Michael Kuss

593 citations
10 papers · 460 · h-index 8

Impact in

Papers in

Michael Kuss

10 papers receiving 430 citations

Peers

Michael Kuss
Comparison fields: 5 of 62
  • Automotive Engineering 263
  • Health Informatics 9
  • Electrical and Electronic Engineering 339
  • Energy Engineering and Power Technology 15
  • Renewable Energy, Sustainability and the Environment 39
Replace N. A. Rahmat with:
N. A. Rahmat Malaysia
Tsong-Liang Huang Taiwan
Sandro Schopfer Switzerland
P. Lang United Kingdom
Fakhra Jabeen Netherlands
Chao Luo China
Carlos A. Macana Australia
Md Habib Ullah United States
Ameni Boumaiza Qatar
Antti Pinomaa Finland
Michael Kuss relative to N. A. Rahmat Malaysia N. A. Rahmat's profile →
Citations per field
00.5×2×4×6.8×
N. A. Rahmat · 1×
Citations per year

Countries citing papers authored by Michael Kuss

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

10 of 10 papers shown
#Work
1 2012141
2 2009103
3 201364
4 202041
5 202140
6
Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method: Preprint
201124
7 202121
8 201020
9 20205
10
Communication and Control of Electric Vehicles Supporting Renewables: Preprint
20091

About Michael Kuss

Michael Kuss is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Economics and Econometrics, having authored 10 papers that have together received 460 indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (4 papers), Advanced Battery Technologies Research (4 papers), Energy Harvesting in Wireless Networks (2 papers), Computational Drug Discovery Methods (2 papers), Pharmaceutical Economics and Policy (2 papers), Electric and Hybrid Vehicle Technologies (2 papers), Intellectual Property and Patents (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Automotive Engineering (263 citations), Health Informatics (9 citations), Electrical and Electronic Engineering (339 citations), Energy Engineering and Power Technology (15 citations) and Renewable Energy, Sustainability and the Environment (39 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, Oliver Gassmann, Markus Hinder, Justin M. Foster, Michael C. Caramanis, W. Krämer and Michael Simpson. Their work appears in journals such as Drug Discovery Today, IEEE Systems Journal, Journal of Power Sources, Expert Opinion on Drug Discovery 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.

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