F.J.A. van Ruitenbeek

4.4k total citations · 2 hit papers
62 papers, 3.6k citations indexed

About

F.J.A. van Ruitenbeek is a scholar working on Artificial Intelligence, Media Technology and Mechanical Engineering. According to data from OpenAlex, F.J.A. van Ruitenbeek has authored 62 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 35 papers in Media Technology and 12 papers in Mechanical Engineering. Recurrent topics in F.J.A. van Ruitenbeek's work include Geochemistry and Geologic Mapping (57 papers), Remote-Sensing Image Classification (35 papers) and Mineral Processing and Grinding (12 papers). F.J.A. van Ruitenbeek is often cited by papers focused on Geochemistry and Geologic Mapping (57 papers), Remote-Sensing Image Classification (35 papers) and Mineral Processing and Grinding (12 papers). F.J.A. van Ruitenbeek collaborates with scholars based in Netherlands, South Africa and Australia. F.J.A. van Ruitenbeek's co-authors include F.D. van der Meer, H.M.A. van der Werff, C.A. Hecker, M. van der Meijde, Emmanuel John M. Carranza, T. Woldai, J.B. de Smeth, M. Noomen, W.H. Bakker and W.T. Bakker and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

F.J.A. van Ruitenbeek

59 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multi- and hyperspectral geologic remote sensing: A review

2011 870 citations F.D. van der Meer, H.M.A. van der Werff et al. International Journal of Applied Earth Observation and Geoinformation profile →
Multi - and hyperspectral geologic remote sensing : a review

2011 704 citations F.D. van der Meer, H.M.A. van der Werff et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
F.J.A. van Ruitenbeek Netherlands	25	2.4k	2.1k	917	588	377	62	3.6k
C.A. Hecker Netherlands	27	1.7k 0.7×	1.6k 0.8×	825 0.9×	352 0.6×	465 1.2×	69	3.2k
M. van der Meijde Netherlands	31	1.7k 0.7×	1.5k 0.7×	805 0.9×	415 0.7×	409 1.1×	106	4.2k
T. Woldai South Africa	18	1.4k 0.6×	1.3k 0.6×	625 0.7×	321 0.5×	277 0.7×	67	2.6k
Carlos Roberto de Souza Filho Brazil	38	1.8k 0.7×	1.3k 0.6×	1.1k 1.2×	379 0.6×	974 2.6×	185	4.8k
M. Noomen Netherlands	13	1.2k 0.5×	1.3k 0.6×	502 0.5×	227 0.4×	411 1.1×	20	2.1k
Thomas Cudahy Australia	26	1.6k 0.7×	1.0k 0.5×	673 0.7×	294 0.5×	183 0.5×	77	2.1k
H.M.A. van der Werff Netherlands	29	2.5k 1.0×	2.8k 1.4×	1.4k 1.5×	508 0.9×	1.3k 3.4×	103	5.4k
Keith E. Livo United States	12	1.1k 0.4×	1.1k 0.5×	439 0.5×	210 0.4×	557 1.5×	58	2.6k
Alok Porwal India	29	2.4k 1.0×	1.3k 0.6×	1.1k 1.2×	740 1.3×	127 0.3×	109	3.1k
J.B. de Smeth Netherlands	9	1.1k 0.5×	1.1k 0.6×	354 0.4×	212 0.4×	166 0.4×	11	1.8k

Countries citing papers authored by F.J.A. van Ruitenbeek

Since Specialization

Citations

This map shows the geographic impact of F.J.A. van Ruitenbeek'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 F.J.A. van Ruitenbeek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.J.A. van Ruitenbeek more than expected).

Fields of papers citing papers by F.J.A. van Ruitenbeek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.J.A. van Ruitenbeek. 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 F.J.A. van Ruitenbeek. The network helps show where F.J.A. van Ruitenbeek may publish in the future.

Co-authorship network of co-authors of F.J.A. van Ruitenbeek

This figure shows the co-authorship network connecting the top 25 collaborators of F.J.A. van Ruitenbeek. A scholar is included among the top collaborators of F.J.A. van Ruitenbeek 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 F.J.A. van Ruitenbeek. F.J.A. van Ruitenbeek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Werff, H.M.A. van der, et al.. (2024). The influence of changing moisture content on laboratory acquired spectral feature parameters and mineral classification. International Journal of Applied Earth Observation and Geoinformation. 130. 103884–103884.

