Elena Torfs

818 total citations
40 papers, 533 citations indexed

About

Elena Torfs is a scholar working on Pollution, Water Science and Technology and Biomedical Engineering. According to data from OpenAlex, Elena Torfs has authored 40 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pollution, 19 papers in Water Science and Technology and 7 papers in Biomedical Engineering. Recurrent topics in Elena Torfs's work include Wastewater Treatment and Nitrogen Removal (19 papers), Membrane Separation Technologies (12 papers) and Reservoir Engineering and Simulation Methods (5 papers). Elena Torfs is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (19 papers), Membrane Separation Technologies (12 papers) and Reservoir Engineering and Simulation Methods (5 papers). Elena Torfs collaborates with scholars based in Belgium, Canada and Sweden. Elena Torfs's co-authors include Ingmar Nopens, Peter A. Vanrolleghem, Raimund Bürger, Stefan Diehl, Bernard De Baets, Thomas Maere, Sina Borzooei, Joel J. Ducoste, F. Pierre and S. Diehl and has published in prestigious journals such as The Science of The Total Environment, Water Research and Chemical Engineering Journal.

In The Last Decade

Elena Torfs

38 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena Torfs Belgium 14 261 180 108 108 84 40 533
Hong Guo China 8 172 0.7× 50 0.3× 101 0.9× 105 1.0× 96 1.1× 42 502
Lisha Guo China 10 173 0.7× 255 1.4× 76 0.7× 30 0.3× 126 1.5× 29 474
Lorenza Meucci Italy 12 438 1.7× 169 0.9× 125 1.2× 106 1.0× 271 3.2× 18 736
Lili Yi China 13 108 0.4× 64 0.4× 49 0.5× 68 0.6× 137 1.6× 51 599
Óscar Pires Spain 10 120 0.5× 119 0.7× 97 0.9× 83 0.8× 43 0.5× 20 555
M. Vasudevan India 15 64 0.2× 104 0.6× 158 1.5× 43 0.4× 76 0.9× 76 668
M.A. Latifi France 15 206 0.8× 254 1.4× 49 0.5× 150 1.4× 98 1.2× 62 846
Shaobin Li China 15 92 0.4× 48 0.3× 109 1.0× 35 0.3× 77 0.9× 67 551
Lei Hu China 13 121 0.5× 58 0.3× 80 0.7× 69 0.6× 107 1.3× 53 630
Kamal Kishore Khatri India 8 132 0.5× 52 0.3× 62 0.6× 114 1.1× 84 1.0× 18 417

Countries citing papers authored by Elena Torfs

Since Specialization
Citations

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

Fields of papers citing papers by Elena Torfs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Torfs

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Torfs. A scholar is included among the top collaborators of Elena Torfs 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 Elena Torfs. Elena Torfs 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.
Torfs, Elena, et al.. (2025). Uncovering unknown dynamics in water resource recovery facilities with neural differential equations and Shapley value analysis. Journal of Water Process Engineering. 70. 106856–106856.
2.
3.
Verwaeren, Jan, et al.. (2024). Towards good modelling practice for parallel hybrid models for wastewater treatment processes. Water Science & Technology. 89(11). 2971–2990. 9 indexed citations
4.
Daneshgar, Saba, Youri Amerlinck, Attilio Di Nisio, et al.. (2024). An innovative model-based protocol for minimisation of greenhouse gas (GHG) emissions in WRRFs. Chemical Engineering Journal. 483. 148327–148327. 1 indexed citations
5.
Daneshgar, Saba, et al.. (2024). A dynamic compartmental model of a sequencing batch reactor (SBR) for biological phosphorus removal. Water Science & Technology. 90(2). 510–523. 2 indexed citations
6.
Vanoppen, Marjolein, et al.. (2023). A Hybrid Modelling Approach for Reverse Osmosis Processes Including Fouling. SSRN Electronic Journal. 1 indexed citations
7.
Schneider, Mariane Yvonne, Sina Borzooei, Andreas Froemelt, et al.. (2022). Hybrid modelling of water resource recovery facilities: status and opportunities. Water Science & Technology. 85(9). 2503–2524. 47 indexed citations
8.
Ribeiro, Thiago Bressani, Carlos Domingo‐Félez, Haoran Duan, et al.. (2022). Mainstream short-cut N removal modelling: current status and perspectives. Water Science & Technology. 85(9). 2539–2564. 8 indexed citations
9.
Torfs, Elena, Saba Daneshgar, John B. Copp, et al.. (2022). The transition of WRRF models to digital twin applications. Water Science & Technology. 85(10). 2840–2853. 32 indexed citations
10.
Torfs, Elena, et al.. (2022). In silico assessment of household level closed water cycles: Towards extreme decentralization. Environmental Science and Ecotechnology. 10. 100148–100148. 9 indexed citations
11.
Torfs, Elena, et al.. (2022). Hybrid differential equations: Integrating mechanistic and data-driven techniques for modelling of water systems. Water Research. 213. 118166–118166. 58 indexed citations
12.
13.
Gupta, Medhavi, Dang Ho, Domenico Santoro, et al.. (2018). Experimental assessment and validation of quantification methods for cellulose content in municipal wastewater and sludge. Environmental Science and Pollution Research. 25(17). 16743–16753. 38 indexed citations
14.
Torfs, Elena, et al.. (2017). Predicting the fate of micropollutants during wastewater treatment: Calibration and sensitivity analysis. The Science of The Total Environment. 601-602. 874–885. 11 indexed citations
15.
Torfs, Elena, Stefan Diehl, Raimund Bürger, et al.. (2016). On constitutive functions for hindered settling velocity in 1-D settler models: Selection of appropriate model structure. Water Research. 110. 38–47. 28 indexed citations
16.
Torfs, Elena, et al.. (2016). Dynamic modelling of solids in a full-scale activated sludge plant preceded by CEPT as a preliminary step for micropollutant removal modelling. Bioprocess and Biosystems Engineering. 40(4). 499–510. 8 indexed citations
17.
Torfs, Elena, et al.. (2015). Impact of the flocculation state on hindered and compression settling : experimental evidence and overview of available modelling frameworks. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
18.
Torfs, Elena, Mehul Vesvikar, & Ingmar Nopens. (2013). Improved predictions of effluent suspended solids in wastewater treatment plants by integration of a PBM with computational fluid dynamics. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
19.
Torfs, Elena, et al.. (2012). Towards mechanistic models for activated sludge flocculation under different conditions based on inverse problems. Water Science & Technology. 65(11). 1946–1953. 3 indexed citations
20.
Torfs, Elena, Abhishek Dutta, & Ingmar Nopens. (2010). Investigating kernel structures for shear and Ca-induced activated sludge aggregation using an inverse problem methodology. Ghent University Academic Bibliography (Ghent University). 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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