Meiert W. Grootes

4.5k total citations
24 papers, 502 citations indexed

About

Meiert W. Grootes is a scholar working on Astronomy and Astrophysics, Ecology and Instrumentation. According to data from OpenAlex, Meiert W. Grootes has authored 24 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Astronomy and Astrophysics, 6 papers in Ecology and 6 papers in Instrumentation. Recurrent topics in Meiert W. Grootes's work include Galaxies: Formation, Evolution, Phenomena (15 papers), Stellar, planetary, and galactic studies (9 papers) and Astronomy and Astrophysical Research (6 papers). Meiert W. Grootes is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (15 papers), Stellar, planetary, and galactic studies (9 papers) and Astronomy and Astrophysical Research (6 papers). Meiert W. Grootes collaborates with scholars based in Netherlands, United Kingdom and Australia. Meiert W. Grootes's co-authors include Benne W. Holwerda, Francesco Nattino, M. J. I. Brown, Mehmet Alpaslan, A. S. G. Robotham, L. J. M. Davies, Christoph Weniger, Simon P. Driver, Sarah Brough and B. Miller and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Ecography and Diversity and Distributions.

In The Last Decade

Meiert W. Grootes

22 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiert W. Grootes Netherlands 13 394 220 68 50 42 24 502
Álvaro Orsi Spain 19 948 2.4× 495 2.3× 69 1.0× 18 0.4× 188 4.5× 35 1.0k
Benoît Tremblay United States 10 205 0.5× 74 0.3× 45 0.7× 22 0.4× 24 0.6× 22 325
J. L. Fischer United States 7 317 0.8× 199 0.9× 44 0.6× 6 0.1× 21 0.5× 7 366
H. J. Dickinson United Kingdom 8 147 0.4× 55 0.3× 35 0.5× 5 0.1× 32 0.8× 28 244
F. Yuan Australia 13 396 1.0× 42 0.2× 28 0.4× 24 0.5× 137 3.3× 42 483
A. M. Varela Spain 11 210 0.5× 98 0.4× 34 0.5× 13 0.3× 12 0.3× 39 452
Julie Banfield Australia 16 603 1.5× 100 0.5× 21 0.3× 18 0.4× 272 6.5× 28 650
Marina Vika United Kingdom 13 636 1.6× 396 1.8× 87 1.3× 5 0.1× 52 1.2× 16 663
Jeff Secker Canada 10 185 0.5× 74 0.3× 52 0.8× 28 0.6× 2 0.0× 24 313
Andrej Dvornik Netherlands 13 451 1.1× 206 0.9× 29 0.4× 4 0.1× 94 2.2× 26 510

Countries citing papers authored by Meiert W. Grootes

Since Specialization
Citations

This map shows the geographic impact of Meiert W. Grootes'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 Meiert W. Grootes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiert W. Grootes more than expected).

Fields of papers citing papers by Meiert W. Grootes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meiert W. Grootes. 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 Meiert W. Grootes. The network helps show where Meiert W. Grootes may publish in the future.

