Philipp C. Verpoort
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology top 5%
- Materials Chemistry
- Mechanical Engineering
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Falko UeckerdtG. J. ConduitPaul M. MacdonaldChristian BauerSimon RoussanalyFiona J. BeckRahul AnantharamanThomas Longden
- Topics
- Machine Learning in Materials Science (3 papers)Physics of Superconductivity and Magnetism (2 papers)Environmental Impact and Sustainability (2 papers)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Philipp C. Verpoort
11 papers receiving 250 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Electrical and Electronic Engineering 74
- Energy Engineering and Power Technology 59
- Materials Chemistry 57
- Mechanical Engineering 51
- Renewable Energy, Sustainability and the Environment 47
Countries citing papers authored by Philipp C. Verpoort
This map shows the geographic impact of Philipp C. Verpoort'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 Philipp C. Verpoort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp C. Verpoort more than expected).
Fields of papers citing papers by Philipp C. Verpoort
This network shows the impact of papers produced by Philipp C. Verpoort. 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 Philipp C. Verpoort. The network helps show where Philipp C. Verpoort may publish in the future.
Co-authorship network of co-authors of Philipp C. Verpoort
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp C. Verpoort. A scholar is included among the top collaborators of Philipp C. Verpoort based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philipp C. Verpoort. Philipp C. Verpoort is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 55 | |
| 4 | On the cost competitiveness of blue and green hydrogenbreakdown → | 99 |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 58 | |
| 11 | 3 | |
| 12 | 11 |
About Philipp C. Verpoort
Philipp C. Verpoort is a scholar working on Metals and Alloys, Energy Engineering and Power Technology and Renewable Energy, Sustainability and the Environment, having authored 12 papers that have together received 260 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Physics of Superconductivity and Magnetism (2 papers) and Environmental Impact and Sustainability (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (59 citations), General Energy (4 citations) and Catalysis (25 citations). Philipp C. Verpoort has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Falko Ueckerdt, G. J. Conduit, Paul M. Macdonald, Christian Bauer, Simon Roussanaly, Fiona J. Beck, Rahul Anantharaman, Thomas Longden, Alpha A. Lee and David J. Wales. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Energy.
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.