Mathias Ulbricht

20.0k total citations · 3 hit papers
410 papers, 16.4k citations indexed

About

Mathias Ulbricht is a scholar working on Water Science and Technology, Biomedical Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Mathias Ulbricht has authored 410 papers receiving a total of 16.4k indexed citations (citations by other indexed papers that have themselves been cited), including 211 papers in Water Science and Technology, 201 papers in Biomedical Engineering and 108 papers in Surfaces, Coatings and Films. Recurrent topics in Mathias Ulbricht's work include Membrane Separation Technologies (192 papers), Polymer Surface Interaction Studies (81 papers) and Membrane-based Ion Separation Techniques (63 papers). Mathias Ulbricht is often cited by papers focused on Membrane Separation Technologies (192 papers), Polymer Surface Interaction Studies (81 papers) and Membrane-based Ion Separation Techniques (63 papers). Mathias Ulbricht collaborates with scholars based in Germany, China and United States. Mathias Ulbricht's co-authors include Heru Susanto, Georges Belfort, Qian Yang, Mahendra Kumar, Hans‐Georg Hicke, Nadia Adrus, Heike Matuschewski, Ahmed S.G. Khalil, Alexandra Wittmar and Sergey A. Piletsky and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Mathias Ulbricht

400 papers receiving 16.1k citations

Hit Papers

Advanced functional polym... 2006 2026 2012 2019 2006 2019 2008 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mathias Ulbricht 8.3k 7.8k 3.6k 3.4k 3.0k 410 16.4k
Vicki Chen 9.8k 1.2× 7.6k 1.0× 1.6k 0.4× 4.4k 1.3× 4.5k 1.5× 227 17.9k
Dipak Rana 7.4k 0.9× 7.9k 1.0× 1.4k 0.4× 3.5k 1.0× 2.9k 1.0× 297 16.6k
Zhi‐Kang Xu 9.8k 1.2× 10.5k 1.3× 7.5k 2.1× 5.7k 1.7× 4.1k 1.3× 481 25.1k
Hideto Matsuyama 12.0k 1.5× 10.5k 1.3× 2.6k 0.7× 5.1k 1.5× 7.6k 2.5× 696 20.7k
Yanlei Su 10.5k 1.3× 7.9k 1.0× 3.9k 1.1× 2.9k 0.9× 3.3k 1.1× 163 14.6k
Yatao Zhang 8.9k 1.1× 6.7k 0.9× 1.0k 0.3× 2.9k 0.8× 5.7k 1.9× 310 16.5k
Eric M.V. Hoek 12.5k 1.5× 13.5k 1.7× 1.5k 0.4× 4.4k 1.3× 3.6k 1.2× 130 24.9k
Geoffrey W. Stevens 3.6k 0.4× 6.5k 0.8× 727 0.2× 2.1k 0.6× 7.1k 2.3× 474 16.3k
Jingwei Hou 4.1k 0.5× 3.7k 0.5× 1.1k 0.3× 2.7k 0.8× 3.2k 1.1× 199 11.4k
Junping Zhang 1.8k 0.2× 5.3k 0.7× 6.1k 1.7× 2.6k 0.8× 1.1k 0.4× 351 16.7k

Countries citing papers authored by Mathias Ulbricht

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Ulbricht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Ulbricht

