Piet Daas
Impact in
- Food Science top 2%
- Polysaccharides Composition and Applications
- Proteins in Food Systems
- Plant Science top 5%
- Polysaccharides and Plant Cell Walls
Papers in
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- Polysaccharides and Plant Cell Walls 9
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- Data Quality and Management 9
- Co-authors
- Henk A. Schols (10 shared papers)Alphons G. J. Voragen (5 shared papers)Harmen H. J. de Jongh (2 shared papers)Gerhard A. De Ruiter (2 shared papers)Jan T. Keltjens (8 shared papers)Godfried D. Vogels (6 shared papers)Chris van der Drift (6 shared papers)Peter Struijs (2 shared papers)
- Journals
- Carbohydrate Research (3 papers)Biopolymers (2 papers)Journal of Biological Chemistry (2 papers)Journal of Bacteriology (2 papers)Journal of Agricultural and Food Chemistry (1 paper)
- Partner nations
- NetherlandsGermanyBelgium
In The Last Decade
Piet Daas
38 papers receiving 997 citations
Peers
Comparison fields: 5 of 121
- Food Science 349
- Plant Science 452
- Transportation 56
- Nutrition and Dietetics 118
- Statistics and Probability 62
Countries citing papers authored by Piet Daas
This map shows the geographic impact of Piet Daas'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 Piet Daas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piet Daas more than expected).
Fields of papers citing papers by Piet Daas
This network shows the impact of papers produced by Piet Daas. 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 Piet Daas. The network helps show where Piet Daas may publish in the future.
Co-authors
The 25 scholars most cited alongside Piet Daas, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 145 | |
| 2 | 2000 | 105 | |
| 3 | 2000 | 86 | |
| 4 | 1998 | 74 | |
| 5 | 2015 | 71 | |
| 6 | 2014 | 68 | |
| 7 | 2002 | 48 | |
| 8 | 2000 | 39 | |
| 9 | 1996 | 37 | |
| 10 | 2000 | 36 | |
| 11 | 1992 | 34 | |
| 12 | 1996 | 32 | |
| 13 | 1993 | 28 | |
| 14 | 2011 | 22 | |
| 15 | 1996 | 21 | |
| 16 | 1994 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 1999 | 19 | |
| 19 | Social media as a data source for official statistics; the Dutch Consumer Confidence Index | 2017 | 15 |
| 20 | 2013 | 12 |
About Piet Daas
Piet Daas is a scholar working on Plant Science, Management Science and Operations Research, Molecular Biology, Food Science and Information Systems and Management, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (9 papers), Data Quality and Management (9 papers), Polysaccharides Composition and Applications (7 papers), Porphyrin Metabolism and Disorders (7 papers), Data-Driven Disease Surveillance (5 papers), Big Data Technologies and Applications (5 papers), Folate and B Vitamins Research (4 papers) and Census and Population Estimation (4 papers). The work is most often cited by research in Food Science (349 citations), Plant Science (452 citations), Transportation (56 citations), Nutrition and Dietetics (118 citations) and Statistics and Probability (62 citations). Piet Daas has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Henk A. Schols, Alphons G. J. Voragen, Harmen H. J. de Jongh, Gerhard A. De Ruiter, Jan T. Keltjens, Godfried D. Vogels, Chris van der Drift, Peter Struijs, Bart Buelens and Peter W. Arisz. Their work appears in journals such as Carbohydrate Research, Biopolymers, Journal of Biological Chemistry, Journal of Bacteriology and Journal of Agricultural and Food Chemistry.
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.