Lars Löwenstein

633 total citations
16 papers, 486 citations indexed

About

Lars Löwenstein is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Lars Löwenstein has authored 16 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Automotive Engineering, 11 papers in Electrical and Electronic Engineering and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Lars Löwenstein's work include Electric and Hybrid Vehicle Technologies (11 papers), Advanced Battery Technologies Research (7 papers) and Electric Vehicles and Infrastructure (6 papers). Lars Löwenstein is often cited by papers focused on Electric and Hybrid Vehicle Technologies (11 papers), Advanced Battery Technologies Research (7 papers) and Electric Vehicles and Infrastructure (6 papers). Lars Löwenstein collaborates with scholars based in Germany and Austria. Lars Löwenstein's co-authors include Hujun Peng, Kay Hameyer, Kai Deng, Stefan Pischinger, Jianxiang Li, Andreas Thul, Cem Ünlübayir, Ioan‐Adrian Viorel, Loránd Szabó and Dirk Uwe Sauer and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Sustainability.

In The Last Decade

Lars Löwenstein

16 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Löwenstein Germany 13 360 352 75 46 39 16 486
Hujun Peng Germany 10 338 0.9× 344 1.0× 68 0.9× 27 0.6× 41 1.1× 22 440
Cem Ünlübayir Germany 10 388 1.1× 386 1.1× 31 0.4× 45 1.0× 31 0.8× 17 479
Feiqin Zhu China 9 232 0.6× 238 0.7× 143 1.9× 69 1.5× 32 0.8× 13 413
O. Oñederra Spain 9 399 1.1× 279 0.8× 24 0.3× 75 1.6× 10 0.3× 20 461
Cheng‐Jung Yang Taiwan 10 180 0.5× 114 0.3× 46 0.6× 87 1.9× 12 0.3× 44 336
Alexander W. Kunith Germany 8 379 1.1× 379 1.1× 37 0.5× 13 0.3× 10 0.3× 10 435
Víctor Isaac Herrera Spain 9 343 1.0× 382 1.1× 85 1.1× 85 1.8× 21 0.5× 24 505
Matthias Thomitzek Germany 9 183 0.5× 230 0.7× 87 1.2× 31 0.7× 14 0.4× 11 335
Gildong Kim South Korea 10 162 0.5× 85 0.2× 109 1.5× 37 0.8× 14 0.4× 46 330
Salvatore Micari Italy 11 353 1.0× 344 1.0× 45 0.6× 18 0.4× 13 0.3× 20 450

Countries citing papers authored by Lars Löwenstein

Since Specialization
Citations

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

Fields of papers citing papers by Lars Löwenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Löwenstein

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

All Works

16 of 16 papers shown
1.
Deng, Kai, et al.. (2022). Hierarchical eco-driving and energy management control for hydrogen powered hybrid trains. Energy Conversion and Management. 264. 115735–115735. 21 indexed citations
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Buttlar, Benjamin, et al.. (2021). Love Food, Hate Waste? Ambivalence towards Food Fosters People’s Willingness to Waste Food. Sustainability. 13(7). 3971–3971. 16 indexed citations
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Deng, Kai, et al.. (2021). Deep reinforcement learning based energy management strategy of fuel cell hybrid railway vehicles considering fuel cell aging. Energy Conversion and Management. 251. 115030–115030. 120 indexed citations
6.
Peng, Hujun, Zhu Chen, Jianxiang Li, et al.. (2021). Co-optimization of total running time, timetables, driving strategies and energy management strategies for fuel cell hybrid trains. eTransportation. 9. 100130–100130. 23 indexed citations
7.
Deng, Kai, Hujun Peng, Cem Ünlübayir, et al.. (2020). An adaptive PMP-based model predictive energy management strategy for fuel cell hybrid railway vehicles. eTransportation. 7. 100094–100094. 55 indexed citations
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Peng, Hujun, Jianxiang Li, Andreas Thul, et al.. (2020). A scalable, causal, adaptive rule-based energy management for fuel cell hybrid railway vehicles learned from results of dynamic programming. eTransportation. 4. 100057–100057. 59 indexed citations
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Peng, Hujun, Jianxiang Li, Lars Löwenstein, & Kay Hameyer. (2020). A scalable, causal, adaptive energy management strategy based on optimal control theory for a fuel cell hybrid railway vehicle. Applied Energy. 267. 114987–114987. 49 indexed citations
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Viorel, Ioan‐Adrian, et al.. (2004). Integrated starter-generators for automotive applications. 45(3). 24 indexed citations
15.
Viorel, Ioan‐Adrian, et al.. (2004). DIRECT DRIVE SYSTEMS WITH TRANSVERSE FLUX RELUCTANCE MOTORS. 44(3). 33–40. 5 indexed citations
16.
Henneberger, G. & Lars Löwenstein. (2002). Crankshaft starter generators based on the principle of reluctance. 2(6). 68–71. 2 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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