Michael Ulsh

70 papers receiving 1.8k citations

Peers

Michael Ulsh
Comparison fields: 5 of 67
  • Renewable Energy, Sustainability and the Environment 1.1k
  • Energy Engineering and Power Technology 135
  • Electrical and Electronic Engineering 1.5k
  • Surfaces, Coatings and Films 176
  • Automotive Engineering 201
Replace Sung Chan Cho with:
Sung Chan Cho United States
Prodip K. Das United Kingdom
Tobias P. Neville United Kingdom
Paul C. Uzoma China
Jeffrey Mishler United States
Antoni Forner‐Cuenca Netherlands
Jasna Janković United States
D.S. Falcão Portugal
Zhongjun Hou China
Rod L. Borup United States
Michael Ulsh relative to Sung Chan Cho United States Sung Chan Cho's profile →
Citations per field
00.5×4.2×
Sung Chan Cho · 1×
Citations per year

Countries citing papers authored by Michael Ulsh

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ulsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Ulsh, 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 Ulsh Line = papers co-authored together Michael Ulsh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019156
2 2003148
3 2018127
4 2019123
5 202080
6 202177
7 202076
8 202172
9 201868
10 201963
11 199663
12 201957
13 202057
14 202042
15 201842
16 201739
17 201238
18 201336
19 201334
20 202130

About Michael Ulsh

Michael Ulsh is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Materials Chemistry, Polymers and Plastics and Automotive Engineering, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (54 papers), Electrocatalysts for Energy Conversion (42 papers), Advancements in Solid Oxide Fuel Cells (14 papers), Advanced battery technologies research (14 papers), Advanced Battery Technologies Research (7 papers), Conducting polymers and applications (6 papers), Machine Learning in Materials Science (6 papers) and Combustion and flame dynamics (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.1k citations), Energy Engineering and Power Technology (135 citations), Electrical and Electronic Engineering (1.5k citations), Surfaces, Coatings and Films (176 citations) and Automotive Engineering (201 citations). Michael Ulsh has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Scott A Mauger, K.C. Neyerlin, Guido Bender, Deborah J. Myers, Min Wang, Svitlana Pylypenko, Jae Hyung Park, Sunilkumar Khandavalli, Mark Strobel and Melvyn C. Branch. Their work appears in journals such as Journal of Power Sources, International Journal of Hydrogen Energy, Journal of Adhesion Science and Technology, Fuel Cells and ACS Applied Energy Materials.

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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