Bakker, W.H., F.J.A. van Ruitenbeek, H.M.A. van der Werff, et al.. (2024). Hyperspectral Python: HypPy. Algorithms. 17(8). 337–337. 3 indexed citations

Hecker, C.A., et al.. (2023). Identifying and Quantifying Carbonate Minerals in Quartz–Illite–Muscovite-Dominated Reservoir Rocks With SWIR and LWIR Spectroscopies. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 2 indexed citations

Ruitenbeek, F.J.A. van, et al.. (2023). Multitechnique characterization of secondary minerals near HI-SEAS, Hawaii, as Martian subsurface analogues. Scientific Reports. 13(1). 22603–22603. 2 indexed citations

Ruitenbeek, F.J.A. van, et al.. (2022). Detection of Interlayered Illite/Smectite Clay Minerals with XRD, SEM Analyses and Reflectance Spectroscopy. Sensors. 22(9). 3602–3602. 20 indexed citations

Shahri, Abbas Abbaszadeh, et al.. (2022). Evaluation of the modified AHP-VIKOR for mapping and ranking copper mineralized areas, a case study from the Kerman metallogenic belt, SE Iran. Arabian Journal of Geosciences. 15(24). 8 indexed citations

Förster, Hans‐Jürgen, et al.. (2022). Performance of analytical techniques (SWIR imaging, XRD, EPMA) for the identification of minerals frequently formed during natural and technological geothermal processes. University of Twente Research Information. 5(1). 34–44. 1 indexed citations

Ruitenbeek, F.J.A. van, et al.. (2021). An Approach to Accuracy Assessment of ASTER Derived Mineral Maps. Remote Sensing. 13(13). 2499–2499. 5 indexed citations

Meijde, M. van der, et al.. (2021). Mineral Interpretation Discrepancies Identified between Infrared Reflectance Spectra and X-ray Diffractograms. Sensors. 21(20). 6924–6924. 8 indexed citations

10.

Hewson, R.D., et al.. (2020). Defining Surface Types of Mars Using Global CRISM Summary Product Maps. Journal of Geophysical Research Planets. 125(8). 12 indexed citations

11.

Hewson, R.D., H.M.A. van der Werff, C.A. Hecker, et al.. (2020). Status and Developments in Geological Remote Sensing. University of Twente Research Information. 25(3). 54–66. 4 indexed citations

12.

Buxton, Mike, et al.. (2015). Application of near-infrared (NIR) spectroscopy to sensor based sorting of an epithermal Au-Ag ore. 190–203.

13.

Woldai, T., et al.. (2014). Predictive mapping of prospectivity for orogenic gold in Uganda. Journal of African Earth Sciences. 99. 666–693. 24 indexed citations

14.

Buxton, Michael, et al.. (2014). Application of near-infrared spectroscopy to sensor based sorting of a porphyry copper ore. Minerals Engineering. 58. 7–16. 59 indexed citations

15.

Bakker, W.H., F.J.A. van Ruitenbeek, & H.M.A. van der Werff. (2011). Hyperspectral image mapping by automatic color coding of absorption features : abstract. Data Archiving and Networked Services (DANS). 56–57. 1 indexed citations

16.

Hecker, C.A., Simon J. Hook, M. van der Meijde, et al.. (2011). Thermal Infrared Spectrometer for Earth Science Remote Sensing Applications—Instrument Modifications and Measurement Procedures. Sensors. 11(11). 10981–10999. 43 indexed citations

17.

Ruitenbeek, F.J.A. van, H.M.A. van der Werff, Kim A.A. Hein, & F.D. van der Meer. (2008). Detection of pre-defined boundaries between hydrothermal alteration zones using rotation-variant template matching. Computers & Geosciences. 34(12). 1815–1826. 9 indexed citations

18.

Choe, Eunyoung, et al.. (2008). Mapping of heavy metal pollution in stream sediments using combined geochemistry, field spectroscopy, and hyperspectral remote sensing: A case study of the Rodalquilar mining area, SE Spain. Remote Sensing of Environment. 112(7). 3222–3233. 247 indexed citations

19.

Werff, H.M.A. van der, F.J.A. van Ruitenbeek, Tanja Zegers, & F.D. van der Meer. (2007). Geologic mapping on mars by segmentation of omega data. University of Twente Research Information. 3 indexed citations

20.

Werff, H.M.A. van der, F.J.A. van Ruitenbeek, & F.D. van der Meer. (2007). Geological mapping on Mars by segmentation of hyperspectral OMEGA data. University of Twente Research Information. 2811–2813. 3 indexed citations

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.

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