Teo Lombardo

1.7k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Teo Lombardo is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Teo Lombardo has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 19 papers in Automotive Engineering and 5 papers in Materials Chemistry. Recurrent topics in Teo Lombardo's work include Advancements in Battery Materials (19 papers), Advanced Battery Technologies Research (19 papers) and Advanced Battery Materials and Technologies (7 papers). Teo Lombardo is often cited by papers focused on Advancements in Battery Materials (19 papers), Advanced Battery Technologies Research (19 papers) and Advanced Battery Materials and Technologies (7 papers). Teo Lombardo collaborates with scholars based in France, Germany and Sweden. Teo Lombardo's co-authors include Alejandro A. Franco, Alain C. Ngandjong, Emiliano N. Primo, Mehdi Chouchane, Marc Duquesnoy, Abbos Shodiev, A. Rucci, Oier Arcelus, Alexis Grimaud and Patrik Johansson and has published in prestigious journals such as Chemical Reviews, Journal of The Electrochemical Society and Journal of Power Sources.

In The Last Decade

Teo Lombardo

26 papers receiving 1.3k citations

Hit Papers

Artificial Intelligence Applied to Battery Research: Hype... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teo Lombardo France 16 999 867 245 215 106 26 1.3k
Mehdi Chouchane France 17 1.0k 1.0× 863 1.0× 193 0.8× 122 0.6× 157 1.5× 27 1.2k
Henrike Bockholt Germany 14 1.2k 1.2× 1.1k 1.2× 351 1.4× 54 0.3× 179 1.7× 18 1.4k
Marc Duquesnoy France 12 626 0.6× 522 0.6× 164 0.7× 183 0.9× 39 0.4× 16 840
Ruben Leithoff Germany 9 856 0.9× 663 0.8× 232 0.9× 68 0.3× 136 1.3× 12 1.0k
Michael Lain United Kingdom 20 1.3k 1.3× 915 1.1× 352 1.4× 121 0.6× 254 2.4× 40 1.5k
Thomas Knoche Germany 9 827 0.8× 582 0.7× 139 0.6× 103 0.5× 37 0.3× 11 977
Kai Peter Birke Germany 28 2.1k 2.1× 1.9k 2.2× 221 0.9× 155 0.7× 118 1.1× 163 2.5k
Fridolin Röder Germany 23 1.1k 1.1× 1.1k 1.2× 146 0.6× 77 0.4× 67 0.6× 41 1.3k
Ashley Fly United Kingdom 15 799 0.8× 467 0.5× 154 0.6× 152 0.7× 69 0.7× 33 947
Jingyi Chen China 11 1.9k 1.9× 1.7k 2.0× 170 0.7× 143 0.7× 123 1.2× 25 2.2k

Countries citing papers authored by Teo Lombardo

Since Specialization
Citations

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

Fields of papers citing papers by Teo Lombardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teo Lombardo

This figure shows the co-authorship network connecting the top 25 collaborators of Teo Lombardo. A scholar is included among the top collaborators of Teo Lombardo 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 Teo Lombardo. Teo Lombardo 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.
Hertle, Jonas, Felix Walther, Teo Lombardo, et al.. (2024). Benchmarking of Coatings for Cathode Active Materials in Solid-State Batteries Using Surface Analysis and Reference Electrodes. ACS Applied Materials & Interfaces. 16(7). 9400–9413. 4 indexed citations
2.
Lombardo, Teo, et al.. (2024). Influence of Moisture on the Electrochemical Performance of Prelithiated Graphite/SiOx Composite Anodes for Li-Ion Batteries. Journal of The Electrochemical Society. 171(4). 40511–40511. 3 indexed citations
3.
Lombardo, Teo, et al.. (2023). ToF-SIMS in battery research: Advantages, limitations, and best practices. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 41(5). 38 indexed citations
4.
Lombardo, Teo, et al.. (2023). Bridging the Gap: Electrode Microstructure and Interphase Characterization by Combining ToF‐SIMS and Machine Learning. Advanced Materials Interfaces. 10(36). 9 indexed citations
5.
Zhao, Yinghan, Svenja‐K. Otto, Teo Lombardo, et al.. (2023). Identification of Lithium Compounds on Surfaces of Lithium Metal Anode with Machine-Learning-Assisted Analysis of ToF-SIMS Spectra. ACS Applied Materials & Interfaces. 15(43). 50469–50478. 16 indexed citations
7.
Liu, Chaoyue, Teo Lombardo, Jiahui Xu, Alain C. Ngandjong, & Alejandro A. Franco. (2022). An experimentally-validated 3D electrochemical model revealing electrode manufacturing parameters’ effects on battery performance. Energy storage materials. 54. 156–163. 38 indexed citations
8.
Lombardo, Teo, Fanny Lambert, R. Russo, et al.. (2022). Experimentally Validated Three‐Dimensional Modeling of Organic‐Based Sodium‐Ion Battery Electrode Manufacturing. Batteries & Supercaps. 5(8). 24 indexed citations
9.
Duquesnoy, Marc, et al.. (2022). Functional data-driven framework for fast forecasting of electrode slurry rheology simulated by molecular dynamics. npj Computational Materials. 8(1). 16 indexed citations
10.
Lombardo, Teo, Emiliano N. Primo, Marc Duquesnoy, et al.. (2021). What Can Text Mining Tell Us About Lithium‐Ion Battery Researchers’ Habits?. Batteries & Supercaps. 4(5). 689–689. 3 indexed citations
11.
Lombardo, Teo, Marc Duquesnoy, Fabian Årén, et al.. (2021). Artificial Intelligence Applied to Battery Research: Hype or Reality?. Chemical Reviews. 122(12). 10899–10969. 339 indexed citations breakdown →
12.
Lombardo, Teo, et al.. (2021). Electrochemical assessments of droplet contents in microfluidic channels. Application to the titration of heterogeneous droplets. Analytica Chimica Acta. 1155. 338344–338344. 4 indexed citations
13.
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
14.
Lombardo, Teo, Emiliano N. Primo, Marc Duquesnoy, et al.. (2021). What Can Text Mining Tell Us About Lithium‐Ion Battery Researchers’ Habits?. Batteries & Supercaps. 4(5). 758–766. 29 indexed citations
15.
Lombardo, Teo, et al.. (2021). Carbon-Binder Migration: A Three-Dimensional Drying Model for Lithium-ion Battery Electrodes. Energy storage materials. 43. 337–347. 85 indexed citations
16.
Liu, Chaoyue, et al.. (2021). Towards a 3D-resolved model of Si/Graphite composite electrodes from manufacturing simulations. Journal of Power Sources. 512. 230486–230486. 32 indexed citations
17.
Lombardo, Teo, et al.. (2019). Artificial Intelligence Investigation of NMC Cathode Manufacturing Parameters Interdependencies. Batteries & Supercaps. 3(1). 60–67. 115 indexed citations
18.
Chouchane, Mehdi, A. Rucci, Teo Lombardo, Alain C. Ngandjong, & Alejandro A. Franco. (2019). Lithium ion battery electrodes predicted from manufacturing simulations: Assessing the impact of the carbon-binder spatial location on the electrochemical performance. Journal of Power Sources. 444. 227285–227285. 105 indexed citations
19.
Lombardo, Teo, et al.. (2019). Electrochemical Detection of Droplets in Microfluidic Devices: Simultaneous Determination of Velocity, Size and Content. Electroanalysis. 31(11). 2103–2111. 11 indexed citations
20.
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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