G. Polder
- Plant Science top 1%
- Analytical Chemistry top 0.2%
- Ecology top 5%
- Biomedical Engineering
- Food Science top 5%
- Co-authors
- G.W.A.M. van der HeijdenIan YoungGerie W.A.M. van der HeijdenMatheus Thomas KuśkaJan BehmannAnne‐Katrin MahleinAchim WalterPieter M. Blok
- Topics
- Smart Agriculture and AI (34 papers)Spectroscopy and Chemometric Analyses (28 papers)Remote Sensing in Agriculture (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaTrends in Plant SciencePlant Cell & Environment
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
G. Polder
71 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Plant Science 1.5k
- Analytical Chemistry 952
- Ecology 595
- Biomedical Engineering 237
- Food Science 162
Countries citing papers authored by G. Polder
This map shows the geographic impact of G. Polder'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 G. Polder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Polder more than expected).
Fields of papers citing papers by G. Polder
This network shows the impact of papers produced by G. Polder. 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 G. Polder. The network helps show where G. Polder may publish in the future.
Co-authorship network of co-authors of G. Polder
This figure shows the co-authorship network connecting the top 25 collaborators of G. Polder. A scholar is included among the top collaborators of G. Polder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Polder. G. Polder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 21 | |
| 13 | 149 | |
| 14 | 6 | |
| 15 | An ImageJ plugin for plant variety testing | 4 |
| 16 | PhenoBot - a robot system for phenotyping large tomato plants in the greenhouse using a 3D light field camera | 3 |
| 17 | 19 | |
| 18 | 40 | |
| 19 | Hyperspectral image analysis for measuring ripeness of tomatoes. | 25 |
| 20 | ASYST software for a PC-controlled NMR spectrometer. | 5 |
About G. Polder
G. Polder is a scholar working on Analytical Chemistry, Plant Science and Ecology, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (34 papers), Spectroscopy and Chemometric Analyses (28 papers) and Remote Sensing in Agriculture (24 papers). The work is most often cited by research in Analytical Chemistry (952 citations), Plant Science (1.5k citations) and Biophysics (150 citations). G. Polder has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include G.W.A.M. van der Heijden, Ian Young, Gerie W.A.M. van der Heijden, Matheus Thomas Kuśka, Jan Behmann, Anne‐Katrin Mahlein, Achim Walter, Pieter M. Blok, Puneet Mishra and J.M. van der Wolf. Their work appears in journals such as SHILAP Revista de lepidopterología, Trends in Plant Science and Plant Cell & Environment.
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.