Tim Segers
- Biomedical Engineering top 2%
- Ultrasound and Hyperthermia Applications 29
- Photoacoustic and Ultrasonic Imaging 21
- Innovative Microfluidic and Catalytic Techniques Innovation 9
- Microfluidic and Bio-sensing Technologies 9
- Materials Chemistry top 10%
- Ultrasound and Cavitation Phenomena 28
- Surfaces, Coatings and Films top 10%
- Computational Mechanics top 5%
- Fluid Dynamics and Heat Transfer 8
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- Electrohydrodynamics and Fluid Dynamics 9
- Nanomaterials and Printing Technologies 9
- Co-authors
- Michel VersluisPeter FrinkingGuillaume LajoinieEleanor StrideYing LuanFrançois TranquartNico de JongDetlef Lohse
- Journals
- Ultrasound in Medicine & Biology (6 papers)Physical Review Applied (5 papers)The Journal of the Acoustical Society of America (5 papers)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Tim Segers
52 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Biomedical Engineering 1.3k
- Materials Chemistry 732
- Radiology, Nuclear Medicine and Imaging 245
- Surfaces, Coatings and Films 62
- Computational Mechanics 169
Countries citing papers authored by Tim Segers
This map shows the geographic impact of Tim Segers'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 Tim Segers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Segers more than expected).
Fields of papers citing papers by Tim Segers
This network shows the impact of papers produced by Tim Segers. 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 Tim Segers. The network helps show where Tim Segers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tim Segers, 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 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 3 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 15 | |
| 15 | 2021 | 35 | |
| 16 | 2021 | 16 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 39 | |
| 19 | 2020 | 150 | |
| 20 | 2019 | 20 |
About Tim Segers
Tim Segers is a scholar working on Biomedical Engineering, Materials Chemistry and Surfaces, Coatings and Films, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (29 papers), Ultrasound and Cavitation Phenomena (28 papers), Photoacoustic and Ultrasonic Imaging (21 papers), Innovative Microfluidic and Catalytic Techniques Innovation (9 papers), Electrohydrodynamics and Fluid Dynamics (9 papers), Nanomaterials and Printing Technologies (9 papers), Microfluidic and Bio-sensing Technologies (9 papers) and Fluid Dynamics and Heat Transfer (8 papers). The work is most often cited by research in Biomedical Engineering (1.3k citations), Materials Chemistry (732 citations) and Radiology, Nuclear Medicine and Imaging (245 citations). Tim Segers has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Michel Versluis, Peter Frinking, Guillaume Lajoinie, Eleanor Stride, Ying Luan, François Tranquart, Nico de Jong, Detlef Lohse, Mark A. Borden and Emmanuel Gaud. Their work appears in journals such as Ultrasound in Medicine & Biology, Physical Review Applied, The Journal of the Acoustical Society of America, Langmuir and Applied Physics 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.