Abbos Shodiev

787 total citations
12 papers, 605 citations indexed

About

Abbos Shodiev is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Abbos Shodiev has authored 12 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 9 papers in Automotive Engineering and 2 papers in Computational Mechanics. Recurrent topics in Abbos Shodiev's work include Advanced Battery Technologies Research (9 papers), Advancements in Battery Materials (7 papers) and Advanced Battery Materials and Technologies (3 papers). Abbos Shodiev is often cited by papers focused on Advanced Battery Technologies Research (9 papers), Advancements in Battery Materials (7 papers) and Advanced Battery Materials and Technologies (3 papers). Abbos Shodiev collaborates with scholars based in France, United States and Japan. Abbos Shodiev's co-authors include Alejandro A. Franco, Mehdi Chouchane, Oier Arcelus, Emiliano N. Primo, Teo Lombardo, Alain C. Ngandjong, Jianlin Li, Jia Yu, A. Rucci and Franco M. Zanotto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Small.

In The Last Decade

Abbos Shodiev

11 papers receiving 590 citations

Peers

Abbos Shodiev

EEE

EOMM

Florian J. Günter Germany

Jana Kumberg Germany

Bastian Westphal Germany

Johannes Kriegler Germany

Adam M. Boyce United Kingdom

Valentin Wenzel Germany

Ralf Diehm Germany

Bradley Trembacki United States

Sandro Stock Germany

Yangping Sheng United States

Florian J. Günter Germany

Abbos Shodiev

612 ×1.2

EEE

514 ×1.2

176 ×1.5

64 ×0.7

EOMM

27 ×0.6

Citations per year, relative to Abbos Shodiev Abbos Shodiev (= 1×) peers Florian J. Günter

Countries citing papers authored by Abbos Shodiev

Since Specialization

Citations

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

Fields of papers citing papers by Abbos Shodiev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abbos Shodiev

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

All Works

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12 of 12 papers shown

Asch, Mark, et al.. (2023). Machine learning for optimal electrode wettability in lithium ion batteries. SHILAP Revista de lepidopterología. 20. 100114–100114. 18 indexed citations

Shodiev, Abbos, Franco M. Zanotto, Jia Yu, et al.. (2022). Designing electrode architectures to facilitate electrolyte infiltration for lithium-ion batteries. Energy storage materials. 49. 268–277. 58 indexed citations

Shodiev, Abbos, Mehdi Chouchane, Miran Gaberšček, et al.. (2022). Deconvoluting the benefits of porosity distribution in layered electrodes on the electrochemical performance of Li-ion batteries. Energy storage materials. 47. 462–471. 75 indexed citations

Yu, Jia, Rocco Peter Fornari, Oier Arcelus, et al.. (2022). Gaining Insight into the Electrochemical Interface Dynamics in an Organic Redox Flow Battery with a Kinetic Monte Carlo Approach. Small. 18(43). e2107720–e2107720. 3 indexed citations

Zhang, Minghao, Mehdi Chouchane, B. Winiarski, et al.. (2022). Coupling of Multiscale Imaging Analysis and Computational Modeling for Understanding Thick Cathode Degradation Mechanisms. SSRN Electronic Journal.

Zhang, Minghao, Mehdi Chouchane, B. Winiarski, et al.. (2022). Coupling of multiscale imaging analysis and computational modeling for understanding thick cathode degradation mechanisms. Joule. 7(1). 201–220. 77 indexed citations

Shodiev, Abbos, Emiliano N. Primo, Oier Arcelus, et al.. (2021). Insight on electrolyte infiltration of lithium ion battery electrodes by means of a new three-dimensional-resolved lattice Boltzmann model. Energy storage materials. 38. 80–92. 90 indexed citations

Ngandjong, Alain C., Teo Lombardo, Emiliano N. Primo, et al.. (2021). Discrete Element Method Simulation of Electrode Calendering and Its Impact on Electrochemical Performance. ECS Meeting Abstracts. MA2021-01(2). 175–175. 2 indexed citations

Shodiev, Abbos, Marc Duquesnoy, Oier Arcelus, et al.. (2021). Machine learning 3D-resolved prediction of electrolyte infiltration in battery porous electrodes. Journal of Power Sources. 511. 230384–230384. 33 indexed citations

10.

Shodiev, Abbos, Emiliano N. Primo, Mehdi Chouchane, et al.. (2020). 4D-resolved physical model for Electrochemical Impedance Spectroscopy of Li(Ni1-x-yMnxCoy)O2-based cathodes in symmetric cells: Consequences in tortuosity calculations. Journal of Power Sources. 454. 227871–227871. 75 indexed citations

11.

Ngandjong, Alain C., Teo Lombardo, Emiliano N. Primo, et al.. (2020). Investigating electrode calendering and its impact on electrochemical performance by means of a new discrete element method model: Towards a digital twin of Li-Ion battery manufacturing. Journal of Power Sources. 485. 229320–229320. 173 indexed citations

12.

Ngandjong, Alain C., A. Rucci, Teo Lombardo, et al.. (2019). Multi-Paradigm Modeling Approach to Simulate the Link between the Fabrication Process and the Performance of Li-Ion Batteries. ECS Meeting Abstracts. MA2019-01(2). 378–378. 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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