Maša Prodanović

5.1k citations
156 papers · 4.1k · 1 hit paper · h-index 35

Impact in

Papers in

Maša Prodanović

153 papers receiving 4.0k citations

Maša Prodanović's Hit Papers

PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media 2020 · 188 citations
1880+2+4Years since publication50100150

Peers

Maša Prodanović
Comparison fields: 5 of 104
  • Ocean Engineering 2.7k
  • Mechanics of Materials 1.9k
  • Environmental Engineering 797
  • Mechanical Engineering 1.6k
  • Computational Mechanics 696
Replace Wendong Wang with:
Wendong Wang China
Yongfei Yang China
Vahid Niasar United Kingdom
Morteza Dejam United States
Ann Muggeridge United Kingdom
John Killough United States
Qingyang Lin United Kingdom
Sen Wang China
Maša Prodanović relative to Wendong Wang China Wendong Wang's profile →
Citations per field
00.5×1.5×1.9×
Wendong Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Maša Prodanović, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maša Prodanović Line = papers co-authored together Maša Prodanović links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013217
2 2006188
3
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media
Hit paper breakdown →
2020188
4 2006155
5 2017144
6 2015140
7 2013140
8 2010121
9 2005120
10 2013112
11 2016105
12 201689
13 201178
14 201577
15 201476
16 201874
17 201172
18 201071
19 201964
20 201559

About Maša Prodanović

Maša Prodanović is a scholar working on Ocean Engineering, Mechanical Engineering, Mechanics of Materials, Environmental Engineering and Computational Mechanics, having authored 156 papers that have together received 4.1k indexed citations. Recurring topics across this work include Enhanced Oil Recovery Techniques (89 papers), Hydraulic Fracturing and Reservoir Analysis (67 papers), Hydrocarbon exploration and reservoir analysis (56 papers), Drilling and Well Engineering (30 papers), Lattice Boltzmann Simulation Studies (21 papers), Groundwater flow and contamination studies (19 papers), Seismic Imaging and Inversion Techniques (12 papers) and Methane Hydrates and Related Phenomena (11 papers). The work is most often cited by research in Ocean Engineering (2.7k citations), Mechanics of Materials (1.9k citations), Environmental Engineering (797 citations), Mechanical Engineering (1.6k citations) and Computational Mechanics (696 citations). Maša Prodanović has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ayaz Mehmani, Steven L. Bryant, Christopher J. Landry, R. S. Seright, W. Brent Lindquist, Keith P. Johnston, Chun Huh, Farzam Javadpour, Rahul Verma and Javier E. Santos. Their work appears in journals such as Transport in Porous Media, SPE Journal, Journal of Petroleum Science and Engineering, Advances in Water Resources and Water Resources Research.

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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