Peter Bjørn Jørgensen
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Co-authors
- Mikkel N. SchmidtArghya BhowmikTejs VeggeOle WintherAki VehtariAnnika StukePatrick RinkeKunal Ghosh
- Topics
- Machine Learning in Materials Science (16 papers)Computational Drug Discovery Methods (9 papers)Sparse and Compressive Sensing Techniques (2 papers)
- Partner nations
- DenmarkSwitzerlandGermany
In The Last Decade
Peter Bjørn Jørgensen
23 papers receiving 958 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Materials Chemistry 509
- Electrical and Electronic Engineering 473
- Automotive Engineering 268
- Computational Theory and Mathematics 206
- Molecular Biology 92
Countries citing papers authored by Peter Bjørn Jørgensen
This map shows the geographic impact of Peter Bjørn Jørgensen'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 Peter Bjørn Jørgensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bjørn Jørgensen more than expected).
Fields of papers citing papers by Peter Bjørn Jørgensen
This network shows the impact of papers produced by Peter Bjørn Jørgensen. 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 Peter Bjørn Jørgensen. The network helps show where Peter Bjørn Jørgensen may publish in the future.
Co-authorship network of co-authors of Peter Bjørn Jørgensen
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Bjørn Jørgensen. A scholar is included among the top collaborators of Peter Bjørn Jørgensen 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 Peter Bjørn Jørgensen. Peter Bjørn Jørgensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 22 | |
| 8 | 26 | |
| 9 | 2 | |
| 10 | 37 | |
| 11 | 16 | |
| 12 | Artificial Intelligence Applied to Battery Research: Hype or Reality?breakdown → | 339 |
| 13 | 8 | |
| 14 | 190 | |
| 15 | 12 | |
| 16 | 10 | |
| 17 | 26 | |
| 18 | 9 | |
| 19 | 8 | |
| 20 | 5 |
About Peter Bjørn Jørgensen
Peter Bjørn Jørgensen is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Surfaces, Coatings and Films, having authored 24 papers that have together received 985 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (16 papers), Computational Drug Discovery Methods (9 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Automotive Engineering (268 citations), Computational Theory and Mathematics (206 citations) and Materials Chemistry (509 citations). Peter Bjørn Jørgensen has collaborated with scholars based in Denmark, Switzerland and Germany. Frequent co-authors include Mikkel N. Schmidt, Arghya Bhowmik, Tejs Vegge, Ole Winther, Aki Vehtari, Annika Stuke, Patrick Rinke, Kunal Ghosh, Milica Todorović and Karsten W. Jacobsen. Their work appears in journals such as Chemical Reviews, The Journal of Chemical Physics and Journal of Materials Chemistry A.
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.