Michael Giesselmann

175 total papers · 1.5k total citations
129 papers, 1.1k citations indexed

About

Michael Giesselmann is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Michael Giesselmann has authored 129 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Electrical and Electronic Engineering, 46 papers in Control and Systems Engineering and 32 papers in Aerospace Engineering. Recurrent topics in Michael Giesselmann's work include Silicon Carbide Semiconductor Technologies (32 papers), Advanced DC-DC Converters (20 papers) and Gyrotron and Vacuum Electronics Research (19 papers). Michael Giesselmann is often cited by papers focused on Silicon Carbide Semiconductor Technologies (32 papers), Advanced DC-DC Converters (20 papers) and Gyrotron and Vacuum Electronics Research (19 papers). Michael Giesselmann collaborates with scholars based in United States, Germany and China. Michael Giesselmann's co-authors include Donald C. Wunsch, E. O'Hair, Shuhui Li, Stephen Bayne, Miao He, M. Kristiansen, A. Neuber, J. Dickens, Anitha Sarah Subburaj and W.J. Carey and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Michael Giesselmann

124 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Giesselmann 849 388 236 147 91 129 1.1k
Erol Kurt 819 1.0× 307 0.8× 138 0.6× 116 0.8× 144 1.6× 134 1.4k
Cheng Wang 743 0.9× 482 1.2× 158 0.7× 42 0.3× 182 2.0× 160 1.4k
Chong Li 388 0.5× 224 0.6× 157 0.7× 113 0.8× 33 0.4× 89 1.0k
Ishak Aris 681 0.8× 451 1.2× 62 0.3× 119 0.8× 97 1.1× 138 1.4k
Francesco Conte 586 0.7× 540 1.4× 33 0.1× 87 0.6× 55 0.6× 99 1.1k
Jinfu Chen 932 1.1× 389 1.0× 120 0.5× 260 1.8× 20 0.2× 73 1.4k
Shinji Wakao 1.1k 1.3× 453 1.2× 54 0.2× 135 0.9× 80 0.9× 188 1.4k
H. Fujita 1.0k 1.2× 729 1.9× 159 0.7× 40 0.3× 71 0.8× 68 1.2k
Dionisio Ramírez 896 1.1× 404 1.0× 101 0.4× 129 0.9× 41 0.5× 63 1.2k
Kaipei Liu 990 1.2× 512 1.3× 150 0.6× 107 0.7× 72 0.8× 157 1.4k

Countries citing papers authored by Michael Giesselmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Giesselmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Giesselmann

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

All Works

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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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