Michael Kuss
- Automotive Engineering top 5%
- Advanced Battery Technologies Research 4
- Electric and Hybrid Vehicle Technologies 2
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- Electric Vehicles and Infrastructure 4
- Energy Harvesting in Wireless Networks 1
- Power Line Communications and Noise 1
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- Computational Drug Discovery Methods 2
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- Pharmaceutical Economics and Policy 2
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- Intellectual Property and Patents 1
- Co-authors
- Paul DenholmT. MarkelRobert MargolisAlexander SchuhmacherMarkus HinderOliver GassmannJustin M. FosterMichael C. Caramanis
- Journals
- Drug Discovery Today (3 papers)IEEE Systems Journal (1 paper)Expert Opinion on Drug Discovery (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Michael Kuss
9 papers receiving 390 citations
Peers
Comparison fields: 5 of 57
- Automotive Engineering 241
- Health Informatics 8
- Electrical and Electronic Engineering 308
- Energy Engineering and Power Technology 15
- Control and Systems Engineering 55
Countries citing papers authored by Michael Kuss
This map shows the geographic impact of Michael Kuss'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 Kuss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kuss more than expected).
Fields of papers citing papers by Michael Kuss
This network shows the impact of papers produced by Michael Kuss. 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 Kuss. The network helps show where Michael Kuss may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Michael Kuss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 36 | |
| 2 | 2021 | 18 | |
| 3 | 2020 | 38 | |
| 4 | 2020 | 5 | |
| 5 | 2013 | 63 | |
| 6 | 2012 | 126 | |
| 7 | Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method: Preprint | 2011 | 23 |
| 8 | 2010 | 19 | |
| 9 | 2009 | 88 |
About Michael Kuss
Michael Kuss is a scholar working on Automotive Engineering, Biophysics, Management of Technology and Innovation, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 9 papers that have together received 416 indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (4 papers), Advanced Battery Technologies Research (4 papers), Computational Drug Discovery Methods (2 papers), Electric and Hybrid Vehicle Technologies (2 papers), Pharmaceutical Economics and Policy (2 papers), Energy Harvesting in Wireless Networks (1 paper), Intellectual Property and Patents (1 paper) and Power Line Communications and Noise (1 paper). The work is most often cited by research in Automotive Engineering (241 citations), Health Informatics (8 citations), Electrical and Electronic Engineering (308 citations), Energy Engineering and Power Technology (15 citations) and Control and Systems Engineering (55 citations). Michael Kuss has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Paul Denholm, T. Markel, Robert Margolis, Alexander Schuhmacher, Markus Hinder, Oliver Gassmann, Justin M. Foster, Michael C. Caramanis, W. Krämer and Andreas Kandelbauer. Their work appears in journals such as Drug Discovery Today, IEEE Systems Journal, Expert Opinion on Drug Discovery, Journal of Power Sources and University of North Texas Digital Library (University of North Texas).
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.