Co-authorship network of co-authors of Meiert W. Grootes

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

All Works

20 of 20 papers shown
1.
Grootes, Meiert W., et al.. (2023). CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes. University of Twente Research Information.
2.
Coogan, Adam, et al.. (2023). The effect of the perturber population on subhalo measurements in strong gravitational lenses. Monthly Notices of the Royal Astronomical Society. 527(1). 66–78. 11 indexed citations
3.
Nattino, Francesco, et al.. (2022). CGC: a Scalable Python Package for Co- andTri-Clustering of Geodata Cubes. The Journal of Open Source Software. 7(72). 4032–4032. 1 indexed citations
4.
Koma, Zsófia, A.C. Seijmonsbergen, Meiert W. Grootes, et al.. (2022). Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds. Diversity and Distributions. 28(4). 685–699. 17 indexed citations
5.
Kissling, W. Daniel, Yifang Shi, Zsófia Koma, et al.. (2022). Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey. Data in Brief. 46. 108798–108798. 12 indexed citations
6.
Cole, Alex, B. Miller, Samuel J. Witte, et al.. (2022). Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation. Journal of Cosmology and Astroparticle Physics. 2022(9). 4–4. 37 indexed citations
7.
Miller, B., et al.. (2022). swyft: Truncated Marginal Neural Ratio Estimation inPython. The Journal of Open Source Software. 7(75). 4205–4205. 21 indexed citations
8.
Davies, L. J. M., Jessica E Thorne, Sabine Bellstedt, et al.. (2021). Deep Extragalactic VIsible Legacy Survey (DEVILS): evolution of the σSFR–M⋆ relation and implications for self-regulated star formation. Monthly Notices of the Royal Astronomical Society. 509(3). 4392–4410. 12 indexed citations
9.
Koma, Zsófia, Meiert W. Grootes, Christiaan Meijer, et al.. (2021). Niche separation of wetland birds revealed from airborne laser scanning. Ecography. 44(6). 907–918. 12 indexed citations
10.
Meijer, Christiaan, Meiert W. Grootes, Zsófia Koma, et al.. (2020). Laserchicken—A tool for distributed feature calculation from massive LiDAR point cloud datasets. SoftwareX. 12. 100626–100626. 21 indexed citations
11.
Popescu, C. C., Richard J. Tuffs, Giovanni Natale, et al.. (2020). A radiative transfer model for the spiral galaxy M33★. Monthly Notices of the Royal Astronomical Society. 495(1). 835–863. 13 indexed citations
12.
Pearson, William, Lingyu Wang, Mehmet Alpaslan, et al.. (2019). Effect of galaxy mergers on star-formation rates. Springer Link (Chiba Institute of Technology). 74 indexed citations
13.
Phillipps, S., M. N. Bremer, Roberto De Propris, et al.. (2019). Galaxy And Mass Assembly (GAMA): Defining passive galaxy samples and searching for the UV upturn. Monthly Notices of the Royal Astronomical Society. 492(2). 2128–2139. 8 indexed citations
14.
Davies, L. J. M., Claudia del P. Lagos, Antonios Katsianis, et al.. (2018). Galaxy And Mass Assembly (GAMA): The sSFR-M* relation part I – σsSFR-M* as a function of sample, SFR indicator and environment. Monthly Notices of the Royal Astronomical Society. 42 indexed citations
15.
Treyer, M., Katarina Kraljic, S. Arnouts, et al.. (2018). Group quenching and galactic conformity at low redshift. Monthly Notices of the Royal Astronomical Society. 477(2). 2684–2704. 19 indexed citations
16.
Grootes, Meiert W., Andrej Dvornik, R. J. Laureijs, et al.. (2018). Galaxy And Mass Assembly (GAMA): gas fuelling of spiral galaxies in the local Universe II. – direct measurement of the dependencies on redshift and host halo mass of stellar mass growth in central disc galaxies. Monthly Notices of the Royal Astronomical Society. 477(1). 1015–1034. 6 indexed citations
17.
Alpaslan, Mehmet, Meiert W. Grootes, Pamela M. Marcum, et al.. (2016). Galaxy And Mass Assembly (GAMA): stellar mass growth of spiral galaxies in the cosmic web. Monthly Notices of the Royal Astronomical Society. 457(3). 2287–2300. 61 indexed citations
18.
Natale, Giovanni, C. C. Popescu, Richard J. Tuffs, et al.. (2015). Predicting the stellar and non-equilibrium dust emission spectra of high-resolution simulated galaxies with dart-ray. Monthly Notices of the Royal Astronomical Society. 449(1). 243–267. 25 indexed citations
19.
Natale, Giovanni, C. C. Popescu, Richard J. Tuffs, Victor P. Debattista, & Meiert W. Grootes. (2014). High-resolution 3D dust radiative transfer in galaxies with DART-Ray. Proceedings of the International Astronomical Union. 10(S309). 333–333.
20.
Grootes, Meiert W., R. J. Tuffs, C. C. Popescu, et al.. (2013). Non-parametric cell-based photometric proxies for galaxy morphology: methodology and application to the morphologically defined star formation–stellar mass relation of spiral galaxies in the local universe. Monthly Notices of the Royal Astronomical Society. 437(4). 3883–3917. 6 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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