Jan Lundgren
Impact in
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- Speech and Audio Processing
- Music and Audio Processing
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- Advanced Neural Network Applications
Papers in
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- Speech and Audio Processing 10
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- VLSI and FPGA Design Techniques 5
- Low-power high-performance VLSI design 4
- Co-authors
- Mattias O’Nils (22 shared papers)Thanh Tran (4 shared papers)Paolo Sommella (8 shared papers)Marco Carratù (17 shared papers)Consolatina Liguori (13 shared papers)Mazhar Hussain (4 shared papers)Antonio Pietrosanto (7 shared papers)Nhat Truong Pham (2 shared papers)
In The Last Decade
Jan Lundgren
45 papers receiving 386 citations
Peers
Comparison fields: 5 of 95
- Signal Processing 46
- Computer Vision and Pattern Recognition 76
- Oncology 80
- Industrial and Manufacturing Engineering 29
- Artificial Intelligence 86
Countries citing papers authored by Jan Lundgren
This map shows the geographic impact of Jan Lundgren'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 Jan Lundgren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Lundgren more than expected).
Fields of papers citing papers by Jan Lundgren
This network shows the impact of papers produced by Jan Lundgren. 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 Jan Lundgren. The network helps show where Jan Lundgren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Lundgren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2019 | 63 | |
| 3 | 2022 | 51 | |
| 4 | 2022 | 22 | |
| 5 | 2020 | 21 | |
| 6 | 2024 | 19 | |
| 7 | 2022 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2019 | 9 | |
| 12 | A HYDROELASTIC INVESTIGATION INTO THE BEHAVIOUR OF A FLOATING 'DRY' DOCK IN WAVES | 1989 | 8 |
| 13 | 1991 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2006 | 5 | |
| 20 | 1982 | 4 |
About Jan Lundgren
Jan Lundgren is a scholar working on Signal Processing, Electrical and Electronic Engineering, Computational Mechanics, Ocean Engineering and Artificial Intelligence, having authored 50 papers that have together received 405 indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Cutaneous Melanoma Detection and Management (6 papers), AI in cancer detection (6 papers), Advanced Adaptive Filtering Techniques (5 papers), VLSI and FPGA Design Techniques (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Ship Hydrodynamics and Maneuverability (4 papers) and Low-power high-performance VLSI design (4 papers). The work is most often cited by research in Signal Processing (46 citations), Computer Vision and Pattern Recognition (76 citations), Oncology (80 citations), Industrial and Manufacturing Engineering (29 citations) and Artificial Intelligence (86 citations). Jan Lundgren has collaborated with scholars based in Sweden, Italy and Norway. Frequent co-authors include Mattias O’Nils, Thanh Tran, Paolo Sommella, Marco Carratù, Consolatina Liguori, Mazhar Hussain, Antonio Pietrosanto, Nhat Truong Pham, Seyed Jalaleddin Mousavirad and Christian Ritz. Their work appears in journals such as Sensors, IEEE Access, Measurement, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and The Journal of the Acoustical Society of America.
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.