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Ulbricht. A scholar is included among the top collaborators of Mathias Ulbricht 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 Mathias Ulbricht. Mathias Ulbricht 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
2.
Razavi, Reza Shoja, Alireza Shakeri, Hassan Salehi, et al.. (2025). Mitigating internal concentration polarization in forward osmosis membranes via PSf-g-PHEMA amphiphilic graft copolymer-modified sublayer. Journal of Membrane Science. 740. 124917–124917.
3.
Ulbricht, Mathias, et al.. (2024). All-in-one fabrication of bimetallic PdIn-decorated porous PES membranes for the catalytic flow-through reduction of NO3− to NH3 with formic acid in water. Chemical Engineering Journal Advances. 20. 100683–100683. 3 indexed citations
5.
Zheng, Libing, et al.. (2024). Contrasting mixed scaling patterns and mechanisms of nanofiltration and membrane distillation. Water Research. 258. 121671–121671. 9 indexed citations
6.
Jaber, Lubna, Yehia Manawi, Abdallah Shanableh, et al.. (2024). Successful preparation of CeO2-modified 2D boron nitride for enhanced dye and humic acid separation with ultrafiltration membranes. Journal of Water Process Engineering. 68. 106464–106464. 5 indexed citations
7.
Ulbricht, Mathias, et al.. (2024). A Robust High-Pressure RO Technology to Overcome the Barriers to Full Circularity in Cr(III) Electroplating Operations. ACS ES&T Water. 4(12). 5461–5472. 6 indexed citations
8.
Ulbricht, Mathias, et al.. (2023). Cellulose-cellulose composite membranes for ultrafiltration. Journal of Membrane Science. 672. 121426–121426. 27 indexed citations
9.
Hagemann, Ulrich, et al.. (2023). Polymeric multi-composites with a tailored nickel microenvironment as catalytic flow-through membrane reactors for efficient p-nitrophenol degradation. Chemical Engineering Journal. 463. 142437–142437. 20 indexed citations
10.
Ma, Baiwen, et al.. (2023). Simultaneous removal of natural organic matters and copper (II) with ultrafiltration for drinking water treatment. Journal of Membrane Science. 671. 121408–121408. 27 indexed citations
11.
Ren, Zhijun, Siyang Wang, Qiuwen Wang, et al.. (2023). Moderate KMnO4/Fe(II) pre-oxidation for membrane fouling mitigation in algae-laden water treatment. Separation and Purification Technology. 314. 123612–123612. 15 indexed citations
12.
ElSherbiny, Ibrahim M. A., et al.. (2023). Superior separation of industrial oil-in-water emulsions utilizing surface patterned isotropic PES membranes. Separation and Purification Technology. 311. 123286–123286. 12 indexed citations
13.
Sun, Jingqiu, Ben Zhang, Boyang Yu, et al.. (2023). Maintaining Antibacterial Activity against Biofouling Using a Quaternary Ammonium Membrane Coupling with Electrorepulsion. Environmental Science & Technology. 57(3). 1520–1528. 20 indexed citations
14.
Zhang, Junya, Baiwen Ma, Chengzhi Hu, et al.. (2023). Water Safety Consideration of the Dual Nature of Virus in Global Urban Water Cycle: From Source to Reuse. ACS ES&T Water. 3(8). 1980–1983. 1 indexed citations
15.
Stolov, Mikhail, et al.. (2022). Elucidating ion transport mechanism in polyelectrolyte-complex membranes. Journal of Membrane Science. 658. 120757–120757. 10 indexed citations
16.
Ulbricht, Mathias, et al.. (2021). A mixed-charge polyelectrolyte complex nanofiltration membrane: Preparation, performance and stability. Journal of Membrane Science. 636. 119579–119579. 22 indexed citations
17.
Wu, Siqi, Xin Hua, Baiwen Ma, et al.. (2021). Three-Dimensional Analysis of the Natural-Organic-Matter Distribution in the Cake Layer to Precisely Reveal Ultrafiltration Fouling Mechanisms. Environmental Science & Technology. 55(8). 5442–5452. 62 indexed citations
18.
Elnabawy, Eman, Ibrahim M. A. ElSherbiny, Badawi Anis, et al.. (2020). Tailored CNTs Buckypaper Membranes for the Removal of Humic Acid and Separation of Oil-In-Water Emulsions. Membranes. 10(5). 97–97. 18 indexed citations
20.
Duong, Phuoc H. H., et al.. (2018). Interfacial Polymerization of Zwitterionic Building Blocks for High-Flux Nanofiltration Membranes. Langmuir. 35(5). 1284–1293. 78 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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