Michal Bajdich
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- Electrocatalysts for Energy Conversion 49
- CO2 Reduction Techniques and Catalysts 14
- Electrochemistry top 0.1%
- Electrochemical Analysis and Applications 17
- Catalysis top 1%
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- Advanced battery technologies research 17
- Fuel Cells and Related Materials 13
- Materials Chemistry top 1%
- Catalytic Processes in Materials Science 21
- Machine Learning in Materials Science 12
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- Advanced Chemical Physics Studies 11
- Co-authors
- Jens K. NørskovAlexis T. BellAleksandra VojvodićMónica García‐MotaDimosthenis SokarasRyan C. DavisAnders NilssonRoberto Alonso‐Mori
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (9 papers)Physical Review Letters (3 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Michal Bajdich
87 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Renewable Energy, Sustainability and the Environment 6.9k
- Electrochemistry 1.7k
- Catalysis 1.0k
- Electrical and Electronic Engineering 5.1k
- Materials Chemistry 3.5k
Countries citing papers authored by Michal Bajdich
This map shows the geographic impact of Michal Bajdich'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 Michal Bajdich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Bajdich more than expected).
Fields of papers citing papers by Michal Bajdich
This network shows the impact of papers produced by Michal Bajdich. 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 Michal Bajdich. The network helps show where Michal Bajdich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michal Bajdich, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 16 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 3 | |
| 7 | 2024 | 19 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 23 | |
| 13 | 2021 | 105 | |
| 14 | 2021 | 139 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 117 | |
| 17 | 2020 | 96 | |
| 18 | 2019 | 48 | |
| 19 | 2019 | 48 | |
| 20 | 2次元t-t′ Hubbard模型における単一スピンフリップに対するNagaoka状態の安定に関する変分研究 | 2001 | 4 |
About Michal Bajdich
Michal Bajdich is a scholar working on Renewable Energy, Sustainability and the Environment, Electrochemistry and Catalysis, having authored 88 papers that have together received 8.9k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (49 papers), Catalytic Processes in Materials Science (21 papers), Electrochemical Analysis and Applications (17 papers), Advanced battery technologies research (17 papers), CO2 Reduction Techniques and Catalysts (14 papers), Fuel Cells and Related Materials (13 papers), Machine Learning in Materials Science (12 papers) and Advanced Chemical Physics Studies (11 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (6.9k citations), Electrochemistry (1.7k citations) and Catalysis (1.0k citations). Michal Bajdich has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Jens K. Nørskov, Alexis T. Bell, Aleksandra Vojvodić, Mónica García‐Mota, Dimosthenis Sokaras, Ryan C. Davis, Anders Nilsson, Roberto Alonso‐Mori, Daniel Friebel and Mary W. Louie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.