Jenni Pippuri-Mäkeläinen
- Automotive Engineering top 5%
- Electric and Hybrid Vehicle Technologies 9
- Advanced Battery Technologies Research 6
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- Magnetic Properties and Applications 15
- Mechanical Engineering top 10%
- Additive Manufacturing Materials and Processes 6
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- Electric Motor Design and Analysis 22
- Electric Vehicles and Infrastructure 8
- Electromagnetic Simulation and Numerical Methods 7
- Control and Systems Engineering top 10%
- Magnetic Bearings and Levitation Dynamics 8
Jenni Pippuri-Mäkeläinen
47 papers receiving 614 citations
Peers
Comparison fields: 5 of 63
- Automotive Engineering 173
- Electronic, Optical and Magnetic Materials 219
- Mechanical Engineering 278
- Electrical and Electronic Engineering 397
- Control and Systems Engineering 133
Countries citing papers authored by Jenni Pippuri-Mäkeläinen
This map shows the geographic impact of Jenni Pippuri-Mäkeläinen'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 Jenni Pippuri-Mäkeläinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenni Pippuri-Mäkeläinen more than expected).
Fields of papers citing papers by Jenni Pippuri-Mäkeläinen
This network shows the impact of papers produced by Jenni Pippuri-Mäkeläinen. 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 Jenni Pippuri-Mäkeläinen. The network helps show where Jenni Pippuri-Mäkeläinen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jenni Pippuri-Mäkeläinen, 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 | 2024 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2020 | 37 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 56 | |
| 10 | Topology optimized soft magnetic cores by laser powder bed fusion | 2019 | 2 |
| 11 | 2018 | 76 | |
| 12 | 2017 | 13 | |
| 13 | 3D Printing of Soft Magnetic Cores For Electrical Machines | 2016 | 3 |
| 14 | 2016 | 32 | |
| 15 | Manufacturing of topology optimized soft magnetic core through 3D printing | 2016 | 20 |
| 16 | 2015 | 9 | |
| 17 | 2011 | 5 | |
| 18 | 2011 | 48 | |
| 19 | 2008 | 13 | |
| 20 | 2006 | 2 |
About Jenni Pippuri-Mäkeläinen
Jenni Pippuri-Mäkeläinen is a scholar working on Automotive Engineering, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 49 papers that have together received 656 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (22 papers), Magnetic Properties and Applications (15 papers), Electric and Hybrid Vehicle Technologies (9 papers), Magnetic Bearings and Levitation Dynamics (8 papers), Electric Vehicles and Infrastructure (8 papers), Electromagnetic Simulation and Numerical Methods (7 papers), Additive Manufacturing Materials and Processes (6 papers) and Advanced Battery Technologies Research (6 papers). The work is most often cited by research in Automotive Engineering (173 citations), Electronic, Optical and Magnetic Materials (219 citations) and Mechanical Engineering (278 citations). Jenni Pippuri-Mäkeläinen has collaborated with scholars based in Finland, Slovenia and India. Frequent co-authors include Antero Arkkio, Kari Tammi, Anouar Belahcen, Janne Keränen, Emad Dlala, Tomi Lindroos, Sini Metsä-Kortelainen, Antti Lajunen, Tuomas Riipinen and Lasse Laurila. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Environmental Research 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.