.1×	1.9k 1.2×	1.3k 1.7×	466 0.7×	125	5.2k

Countries citing papers authored by Maša Prodanović

Since Specialization

Citations

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

Fields of papers citing papers by Maša Prodanović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maša Prodanović

This figure shows the co-authorship network connecting the top 25 collaborators of Maša Prodanović. A scholar is included among the top collaborators of Maša Prodanović 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 Maša Prodanović. Maša Prodanović 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

Jo, Honggeun, et al.. (2025). Minimum acceptance criteria for subsurface scenario-based uncertainty models from single image generative adversarial networks (SinGAN). Computational Geosciences. 29(1). 2 indexed citations

Radhakrishnan, Anuradha, et al.. (2024). CO2 foam rheology in rough shale and sandstone fractures at elevated temperatures. Fuel. 366. 131373–131373. 2 indexed citations

Aryana, Saman A., Anthony R. Kovscek, Maša Prodanović, et al.. (2024). International Symposium on Wettability and Porous Media – Past, Present, and the Future. SHILAP Revista de lepidopterología. 1(2). ipj240824–3.

Santos, Javier E., et al.. (2023). Mitigation of spatial nonstationarity with vision transformers. Computers & Geosciences. 178. 105412–105412. 5 indexed citations

Prodanović, Maša, María Esteva, James E. McClure, et al.. (2023). Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and community. SHILAP Revista de lepidopterología. 367. 1010–1010. 4 indexed citations

Santos, Javier E., et al.. (2022). MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX. 18. 101097–101097. 23 indexed citations

Song, Wenhui, Maša Prodanović, Javier E. Santos, et al.. (2022). Upscaling of Transport Properties in Complex Hydraulic Fracture Systems. SPE Journal. 28(3). 1026–1044. 8 indexed citations

Daigle, Hugh, et al.. (2021). MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning. arXiv (Cornell University). 41 indexed citations

Santos, Javier E., Duo Xu, Maša Prodanović, & Michael J. Pyrcz. (2020). Characterizing effective flow units in a multiscale porous medium. 2 indexed citations

10.

Friis, Helmer André, et al.. (2019). Pore-Scale Level Set Simulations of Capillary-Controlled Displacement with Adaptive Mesh Refinement. Transport in Porous Media. 128(1). 123–151. 12 indexed citations

11.

Mehmani, Ayaz, K.L. Milliken, & Maša Prodanović. (2018). Predicting flow properties in diagenetically-altered media with multi-scale process-based modeling: A Wilcox Formation case study. Marine and Petroleum Geology. 100. 179–194. 13 indexed citations

12.

Prodanović, Maša, et al.. (2017). A Three-Dimensional Pore-Scale Model for Non-Wetting Phase Mobilization with Ferrofluid. AGUFM. 2017. 2 indexed citations

13.

Prodanović, Maša, et al.. (2016). Niobrara formation fracture. 5 indexed citations

14.

Qajar, Ali, Hugh Daigle, & Maša Prodanović. (2015). Methane dual-site adsorption in organic-rich shale-gas and coalbed systems. International Journal of Coal Geology. 149. 1–8. 29 indexed citations

15.

Prodanović, Maša, et al.. (2015). Partially Cemented Tight Sandstone Fracture. 5 indexed citations

16.

Xue, Zheng, Andrew J. Worthen, Ali Qajar, et al.. (2015). Viscosity and stability of ultra-high internal phase CO2-in-water foams stabilized with surfactants and nanoparticles with or without polyelectrolytes. Journal of Colloid and Interface Science. 461. 383–395. 134 indexed citations

17.

Qajar, Ali, Hugh Daigle, & Maša Prodanović. (2015). The effects of pore geometry on adsorption equilibrium in shale formations and coal-beds: Lattice density functional theory study. Fuel. 163. 205–213. 29 indexed citations

18.

Prodanović, Maša, et al.. (2015). Digital Rocks Portal: a sustainable platform for imaged dataset sharing, translation and automated analysis. AGU Fall Meeting Abstracts. 2015. 5 indexed citations

19.

Hesse, Marc A., et al.. (2015). Hysteresis in Melt Network Topology Allows Core Formation by Porous Flow. LPI. 2015(1903). 2664. 1 indexed citations

20.

Olson, Jon E., et al.. (2014). Using the Semi-Circular Bending Test to Investigate the Interaction Between Hydraulic and Natural Fractures. AGUFM. 2014. 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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