Maximilian Hofmann

661 total citations
23 papers, 560 citations indexed

About

Maximilian Hofmann is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Maximilian Hofmann has authored 23 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Maximilian Hofmann's work include Electric Motor Design and Analysis (4 papers), Sensorless Control of Electric Motors (4 papers) and Silicon Carbide Semiconductor Technologies (4 papers). Maximilian Hofmann is often cited by papers focused on Electric Motor Design and Analysis (4 papers), Sensorless Control of Electric Motors (4 papers) and Silicon Carbide Semiconductor Technologies (4 papers). Maximilian Hofmann collaborates with scholars based in Germany, Denmark and Netherlands. Maximilian Hofmann's co-authors include Robert Weigel, Dietmar Kissinger, Georg Fischer, Stefan Lindner, Sebastian Mann, Francesco Barbon, Gabor Vinci, Alexander Koelpin, Martin Maerz and Bernhard Wagner and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Microwave Theory and Techniques and Microelectronics Reliability.

In The Last Decade

Maximilian Hofmann

22 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maximilian Hofmann Germany 8 397 384 60 52 43 23 560
Qinwei Li China 10 83 0.2× 161 0.4× 53 0.9× 5 0.1× 20 0.5× 27 402
Carlos E. F. do Amaral Brazil 6 118 0.3× 228 0.6× 110 1.8× 15 0.3× 15 0.3× 11 361
Ala Eldin Omer Canada 12 536 1.4× 487 1.3× 147 2.5× 10 0.2× 7 0.2× 43 735
Carlos G. Juan Spain 10 339 0.9× 349 0.9× 53 0.9× 11 0.2× 13 0.3× 28 437
Robert C. Roberts United States 8 67 0.2× 184 0.5× 20 0.3× 16 0.3× 3 0.1× 23 284
Djilali Kourtiche France 10 110 0.3× 200 0.5× 19 0.3× 11 0.2× 4 0.1× 48 322
Ali Lashkaripour United States 12 242 0.6× 497 1.3× 9 0.1× 2 0.0× 18 0.4× 21 596
Mohamed Nasrun Osman Malaysia 10 267 0.7× 105 0.3× 4 0.1× 12 0.2× 6 0.1× 73 418
Mubashir Rehman Pakistan 11 136 0.3× 99 0.3× 2 0.0× 31 0.6× 5 0.1× 27 332

Countries citing papers authored by Maximilian Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Hofmann

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Hofmann. A scholar is included among the top collaborators of Maximilian Hofmann 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 Maximilian Hofmann. Maximilian Hofmann 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.
Hofmann, Maximilian, et al.. (2024). Detection of Demagnetization Faults in Electric Motors by Analyzing Inverter Based Current Data Using Machine Learning Techniques. Machines. 12(7). 468–468. 4 indexed citations
2.
Hofmann, Maximilian, et al.. (2023). High Performance GaN Inverter for High-Speed Application. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1 indexed citations
3.
Wagner, Bernhard, et al.. (2023). Current Harmonics Minimization of Permanent Magnet Synchronous Machine Based on Iterative Learning Control and Neural Networks. Machines. 11(8). 784–784. 3 indexed citations
4.
Hofmann, Maximilian, et al.. (2020). Cognitive Power Electronics for Intelligent Drive Technology. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8. 3 indexed citations
5.
Hofmann, Maximilian, et al.. (2019). A hybrid frequency-time-domain approach to determine the vibration fatigue life of electronic devices. Microelectronics Reliability. 98. 86–94. 4 indexed citations
6.
Hofmann, Maximilian, et al.. (2018). Assessing the vibrational response and robustness of electronic systems by dissolving time and length scale. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–7. 1 indexed citations
7.
Hofmann, Maximilian, et al.. (2018). Vibrational resistance investigation of an IGBT gate driver utilizing Frequency Response Analysis (FRA) and Highly Accelerated Life Test (HALT). 1–6. 4 indexed citations
8.
Hofmann, Maximilian, et al.. (2018). Dynamic Mechanical Analysis of a Power Electronic Gate Driver Board. Journal of Physics Conference Series. 1026. 12007–12007.
9.
Hofmann, Maximilian, et al.. (2018). Leben und Wohnen in Salzburg-Lehen. 1 indexed citations
10.
Hofmann, Maximilian, et al.. (2017). Parasitic Inductance Analysis of a Fast Switching 100 kW Full SiC Inverter. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–7. 7 indexed citations
11.
Niu, Ran, et al.. (2017). Formation of a transient amorphous solid in low density aqueous charged sphere suspensions. Scientific Reports. 7(1). 17044–17044. 1 indexed citations
12.
Hofmann, Maximilian, et al.. (2016). Technology and trend management at the interface of technology push and market pull. International Journal of Technology Management. 72(4). 310–310. 1 indexed citations
13.
Hofmann, Maximilian, et al.. (2016). Technology and trend management at the interface of technology push and market pull. International Journal of Technology Management. 72(4). 310–310. 7 indexed citations
14.
Hofmann, Maximilian, et al.. (2015). A 2–30 GHz multi-octave planar microwave six-port for reflectometry applications. 52–55. 2 indexed citations
15.
Hofmann, Maximilian, et al.. (2015). Miniature Microwave Biosensors: Noninvasive Applications. IEEE Microwave Magazine. 16(4). 71–86. 69 indexed citations
16.
17.
Wagner, Bernhard, et al.. (2013). Optimal Current Control Of Externally Excited Synchronous Machines In Automotive Traction Drive Applications. Zenodo (CERN European Organization for Nuclear Research). 7(9). 1133–1139. 11 indexed citations
18.
Hofmann, Maximilian, Georg Fischer, Robert Weigel, & Dietmar Kissinger. (2013). Microwave-Based Noninvasive Concentration Measurements for Biomedical Applications. IEEE Transactions on Microwave Theory and Techniques. 61(5). 2195–2204. 237 indexed citations
19.
Vinci, Gabor, Stefan Lindner, Francesco Barbon, et al.. (2013). Six-Port Radar Sensor for Remote Respiration Rate and Heartbeat Vital-Sign Monitoring. IEEE Transactions on Microwave Theory and Techniques. 61(5). 2093–2100. 145 indexed citations
20.
Hofmann, Maximilian, et al.. (2011). A novel approach to non-invasive blood glucose measurement based on RF transmission. 38 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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