Michael Schmid

57 papers receiving 2.2k citations

Peers

Michael Schmid
Comparison fields: 5 of 141
  • Biotechnology 406
  • Automotive Engineering 422
  • Cardiology and Cardiovascular Medicine 335
  • Pharmacology 197
  • Molecular Biology 738
Replace Neeraj Aggarwal with:
Neeraj Aggarwal India
Chao Ye China
Jason A. Osborne United States
Yanbin Yin United States
Fengqin Li China
Sukanta Sen India
Jing Han China
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Michael Schmid relative to Neeraj Aggarwal India Neeraj Aggarwal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Schmid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Schmid Line = papers co-authored together Michael Schmid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001340
2 1993305
3 2020122
4 2005110
5 199894
6 202190
7 202085
8 200783
9 201274
10 200568
11 199366
12 200757
13 202251
14 200346
15 200545
16 200444
17 201444
18 200343
19 202142
20 200041

About Michael Schmid

Michael Schmid is a scholar working on Molecular Biology, Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Plant Science, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (7 papers), Fault Detection and Control Systems (6 papers), Listeria monocytogenes in Food Safety (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Microbial Community Ecology and Physiology (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Biotechnology (406 citations), Automotive Engineering (422 citations), Cardiology and Cardiovascular Medicine (335 citations), Pharmacology (197 citations) and Molecular Biology (738 citations). Michael Schmid has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Christian Endisch, Michael Wagner, Anton Hartmann, Eckard Wimmer, Jörg Hacker, Ute Hentschel, Lars Fieseler, Christine Gernert, Soyoung Shin and Christopher U.T. Hellen. Their work appears in journals such as Journal of Energy Storage, IEEE Transactions on Power Electronics, Journal of Microbiological Methods, FEMS Microbiology Ecology and Applied Thermal Engineering.

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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