Jussi Schultz
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 10%
- Radiology, Nuclear Medicine and Imaging
- Cardiology and Cardiovascular Medicine
- Co-authors
- Teiko HeinosaariAlessandro ToigoJukka KiukasPekka LahtiClaudio CarmeliDaniel ReitznerMário ZimanJuha-Pekka Pellonpää
- Topics
- Quantum Information and Cryptography (16 papers)Quantum Mechanics and Applications (12 papers)Cardiac Imaging and Diagnostics (7 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Partner nations
- FinlandItalyNetherlands
In The Last Decade
Jussi Schultz
29 papers receiving 268 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 200
- Atomic and Molecular Physics, and Optics 190
- Statistical and Nonlinear Physics 42
- Radiology, Nuclear Medicine and Imaging 34
- Cardiology and Cardiovascular Medicine 19
Countries citing papers authored by Jussi Schultz
This map shows the geographic impact of Jussi Schultz'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 Jussi Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jussi Schultz more than expected).
Fields of papers citing papers by Jussi Schultz
This network shows the impact of papers produced by Jussi Schultz. 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 Jussi Schultz. The network helps show where Jussi Schultz may publish in the future.
Co-authorship network of co-authors of Jussi Schultz
This figure shows the co-authorship network connecting the top 25 collaborators of Jussi Schultz. A scholar is included among the top collaborators of Jussi Schultz 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 Jussi Schultz. Jussi Schultz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 17 | |
| 13 | 31 | |
| 14 | 13 | |
| 15 | 16 | |
| 16 | 2 | |
| 17 | 31 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | Modeling of Electromagnetic Fields in High Speed Electronic Interconnects Using a Least Squares FD-TD Algorithm | 2 |
About Jussi Schultz
Jussi Schultz is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 274 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (16 papers), Quantum Mechanics and Applications (12 papers) and Cardiac Imaging and Diagnostics (7 papers). The work is most often cited by research in Artificial Intelligence (200 citations), Atomic and Molecular Physics, and Optics (190 citations) and Statistical and Nonlinear Physics (42 citations). Jussi Schultz has collaborated with scholars based in Finland, Italy and Netherlands. Frequent co-authors include Teiko Heinosaari, Alessandro Toigo, Jukka Kiukas, Pekka Lahti, Claudio Carmeli, Daniel Reitzner, Mário Ziman, Juha-Pekka Pellonpää, Antti Saraste and Reinhard F. Werner. Their work appears in journals such as Physical Review Letters, JNCI Journal of the National Cancer Institute and Scientific Reports.
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.