Gergő Ignácz

769 total citations
18 papers, 566 citations indexed

About

Gergő Ignácz is a scholar working on Water Science and Technology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Gergő Ignácz has authored 18 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 10 papers in Biomedical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Gergő Ignácz's work include Membrane Separation Technologies (11 papers), Fuel Cells and Related Materials (7 papers) and Membrane-based Ion Separation Techniques (6 papers). Gergő Ignácz is often cited by papers focused on Membrane Separation Technologies (11 papers), Fuel Cells and Related Materials (7 papers) and Membrane-based Ion Separation Techniques (6 papers). Gergő Ignácz collaborates with scholars based in Saudi Arabia, Hungary and United Kingdom. Gergő Ignácz's co-authors include György Székely, Sushil Kumar, Young Moo Lee, Jeong F. Kim, Péter Pogány, Dan Zhao, Fan Fei, Yang Cong, Maria Di Vincenzo and Mohamed Nejib Hedhili and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Gergő Ignácz

17 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gergő Ignácz Saudi Arabia 12 295 245 170 162 138 18 566
Yunlong Zhong China 9 271 0.9× 189 0.8× 217 1.3× 215 1.3× 153 1.1× 28 563
Abdulaziz Alammar United Kingdom 7 309 1.0× 211 0.9× 122 0.7× 134 0.8× 111 0.8× 9 574
Hooman Chamani Canada 13 348 1.2× 195 0.8× 98 0.6× 75 0.5× 116 0.8× 20 521
Shuangjie Yuan China 6 249 0.8× 167 0.7× 547 3.2× 279 1.7× 195 1.4× 11 778
Javier Fontalvo Colombia 15 158 0.5× 241 1.0× 343 2.0× 105 0.6× 59 0.4× 52 602
Shuangyan Jiang China 11 148 0.5× 89 0.4× 81 0.5× 157 1.0× 79 0.6× 26 469
Sergey Ermakov Russia 21 480 1.6× 285 1.2× 458 2.7× 171 1.1× 229 1.7× 49 893
Hossein Monfared Iran 10 676 2.3× 442 1.8× 228 1.3× 171 1.1× 203 1.5× 15 910
Mona Bavarian United States 13 146 0.5× 153 0.6× 66 0.4× 183 1.1× 172 1.2× 32 463

Countries citing papers authored by Gergő Ignácz

Since Specialization
Citations

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

Fields of papers citing papers by Gergő Ignácz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergő Ignácz

This figure shows the co-authorship network connecting the top 25 collaborators of Gergő Ignácz. A scholar is included among the top collaborators of Gergő Ignácz 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 Gergő Ignácz. Gergő Ignácz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Ignácz, Gergő, Muhammad Irshad Baig, Karuppasamy Gopalsamy, et al.. (2025). A data-driven approach to interfacial polymerization exploiting machine learning for predicting thin-film composite membrane formation. Materials Horizons. 12(21). 9009–9025.
2.
Ignácz, Gergő, et al.. (2025). Virtual enumeration and evaluation of thin-film monomers for potential membrane synthesis via interfacial polymerization. Journal of Membrane Science. 733. 124234–124234. 4 indexed citations
3.
Martínez, K., Rifan Hardian, Gergő Ignácz, & György Székely. (2025). Automating the determination of pore size distribution in liquid separation membranes via solute retention experiments. Journal of Membrane Science. 726. 124015–124015. 3 indexed citations
4.
Ignácz, Gergő, et al.. (2024). Machine learning for the advancement of membrane science and technology: A critical review. Journal of Membrane Science. 713. 123256–123256. 34 indexed citations
5.
Ignácz, Gergő, et al.. (2024). Universal solution to the membrane selectivity challenge: Separation merit and efficiency. SHILAP Revista de lepidopterología. 4. 100103–100103. 5 indexed citations
6.
Ignácz, Gergő, et al.. (2024). Ultraselective Macrocycle Membranes for Pharmaceutical Ingredients Separation in Organic Solvents. Nature Communications. 15(1). 7151–7151. 29 indexed citations
7.
Ignácz, Gergő, et al.. (2024). A hybrid modelling approach to compare chemical separation technologies in terms of energy consumption and carbon dioxide emissions. Nature Energy. 10(3). 308–317. 25 indexed citations
8.
Ignácz, Gergő, et al.. (2023). Explainable machine learning for unraveling solvent effects in polyimide organic solvent nanofiltration membranes. SHILAP Revista de lepidopterología. 3. 100061–100061. 45 indexed citations
9.
Ignácz, Gergő, et al.. (2023). Data-driven investigation of process solvent and membrane material on organic solvent nanofiltration. Journal of Membrane Science. 674. 121519–121519. 17 indexed citations
10.
Ignácz, Gergő, et al.. (2023). Data-driven future for nanofiltration: Escaping linearity. SHILAP Revista de lepidopterología. 3(1). 100040–100040. 9 indexed citations
11.
Hu, Jiahui, Gergő Ignácz, Rifan Hardian, & György Székely. (2023). Triazinane-based thin-film composite membrane fabrication via heterocycle network formation from formaldehyde and amines for organic solvent nanofiltration. Journal of Membrane Science. 679. 121701–121701. 12 indexed citations
12.
Overmans, Sebastian, Gergő Ignácz, Jiajie Xu, et al.. (2022). Continuous extraction and concentration of secreted metabolites from engineered microbes using membrane technology. Green Chemistry. 24(14). 5479–5489. 23 indexed citations
13.
Ignácz, Gergő & György Székely. (2022). Deep learning meets quantitative structure–activity relationship (QSAR) for leveraging structure-based prediction of solute rejection in organic solvent nanofiltration. Journal of Membrane Science. 646. 120268–120268. 77 indexed citations
14.
Kumar, Sushil, Gergő Ignácz, & György Székely. (2021). Synthesis of covalent organic frameworks using sustainable solvents and machine learning. Green Chemistry. 23(22). 8932–8939. 80 indexed citations
15.
Ignácz, Gergő, Yang Cong, & György Székely. (2021). Diversity matters: Widening the chemical space in organic solvent nanofiltration. Journal of Membrane Science. 641. 119929–119929. 23 indexed citations
16.
Zhao, Dan, Jeong F. Kim, Gergő Ignácz, et al.. (2019). Bio-Inspired Robust Membranes Nanoengineered from Interpenetrating Polymer Networks of Polybenzimidazole/Polydopamine. ACS Nano. 13(1). 125–133. 121 indexed citations
17.
Ignácz, Gergő, Zoltán Béni, József Kupai, et al.. (2018). Biomimetic Synthesis of Drug Metabolites in Batch and Continuous‐Flow Reactors. Chemistry - A European Journal. 24(37). 9385–9392. 10 indexed citations
18.
Ignácz, Gergő, Fan Fei, & György Székely. (2018). Ion-Stabilized Membranes for Demanding Environments Fabricated from Polybenzimidazole and Its Blends with Polymers of Intrinsic Microporosity. ACS Applied Nano Materials. 1(11). 6349–6356. 49 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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