Jimmy Lätt
- Computational Mathematics top 2%
-
- Advanced Neuroimaging Techniques and Applications 51
- Advanced MRI Techniques and Applications 34
- MRI in cancer diagnosis 26
- Radiomics and Machine Learning in Medical Imaging 5
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- Bone and Joint Diseases 12
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 9
- Genetics top 5%
- Glioma Diagnosis and Treatment 15
-
- Systemic Lupus Erythematosus Research 7
- Co-authors
- Markus NilssonFreddy StåhlbergDanielle van WestenSara BrockstedtPia C. SundgrenRonnie WirestamElisabet EnglundFilip Szczepankiewicz
- Cited by
- Computational MathematicsRadiology, Nuclear Medicine and ImagingOrthopedics and Sports Medicine
- Journals
- PLoS ONE (9 papers)Magnetic Resonance in Medicine (7 papers)Magnetic Resonance Imaging (5 papers)
- Partner nations
- SwedenUnited StatesNetherlands
In The Last Decade
Jimmy Lätt
82 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 117
- Computational Mathematics 59
- Radiology, Nuclear Medicine and Imaging 2.1k
- Orthopedics and Sports Medicine 401
- Neurology 319
- Genetics 193
Countries citing papers authored by Jimmy Lätt
This map shows the geographic impact of Jimmy Lätt'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 Jimmy Lätt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimmy Lätt more than expected).
Fields of papers citing papers by Jimmy Lätt
This network shows the impact of papers produced by Jimmy Lätt. 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 Jimmy Lätt. The network helps show where Jimmy Lätt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jimmy Lätt, 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 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 2 | |
| 10 | 2019 | 69 | |
| 11 | 2018 | 22 | |
| 12 | 2017 | 35 | |
| 13 | 2015 | 38 | |
| 14 | 2013 | 15 | |
| 15 | 2013 | 28 | |
| 16 | 2013 | 39 | |
| 17 | 2011 | 103 | |
| 18 | Search for Unstable Periodic Orbits in the Navier-Stokes Equations | 2008 | 3 |
| 19 | 2007 | 29 | |
| 20 | 2007 | 36 |
About Jimmy Lätt
Jimmy Lätt is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics and Genetics, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (51 papers), Advanced MRI Techniques and Applications (34 papers), MRI in cancer diagnosis (26 papers), Glioma Diagnosis and Treatment (15 papers), Bone and Joint Diseases (12 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Systemic Lupus Erythematosus Research (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Computational Mathematics (59 citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Orthopedics and Sports Medicine (401 citations). Jimmy Lätt has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Markus Nilsson, Freddy Ståhlberg, Danielle van Westen, Sara Brockstedt, Pia C. Sundgren, Ronnie Wirestam, Elisabet Englund, Filip Szczepankiewicz, Daniel Topgaard and Samo Lasič. Their work appears in journals such as PLoS ONE, Magnetic Resonance in Medicine, Magnetic Resonance Imaging, NeuroImage and Acta Radiologica.
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.