Yair Ein‐Eli

15.0k total citations · 9 hit papers
223 papers, 12.8k citations indexed

About

Yair Ein‐Eli is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Yair Ein‐Eli has authored 223 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Electrical and Electronic Engineering, 58 papers in Automotive Engineering and 58 papers in Materials Chemistry. Recurrent topics in Yair Ein‐Eli's work include Advancements in Battery Materials (127 papers), Advanced Battery Materials and Technologies (101 papers) and Advanced Battery Technologies Research (58 papers). Yair Ein‐Eli is often cited by papers focused on Advancements in Battery Materials (127 papers), Advanced Battery Materials and Technologies (101 papers) and Advanced Battery Technologies Research (58 papers). Yair Ein‐Eli collaborates with scholars based in Israel, Germany and United States. Yair Ein‐Eli's co-authors include Alexander Kraytsberg, Doron Aurbach, Boris Markovsky, David Starosvetsky, Moran Balaish, Elena Levi, I. Weissman, Mahmud Auinat, Doron Aurbach and V. R. Koch and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yair Ein‐Eli

218 papers receiving 12.5k citations

Hit Papers

On the correlation between surface chemistry and performa... 1995 2026 2005 2015 1999 2021 1996 2012 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yair Ein‐Eli Israel 51 11.3k 4.6k 2.4k 2.3k 1.2k 223 12.8k
Jiajun Wang China 65 11.2k 1.0× 3.6k 0.8× 2.7k 1.1× 3.0k 1.3× 1.3k 1.1× 200 12.9k
Mei Cai United States 59 12.9k 1.1× 3.9k 0.8× 3.7k 1.5× 4.4k 1.9× 1.1k 0.9× 173 15.4k
Ting‐Feng Yi China 65 12.1k 1.1× 3.0k 0.6× 2.7k 1.1× 5.3k 2.3× 2.1k 1.7× 343 14.2k
Bing Sun China 70 13.2k 1.2× 3.1k 0.7× 4.0k 1.6× 4.0k 1.7× 813 0.7× 227 15.3k
Chunpeng Yang China 55 13.0k 1.1× 6.2k 1.4× 2.3k 0.9× 2.3k 1.0× 836 0.7× 108 14.6k
Kyung‐Wan Nam South Korea 63 12.9k 1.1× 3.5k 0.8× 3.8k 1.6× 5.1k 2.2× 1.8k 1.5× 206 15.1k
Lei Dai China 59 9.0k 0.8× 2.1k 0.5× 2.2k 0.9× 3.2k 1.4× 663 0.6× 308 10.6k
Qian Sun China 72 13.5k 1.2× 4.2k 0.9× 3.2k 1.3× 3.1k 1.3× 782 0.7× 205 14.9k
Bryan D. McCloskey United States 73 19.9k 1.8× 6.9k 1.5× 2.9k 1.2× 3.0k 1.3× 1.8k 1.5× 183 23.6k
Yongzhu Fu China 58 16.2k 1.4× 5.5k 1.2× 3.2k 1.3× 1.8k 0.8× 685 0.6× 213 17.4k

Countries citing papers authored by Yair Ein‐Eli

Since Specialization
Citations

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

Fields of papers citing papers by Yair Ein‐Eli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yair Ein‐Eli. 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 Yair Ein‐Eli. The network helps show where Yair Ein‐Eli may publish in the future.

Co-authorship network of co-authors of Yair Ein‐Eli

This figure shows the co-authorship network connecting the top 25 collaborators of Yair Ein‐Eli. A scholar is included among the top collaborators of Yair Ein‐Eli 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 Yair Ein‐Eli. Yair Ein‐Eli 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.
Baskin, Igor I., Sebastian Maletti, Christian Heubner, et al.. (2025). Towards a universal model for assessing the performance of battery materials at the level of single-particle behavior. Electrochimica Acta. 523. 145939–145939.
2.
Ströbl, Markus, Florencia Malamud, Xiaolong Zhang, et al.. (2025). Concurrent Operando Neutron Imaging and Diffraction Analysis Revealing Spatial Lithiation Phase Evolution in an Ultra‐Thick Graphite Electrode. Advanced Energy Materials. 15(20). 3 indexed citations
3.
Gu, Yuxing, et al.. (2025). Boosting rate capability and cycling stability of lithium-ion batteries with high-mass-loading electrodes via printable graphene on separators. Journal of Power Sources. 645. 237210–237210. 1 indexed citations
4.
Kraytsberg, Alexander & Yair Ein‐Eli. (2025). Biomaterials for advanced Li and Li-ion batteries. Journal of Solid State Electrochemistry. 1 indexed citations
5.
Ein‐Eli, Yair, et al.. (2025). Will Iron Forge the Future of Metal‐Air Batteries in Grid Scale Energy Storage?. ChemSusChem. 18(10). e202402412–e202402412. 1 indexed citations
7.
Barraco, Daniel E., et al.. (2024). On the influence of ion interactions on the predictions of a non-interacting model applied to evaluate lithium-ion battery materials. Journal of Solid State Electrochemistry. 29(10). 4149–4155.
8.
Kraytsberg, Alexander & Yair Ein‐Eli. (2024). Degradation Processes in Current Commercialized Li-Ion Batteries and Strategies to Mitigate Them. Annual Review of Materials Research. 54(1). 143–173. 7 indexed citations
9.
Zhang, Fuming, et al.. (2024). Five Volts Lithium Batteries with Advanced Carbonate‐Based Electrolytes: A Rational Design via a Trio‐Functional Addon Materials. Advanced Materials. 36(44). e2410277–e2410277. 28 indexed citations
10.
Durmus, Yasin Emre, Hermann Tempel, Hans Kungl, et al.. (2024). Unveiling the Potential of Silicon‐Air Batteries for Low‐Power Transient Electronics: Electrochemical Insights and Practical Application. Batteries & Supercaps. 7(5). 5 indexed citations
11.
Barraco, Daniel E., et al.. (2023). Towards a fast-charging of LIBs electrode materials: a heuristic model based on galvanostatic simulations. Electrochimica Acta. 464. 142951–142951. 5 indexed citations
12.
Ein‐Eli, Yair, et al.. (2023). Silicon-coated multi-walled carbon nanotube (MWCNT) tissues as flexible free-standing anodes for advanced Li-ion batteries. Journal of Solid State Electrochemistry. 28(7). 2139–2149. 7 indexed citations
13.
Baskin, Igor I., et al.. (2022). Benchmarking machine learning methods for modeling physical properties of ionic liquids. Journal of Molecular Liquids. 351. 118616–118616. 41 indexed citations
14.
Kundu, Sumana, et al.. (2021). Revealing and excluding the root cause of the electronic conductivity in Mg-ion MgSc2Se4 solid electrolyte. Applied Materials Today. 23. 100998–100998. 13 indexed citations
16.
Levy, Natasha Ronith, Jonathan Tzadikov, Michal Weitman, et al.. (2021). Molten state synthesis of nickel phosphides: mechanism and composition-activity correlation for electrochemical applications. Journal of Materials Chemistry A. 9(48). 27629–27638. 14 indexed citations
18.
Vacandio, Florence, et al.. (2020). Direct Pre-lithiation of Electropolymerized Carbon Nanotubes for Enhanced Cycling Performance of Flexible Li-Ion Micro-Batteries. Polymers. 12(2). 406–406. 35 indexed citations
19.
20.
Ein‐Eli, Yair, et al.. (2019). Insights into the surface and stress behavior of manganese-oxide catalyst during oxygen reduction reaction. Journal of Power Sources. 450. 227545–227545. 7 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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