Dubravka Pokrajac

3.1k total citations
82 papers, 2.5k citations indexed

About

Dubravka Pokrajac is a scholar working on Computational Mechanics, Environmental Engineering and Earth-Surface Processes. According to data from OpenAlex, Dubravka Pokrajac has authored 82 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Mechanics, 23 papers in Environmental Engineering and 19 papers in Earth-Surface Processes. Recurrent topics in Dubravka Pokrajac's work include Fluid Dynamics and Turbulent Flows (22 papers), Coastal and Marine Dynamics (17 papers) and Hydrology and Sediment Transport Processes (15 papers). Dubravka Pokrajac is often cited by papers focused on Fluid Dynamics and Turbulent Flows (22 papers), Coastal and Marine Dynamics (17 papers) and Hydrology and Sediment Transport Processes (15 papers). Dubravka Pokrajac collaborates with scholars based in United Kingdom, Hong Kong and Italy. Dubravka Pokrajac's co-authors include Ian McEwan, Vladimir Nikora, Costantino Manes, Tom O’Donoghue, Stephen E. Coleman, S. R. McLean, Gustaaf Kikkert, Roy A. Walters, Nicholas Dodd and Yingfang Zhou and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Fluid Mechanics and Geophysical Research Letters.

In The Last Decade

Dubravka Pokrajac

79 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dubravka Pokrajac United Kingdom 29 1.0k 933 728 560 405 82 2.5k
É. Lajeunesse France 28 1.1k 1.0× 995 1.1× 547 0.8× 345 0.6× 122 0.3× 68 2.7k
Andrew J. Hogg United Kingdom 32 651 0.6× 940 1.0× 1.1k 1.5× 372 0.7× 216 0.5× 120 2.9k
Nian‐Sheng Cheng Singapore 31 2.4k 2.3× 1.0k 1.1× 903 1.2× 1.3k 2.3× 316 0.8× 135 4.5k
Zhiguo He China 24 691 0.7× 205 0.2× 559 0.8× 414 0.7× 164 0.4× 153 2.2k
R. A. Wooding Australia 21 379 0.4× 868 0.9× 243 0.3× 894 1.6× 1.2k 3.0× 41 3.4k
Guoqiang Tang China 35 302 0.3× 858 0.9× 195 0.3× 247 0.4× 299 0.7× 140 5.3k
Qin Chen United States 33 1.4k 1.4× 376 0.4× 2.8k 3.9× 383 0.7× 135 0.3× 159 4.1k
Mark A. Hallworth United Kingdom 24 291 0.3× 667 0.7× 788 1.1× 141 0.3× 609 1.5× 33 2.5k
A.G. Davies United Kingdom 31 1.6k 1.6× 207 0.2× 2.3k 3.2× 132 0.2× 115 0.3× 99 3.4k
Chiu‐On Ng Hong Kong 33 236 0.2× 1.7k 1.8× 438 0.6× 219 0.4× 219 0.5× 146 3.3k

Countries citing papers authored by Dubravka Pokrajac

Since Specialization
Citations

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

Fields of papers citing papers by Dubravka Pokrajac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dubravka Pokrajac

This figure shows the co-authorship network connecting the top 25 collaborators of Dubravka Pokrajac. A scholar is included among the top collaborators of Dubravka Pokrajac 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 Dubravka Pokrajac. Dubravka Pokrajac 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.
Yang, Yi, Yuan Tian, Rui Li, et al.. (2025). Pore-scale analysis of nanoparticle diffusion in brain tumours. International Journal of Engineering Science. 216. 104337–104337. 1 indexed citations
2.
Yang, Yi, Yuan Tian, Rui Li, et al.. (2024). Exploring tissue permeability of brain tumours in different grades: Insights from pore-scale fluid dynamics analysis. Acta Biomaterialia. 190. 398–409. 5 indexed citations
3.
Pokrajac, Dubravka. (2023). General shallow water equations (GSWEs). Journal of Hydraulic Research. 61(3). 303–321.
4.
Pokrajac, Dubravka, et al.. (2021). Parameterization and Results of SWE for Gravity Currents Are Sensitive to the Definition of Depth. Journal of Hydraulic Engineering. 147(5). 1 indexed citations
5.
Pokrajac, Dubravka, et al.. (2020). Automated extraction of in situ contact angles from micro-computed tomography images of porous media. Computers & Geosciences. 137. 104425–104425. 19 indexed citations
6.
Pokrajac, Dubravka, et al.. (2019). Continuously-fed gravity currents propagating over a finite porous substrate. Physics of Fluids. 31(12). 18 indexed citations
7.
Ballio, Francesco, et al.. (2018). Lagrangian and Eulerian Description of Bed Load Transport. Journal of Geophysical Research Earth Surface. 123(2). 384–408. 36 indexed citations
8.
Leonardi, Alessandro, et al.. (2018). Surface and subsurface contributions to the build-up of forces on bed particles. Journal of Fluid Mechanics. 851. 558–572. 14 indexed citations
9.
Pokrajac, Dubravka, et al.. (2017). Computation of fluid flow and pore-space properties estimation on micro-CT images of rock samples. Computers & Geosciences. 106. 118–129. 47 indexed citations
10.
Seddighi, Mehdi, et al.. (2015). Turbulence in a transient channel flow with a wall of pyramid roughness. Journal of Fluid Mechanics. 781. 226–260. 18 indexed citations
11.
Nikora, Vladimir, Francesco Ballio, Stephen E. Coleman, & Dubravka Pokrajac. (2013). Spatially Averaged Flows over Mobile Rough Beds: Definitions, Averaging Theorems, and Conservation Equations. Journal of Hydraulic Engineering. 139(8). 803–811. 53 indexed citations
12.
Kikkert, Gustaaf, et al.. (2013). Experimental study of bore-driven swash hydrodynamics on permeable rough slopes. Coastal Engineering. 79. 42–56. 44 indexed citations
13.
Pokrajac, Dubravka, et al.. (2012). THE EFFECT OF BED PERMEABILITY ON OSCILLATORY BOUNDARY LAYER FLOW. Coastal Engineering Proceedings. 26–26. 4 indexed citations
14.
Pokrajac, Dubravka, et al.. (2012). Numerical model of swash motion and air entrapment within coarse-grained beaches. Coastal Engineering. 64. 113–126. 18 indexed citations
15.
Briganti, Riccardo, Nicholas Dodd, Dubravka Pokrajac, & Tom O’Donoghue. (2011). Non linear shallow water modelling of bore-driven swash: Description of the bottom boundary layer. Coastal Engineering. 58(6). 463–477. 40 indexed citations
16.
Nikora, Vladimir, S. R. McLean, Stephen E. Coleman, et al.. (2007). Double-Averaging Concept for Rough-Bed Open-Channel and Overland Flows: Applications. Journal of Hydraulic Engineering. 133(8). 884–895. 137 indexed citations
17.
O’Donoghue, Tom, et al.. (2007). BORE-DRIVEN SWASH ON BEACHES: NUMERICAL MODELING AND LARGE-SCALE LABORATORY EXPERIMENTS. 922–933. 3 indexed citations
18.
Pokrajac, Dubravka, et al.. (2006). UGROW: A Software Tool for Integrated Urban Water Management. 485. 2 indexed citations
19.
Pokrajac, Dubravka. (2002). Numerical study of the drainage system at a fly ash landfill. Computers and Geotechnics. 29(1). 29–48. 2 indexed citations
20.
Pokrajac, Dubravka. (1988). A numerical model of a saturated-unsaturated porous flow system. Water Resources Management. 2(3). 183–190. 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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