Darko Vrečko

1.3k total citations
46 papers, 1.0k citations indexed

About

Darko Vrečko is a scholar working on Pollution, Control and Systems Engineering and Water Science and Technology. According to data from OpenAlex, Darko Vrečko has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pollution, 17 papers in Control and Systems Engineering and 10 papers in Water Science and Technology. Recurrent topics in Darko Vrečko's work include Wastewater Treatment and Nitrogen Removal (24 papers), Advanced Control Systems Optimization (13 papers) and Membrane Separation Technologies (9 papers). Darko Vrečko is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (24 papers), Advanced Control Systems Optimization (13 papers) and Membrane Separation Technologies (9 papers). Darko Vrečko collaborates with scholars based in Slovenia, Sweden and Denmark. Darko Vrečko's co-authors include Nadja Hvala, Stanko Strmčnik, Krist V. Gernaey, Ulf Jeppsson, Christian Rosén, Marjeta Stražar, Đani Juričić, Ramón Vilanova, Montse Meneses and Olga Burica and has published in prestigious journals such as Water Research, Journal of Power Sources and Journal of Cleaner Production.

In The Last Decade

Darko Vrečko

44 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darko Vrečko Slovenia 18 556 421 360 218 119 46 1.0k
Qingqing Huang China 17 351 0.6× 256 0.6× 187 0.5× 94 0.4× 205 1.7× 83 1.3k
E. Ayesa Spain 19 578 1.0× 478 1.1× 160 0.4× 364 1.7× 21 0.2× 59 1.1k
Xu Gao China 19 206 0.4× 357 0.8× 125 0.3× 139 0.6× 134 1.1× 60 938
J. Ribes Spain 24 667 1.2× 816 1.9× 107 0.3× 432 2.0× 118 1.0× 53 1.5k
John B. Copp Canada 19 944 1.7× 769 1.8× 476 1.3× 447 2.1× 65 0.5× 42 1.6k
Nadja Hvala Slovenia 15 416 0.7× 304 0.7× 297 0.8× 124 0.6× 29 0.2× 42 694
M.A. Latifi France 15 254 0.5× 206 0.5× 266 0.7× 98 0.4× 37 0.3× 62 846
Norhaliza Abdul Wahab Malaysia 18 179 0.3× 321 0.8× 384 1.1× 106 0.5× 130 1.1× 118 1.0k
J. Alex Germany 15 770 1.4× 624 1.5× 425 1.2× 308 1.4× 56 0.5× 43 1.4k
M.N. Pons France 11 321 0.6× 300 0.7× 95 0.3× 132 0.6× 16 0.1× 16 653

Countries citing papers authored by Darko Vrečko

Since Specialization
Citations

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

Fields of papers citing papers by Darko Vrečko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darko Vrečko

This figure shows the co-authorship network connecting the top 25 collaborators of Darko Vrečko. A scholar is included among the top collaborators of Darko Vrečko 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 Darko Vrečko. Darko Vrečko 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.
Vrečko, Darko, Damir Vrančić, Gregor Dolanč, et al.. (2018). Feedforward-feedback control of a solid oxide fuel cell power system. International Journal of Hydrogen Energy. 43(12). 6352–6363. 32 indexed citations
2.
Vrečko, Darko, et al.. (2017). Online gas composition estimation in solid oxide fuel cell systems with anode off-gas recycle configuration. Journal of Power Sources. 343. 246–253. 11 indexed citations
3.
Hvala, Nadja, et al.. (2016). The Use of Dynamic Mathematical Models for Improving the Designs of Upgraded Wastewater Treatment Plants. Journal of Sustainable Development of Energy Water and Environment Systems. 5(1). 15–31. 22 indexed citations
4.
Flores‐Alsina, Xavier, Christian Kazadi Mbamba, Kimberly Solon, et al.. (2015). A plant-wide aqueous phase chemistry module describing pH variations and ion speciation/pairing in wastewater treatment process models. Water Research. 85. 255–265. 66 indexed citations
5.
6.
Jeppsson, Ulf, J. Alex, Damien J. Batstone, et al.. (2013). Benchmark simulation models, quo vadis?. Water Science & Technology. 68(1). 1–15. 55 indexed citations
7.
Kocijan, Juš, et al.. (2012). Multi-criteria analyses of wastewater treatment bio-processes under an uncertainty and a multiplicity of steady states. Water Research. 46(18). 6121–6131. 17 indexed citations
8.
Jeppsson, Ulf, J. Alex, Damien J. Batstone, et al.. (2011). Quo Vadis Benchmark Simulation Models. Ghent University Academic Bibliography (Ghent University). 493–505. 7 indexed citations
9.
Pregelj, Boštjan, et al.. (2011). Improving the operation of a fuel-cell power unit with supervision control – A simulation study. Journal of Power Sources. 196(22). 9419–9428. 13 indexed citations
10.
Gašperin, Matej, Darko Vrečko, & Đani Juričić. (2010). System identification of nonlinear dynamical models: Application to wastewater treatment plant. 695–700. 2 indexed citations
11.
Vrečko, Darko, et al.. (2008). An algorithm for calculating the optimal reference temperature in buildings. Energy and Buildings. 41(2). 182–189. 5 indexed citations
12.
Gibert, Karina, et al.. (2008). Automatic generation of conceptual descriptions of classifications in Environmental Domains. ScholarsArchive (Brigham Young University). 2 indexed citations
13.
Vrečko, Darko, et al.. (2007). Comparison of control strategies for nitrogen removal in an activated sludge process in terms of operating costs: A simulation study. Water Research. 41(9). 2004–2014. 153 indexed citations
14.
Hvala, Nadja, et al.. (2006). Modeling, Identification, and Validation of Models for Predictive Ammonia Control in a Wastewater Treatment Plant—A Case Study. ISA Transactions. 45(2). 159–174. 36 indexed citations
15.
Vrečko, Darko, Krist V. Gernaey, Christian Rosén, & Ulf Jeppsson. (2006). Benchmark Simulation Model No 2 in Matlab-Simulink: towards plant-wide WWTP control strategy evaluation. Water Science & Technology. 54(8). 65–72. 45 indexed citations
16.
Rosén, Christian, Darko Vrečko, Krist V. Gernaey, & Ulf Jeppsson. (2005). Implementing ADM1 for benchmark simulations in Matlab/Simulink. Lund University Publications (Lund University). 5 indexed citations
17.
Vrečko, Darko, et al.. (2005). mprovement of ammonia removal in activated sludge process with feedforward-feedback aeration controllers. Lund University Publications (Lund University). 14 indexed citations
18.
Vrečko, Darko, Nadja Hvala, & Bengt Carlsson. (2003). Feedforward-feedback control of an activated sludge process: a simulation study. Water Science & Technology. 47(12). 19–26. 43 indexed citations
19.
Vrečko, Darko, Damir Vrančić, Đani Juričić, & Stanko Strmčnik. (2001). A new modified Smith predictor: the concept, design and tuning. ISA Transactions. 40(2). 111–121. 32 indexed citations
20.
Vrančić, Damir, Darko Vrečko, Đani Juričić, & Stanko Strmčnik. (1999). Automatic tuning of the flexible Smith predictor controller. xvi. 3853–3857 vol.6. 6 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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