M. de Wit
Impact in
- Food Science top 5%
- Proteins in Food Systems
- Nutrition and Dietetics top 5%
- Food composition and properties
Papers in
-
- Superconducting and THz Device Technology 14
-
- Physics of Superconductivity and Magnetism 9
- Co-authors
- Maarten A.I. Schutyser (10 shared papers)Remko M. Boom (7 shared papers)Qinhui Xing (3 shared papers)Konstantina Kyriakopoulou (3 shared papers)Jue Wang (3 shared papers)Jue Wang (1 shared paper)Arno C. Alting (1 shared paper)E. Taralli (16 shared papers)
- Journals
- Journal of Low Temperature Physics (6 papers)Innovative Food Science & Emerging Technologies (4 papers)Review of Scientific Instruments (3 papers)IEEE Transactions on Applied Superconductivity (3 papers)Physical Review Applied (3 papers)
- Partner nations
- NetherlandsFinlandJapan
In The Last Decade
M. de Wit
26 papers receiving 584 citations
Peers
Comparison fields: 5 of 77
- Food Science 247
- Nutrition and Dietetics 166
- Physiology 45
- Industrial and Manufacturing Engineering 74
- Automotive Engineering 63
Countries citing papers authored by M. de Wit
This map shows the geographic impact of M. de Wit'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 M. de Wit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. de Wit more than expected).
Fields of papers citing papers by M. de Wit
This network shows the impact of papers produced by M. de Wit. 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 M. de Wit. The network helps show where M. de Wit may publish in the future.
Co-authors
The 25 scholars most cited alongside M. de Wit, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2018 | 77 | |
| 3 | 2020 | 73 | |
| 4 | 2017 | 58 | |
| 5 | 2016 | 54 | |
| 6 | 2014 | 53 | |
| 7 | 2015 | 53 | |
| 8 | 2020 | 25 | |
| 9 | 2019 | 22 | |
| 10 | 2020 | 20 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2015 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2019 | 3 |
About M. de Wit
M. de Wit is a scholar working on Astronomy and Astrophysics, Condensed Matter Physics, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics, having authored 31 papers that have together received 593 indexed citations. Recurring topics across this work include Superconducting and THz Device Technology (14 papers), Physics of Superconductivity and Magnetism (9 papers), Particle Detector Development and Performance (5 papers), Thermal Radiation and Cooling Technologies (4 papers), Food composition and properties (4 papers), Mechanical and Optical Resonators (4 papers), Proteins in Food Systems (4 papers) and Recycling and Waste Management Techniques (3 papers). The work is most often cited by research in Food Science (247 citations), Nutrition and Dietetics (166 citations), Physiology (45 citations), Industrial and Manufacturing Engineering (74 citations) and Automotive Engineering (63 citations). M. de Wit has collaborated with scholars based in Netherlands, Finland and Japan. Frequent co-authors include Maarten A.I. Schutyser, Remko M. Boom, Qinhui Xing, Konstantina Kyriakopoulou, Jue Wang, Jue Wang, Jue Wang, Arno C. Alting, E. Taralli and L. Gottardi. Their work appears in journals such as Journal of Low Temperature Physics, Innovative Food Science & Emerging Technologies, Review of Scientific Instruments, IEEE Transactions on Applied Superconductivity and Physical Review Applied.
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.