Sergei Manzhos

8.4k total citations
250 papers, 6.8k citations indexed

About

Sergei Manzhos is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Sergei Manzhos has authored 250 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Electrical and Electronic Engineering, 100 papers in Materials Chemistry and 60 papers in Polymers and Plastics. Recurrent topics in Sergei Manzhos's work include Organic Electronics and Photovoltaics (50 papers), Advancements in Battery Materials (47 papers) and Conducting polymers and applications (47 papers). Sergei Manzhos is often cited by papers focused on Organic Electronics and Photovoltaics (50 papers), Advancements in Battery Materials (47 papers) and Conducting polymers and applications (47 papers). Sergei Manzhos collaborates with scholars based in Singapore, Japan and Canada. Sergei Manzhos's co-authors include Tucker Carrington, Prashant Sonar, Oleksandr I. Malyi, Koichi Yamashita, Fleur Legrain, Daniel Koch, Hong Duc Pham, Vadym V. Kulish, Yingqian Chen and Krishna Feron and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Sergei Manzhos

242 papers receiving 6.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergei Manzhos Singapore 45 3.5k 2.9k 1.6k 1.6k 703 250 6.8k
Woo Youn Kim South Korea 32 1.7k 0.5× 2.4k 0.8× 373 0.2× 1.3k 0.8× 199 0.3× 83 4.9k
Koichi Yamashita Japan 47 4.1k 1.2× 4.5k 1.5× 977 0.6× 2.8k 1.8× 1000 1.4× 380 10.2k
Maxim V. Fedorov Russia 36 1.2k 0.3× 1.2k 0.4× 491 0.3× 1.2k 0.8× 352 0.5× 127 5.3k
Xuefeng Guo China 67 9.2k 2.6× 6.4k 2.2× 1.5k 0.9× 2.7k 1.8× 547 0.8× 312 14.1k
Jorge M. Seminario United States 48 4.5k 1.3× 3.2k 1.1× 320 0.2× 1.9k 1.2× 325 0.5× 231 8.5k
Denis Andrienko Germany 52 5.8k 1.6× 3.0k 1.0× 3.1k 1.9× 1.4k 0.9× 243 0.3× 176 8.9k
Alessandro Curioni Switzerland 37 2.8k 0.8× 2.5k 0.8× 467 0.3× 1.3k 0.8× 179 0.3× 95 5.8k
Alessandro Troisi United Kingdom 60 8.2k 2.3× 3.8k 1.3× 3.5k 2.2× 2.8k 1.8× 239 0.3× 208 11.6k
Masateru Taniguchi Japan 41 3.4k 1.0× 2.1k 0.7× 409 0.3× 1.2k 0.8× 181 0.3× 248 7.2k

Countries citing papers authored by Sergei Manzhos

Since Specialization
Citations

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

Fields of papers citing papers by Sergei Manzhos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergei Manzhos

This figure shows the co-authorship network connecting the top 25 collaborators of Sergei Manzhos. A scholar is included among the top collaborators of Sergei Manzhos 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 Sergei Manzhos. Sergei Manzhos 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
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2.
Manzhos, Sergei, et al.. (2025). On the Sufficiency of a Single Hidden Layer in Feed-Forward Neural Networks Used for Machine Learning of Materials Properties. SHILAP Revista de lepidopterología. 5(1). 4–4. 2 indexed citations
3.
5.
Kranthiraja, Kakaraparthi, Shohei Kumagai, Yanan Xu, et al.. (2024). Low Band Gap Furan‐Flanked Diketopyrrolopyrrole‐Naphthobisthiadiazole Based Conjugated Polymer/Stretchable Blend for Organic Field Effect Transistors. Advanced Electronic Materials. 11(6). 2 indexed citations
6.
Ito, Kazuma, et al.. (2024). Machine learning the screening factor in the soft bond valence approach for rapid crystal structure estimation. Digital Discovery. 3(10). 1967–1979. 4 indexed citations
7.
Lüder, Johann, Manabu Ihara, & Sergei Manzhos. (2024). A machine-learned kinetic energy model for light weight metals and compounds of group III-V elements. Electronic Structure. 6(4). 45002–45002. 4 indexed citations
8.
Selopal, Gurpreet Singh, Jasneet Kaur, Jiabin Liu, et al.. (2023). Surface engineering of two-dimensional hexagonal boron-nitride for optoelectronic devices. Nanoscale. 15(38). 15810–15830. 5 indexed citations
10.
Witt, William C., et al.. (2023). Atoms, dimers, and nanoparticles from orbital-free density-potential-functional theory. Physical review. A. 108(6). 2 indexed citations
12.
Pham, Hong Duc, Gangadhar Banappanavar, Hyunsoo Lim, et al.. (2022). Fluorenone and triphenylamine based donor–acceptor–donor (D–A–D) for solution-processed organic light-emitting diodes. Flexible and Printed Electronics. 7(2). 25009–25009. 3 indexed citations
13.
Liu, Qian, Yongqiang Shi, Wen Liang Tan, et al.. (2022). Directional Carrier Polarity Tunability in Ambipolar Organic Transistors Based on Diketopyrrolopyrrole and Bithiophene Imide Dual-Acceptor Semiconducting Polymers. Chemistry of Materials. 34(7). 3140–3151. 25 indexed citations
14.
Koch, Daniel, Yingqian Chen, Pavlo Golub, & Sergei Manzhos. (2019). Revisiting π backbonding: the influence of d orbitals on metal–CO bonds and ligand red shifts. Physical Chemistry Chemical Physics. 21(37). 20814–20821. 28 indexed citations
15.
Koch, Daniel & Sergei Manzhos. (2019). Ab initio modeling and design of vanadia-based electrode materials for post-lithium batteries. Journal of Physics D Applied Physics. 53(8). 83001–83001. 10 indexed citations
16.
Wong, Keng Lin, Chun‐Sing Lee, Vellaisamy A. L. Roy, et al.. (2017). A new pyrene cored small organic molecule with a flexible alkyl spacer: a potential solution processable blue emitter with bright photoluminescence. New Journal of Chemistry. 41(19). 11383–11390. 9 indexed citations
17.
Chen, Yingqian, Johann Lüder, Man‐Fai Ng, Michael B. Sullivan, & Sergei Manzhos. (2017). Polyaniline and CN-functionalized polyaniline as organic cathodes for lithium and sodium ion batteries: a combined molecular dynamics and density functional tight binding study in solid state. Physical Chemistry Chemical Physics. 20(1). 232–237. 27 indexed citations
18.
Manzhos, Sergei & Fleur Legrain. (2017). First Principles Comparative Study of Lithium, Sodium, and Magnesium Storage in Pure and Gallium-Doped Germanium: Competition between Interstitial and Substitutional Sites. The Japan Society of Applied Physics.
19.
Manzhos, Sergei, et al.. (2000). Clinotron: a Promising Source for THz Regions. The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine). 5. 265. 1 indexed citations
20.
Manzhos, Sergei, et al.. (1999). Plasma Frequency Depression Coefficients for an Electron Beam Scattering on Metallic Surfaces. 4. 5. 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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