Matthew E. Suss

8.1k total citations · 5 hit papers
85 papers, 6.8k citations indexed

About

Matthew E. Suss is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Water Science and Technology. According to data from OpenAlex, Matthew E. Suss has authored 85 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 59 papers in Biomedical Engineering and 33 papers in Water Science and Technology. Recurrent topics in Matthew E. Suss's work include Membrane-based Ion Separation Techniques (52 papers), Membrane Separation Technologies (33 papers) and Advanced battery technologies research (32 papers). Matthew E. Suss is often cited by papers focused on Membrane-based Ion Separation Techniques (52 papers), Membrane Separation Technologies (33 papers) and Advanced battery technologies research (32 papers). Matthew E. Suss collaborates with scholars based in Israel, United States and Netherlands. Matthew E. Suss's co-authors include P. M. Biesheuvel, Volker Presser, Jeyong Yoon, S. Porada, Xueliang Sun, Michael Stadermann, Juan G. Santiago, Theodore F. Baumann, Klint A. Rose and Amit N. Shocron and has published in prestigious journals such as Chemical Reviews, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Matthew E. Suss

82 papers receiving 6.7k citations

Hit Papers

Water desalination via capacitive deionization: what is i... 2011 2026 2016 2021 2015 2011 2016 2021 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew E. Suss Israel 32 5.2k 4.0k 3.7k 1.3k 920 85 6.8k
S. Porada Netherlands 34 7.5k 1.5× 5.4k 1.3× 5.9k 1.6× 1.1k 0.8× 397 0.4× 49 8.3k
Abraham Soffer Israel 35 2.2k 0.4× 2.5k 0.6× 1.6k 0.4× 1.5k 1.1× 721 0.8× 69 4.3k
Qiang Dong China 42 1.9k 0.4× 2.9k 0.7× 1.3k 0.4× 1.5k 1.1× 2.1k 2.3× 136 5.4k
Zhuo Sun China 56 3.6k 0.7× 5.7k 1.4× 2.3k 0.6× 2.3k 1.8× 4.1k 4.5× 194 9.9k
Yanying Wei China 42 2.5k 0.5× 2.3k 0.6× 2.5k 0.7× 718 0.5× 6.1k 6.6× 120 8.3k
A. B. Yaroslavtsev Russia 37 1.9k 0.4× 3.7k 0.9× 666 0.2× 369 0.3× 1.2k 1.3× 281 5.0k
Ke Zhou China 42 1.1k 0.2× 2.8k 0.7× 722 0.2× 752 0.6× 2.0k 2.2× 166 5.4k
Yanbai Shen China 47 3.3k 0.6× 5.4k 1.3× 757 0.2× 378 0.3× 2.6k 2.8× 200 7.0k
Jianqiang Wang China 39 2.2k 0.4× 1.2k 0.3× 2.7k 0.7× 264 0.2× 1.2k 1.3× 135 4.9k
Cheng Zhan China 31 1.2k 0.2× 2.8k 0.7× 488 0.1× 2.0k 1.5× 1.7k 1.9× 91 4.9k

Countries citing papers authored by Matthew E. Suss

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Suss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Suss. 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 Matthew E. Suss. The network helps show where Matthew E. Suss may publish in the future.

Co-authorship network of co-authors of Matthew E. Suss

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew E. Suss. A scholar is included among the top collaborators of Matthew E. Suss 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 Matthew E. Suss. Matthew E. Suss 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.
Mathur, Ankita, et al.. (2025). Phosphorylated carbon cathodes achieve perfect monovalent cation selectivity in capacitive deionization. Journal of Materials Chemistry A. 13(43). 37063–37071.
2.
Shocron, Amit N., et al.. (2024). Understanding degradation of capacitive deionization cells: Full–cell simulations with anode corrosion. Desalination. 587. 117924–117924. 2 indexed citations
3.
Rewatkar, Prakash, et al.. (2024). The impact of flow on electrolyte resistance in single-flow batteries. Journal of Power Sources. 610. 234687–234687. 1 indexed citations
4.
Rewatkar, Prakash, et al.. (2024). Improved coulombic efficiency of single-flow, multiphase flow batteries via the use of strong-binding complexing agents. Energy Advances. 3(3). 592–600. 1 indexed citations
5.
Wang, Lei, et al.. (2024). Continuous Lithium‐Ion Extraction From Seawater and Mine Water With a Fuel Cell System and Ceramic Membranes. Energy & environment materials. 7(6). 3 indexed citations
6.
Shocron, Amit N., et al.. (2023). Order-of-magnitude enhancement in boron removal by membrane-free capacitive deionization. Chemical Engineering Journal. 466. 142722–142722. 18 indexed citations
7.
Shocron, Amit N., et al.. (2023). Extreme Monovalent Ion Selectivity Via Capacitive Ion Exchange. Water Research. 246. 120684–120684. 13 indexed citations
8.
Amini, Kiana, Amit N. Shocron, Matthew E. Suss, & Michael J. Aziz. (2023). Pathways to High-Power-Density Redox Flow Batteries. ACS Energy Letters. 8(8). 3526–3535. 36 indexed citations
9.
Shocron, Amit N., et al.. (2022). Comparison of Ion Selectivity in Electrodialysis and Capacitive Deionization. Environmental Science & Technology Letters. 9(11). 889–899. 46 indexed citations
10.
Shocron, Amit N., Eric N. Guyes, Jouke E. Dykstra, & Matthew E. Suss. (2022). Analysis of Boron Removal By Capacitive Deionization. ECS Meeting Abstracts. MA2022-02(27). 1049–1049. 1 indexed citations
11.
Wu, Jiao, et al.. (2022). Spatial variations of pH in electrodialysis stacks: Theory. Electrochimica Acta. 413. 140151–140151. 13 indexed citations
12.
Guyes, Eric N., et al.. (2021). Long-lasting, monovalent-selective capacitive deionization electrodes. npj Clean Water. 4(1). 56 indexed citations
13.
Gamaethiralalage, Jayaruwan Gunathilake, Kaustub Singh, Sevil Sahin, et al.. (2021). Recent advances in ion selectivity with capacitive deionization. Energy & Environmental Science. 14(3). 1095–1120. 383 indexed citations breakdown →
14.
Shocron, Amit N. & Matthew E. Suss. (2020). Should we pose a closure problem for capacitive charging of porous electrodes?. Europhysics Letters (EPL). 130(3). 34003–34003. 5 indexed citations
15.
Suss, Matthew E., et al.. (2020). Thermodynamic Energy Efficiency of Electrochemical Systems Performing Simultaneous Water Desalination and Electricity Generation. Journal of The Electrochemical Society. 167(13). 134517–134517. 18 indexed citations
16.
Guyes, Eric N., et al.. (2020). Characterizing and mitigating the degradation of oxidized cathodes during capacitive deionization cycling. Carbon. 173. 1105–1114. 30 indexed citations
17.
Guyes, Eric N., et al.. (2019). Enhancing the Ion-Size-Based Selectivity of Capacitive Deionization Electrodes. Environmental Science & Technology. 53(14). 8447–8454. 83 indexed citations
18.
Ratajczak, Paula, Matthew E. Suss, Friedrich Kaasik, & François Béguin. (2018). Carbon electrodes for capacitive technologies. Energy storage materials. 16. 126–145. 258 indexed citations
19.
Hawks, Steven A., Ashwin Ramachandran, S. Porada, et al.. (2018). Performance metrics for the objective assessment of capacitive deionization systems. Water Research. 152. 126–137. 235 indexed citations
20.

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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