P. Groot

80.8k total citations
242 papers, 3.6k citations indexed

About

P. Groot is a scholar working on Astronomy and Astrophysics, Instrumentation and Artificial Intelligence. According to data from OpenAlex, P. Groot has authored 242 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Astronomy and Astrophysics, 48 papers in Instrumentation and 34 papers in Artificial Intelligence. Recurrent topics in P. Groot's work include Stellar, planetary, and galactic studies (100 papers), Astrophysical Phenomena and Observations (83 papers) and Gamma-ray bursts and supernovae (76 papers). P. Groot is often cited by papers focused on Stellar, planetary, and galactic studies (100 papers), Astrophysical Phenomena and Observations (83 papers) and Gamma-ray bursts and supernovae (76 papers). P. Groot collaborates with scholars based in Netherlands, United States and United Kingdom. P. Groot's co-authors include G. Nelemans, D. Steeghs, T. R. Marsh, G. H. A. Roelofs, J. van Paradijs, C. Knigge, Tom Heskes, Thomas Kupfer, Elena M. Rossi and C. Kouveliotou and has published in prestigious journals such as Nature, PLoS ONE and Journal of Applied Physics.

In The Last Decade

P. Groot

224 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Groot Netherlands 30 2.9k 551 381 201 182 242 3.6k
M. J. Graham United States 29 2.8k 0.9× 594 1.1× 539 1.4× 48 0.2× 108 0.6× 167 3.4k
W. H. Jefferys United States 23 2.0k 0.7× 375 0.7× 197 0.5× 52 0.3× 171 0.9× 108 2.9k
Zheng Zheng United States 36 4.2k 1.4× 1.9k 3.4× 792 2.1× 16 0.1× 120 0.7× 126 4.6k
G. B. Rybicki United States 28 2.3k 0.8× 290 0.5× 382 1.0× 188 0.9× 51 0.3× 79 3.1k
Jake Vanderplas United States 14 981 0.3× 278 0.5× 194 0.5× 46 0.2× 184 1.0× 23 1.7k
Andrea Possenti Italy 45 7.4k 2.5× 204 0.4× 1.9k 5.1× 1.1k 5.3× 65 0.4× 246 8.1k
Ashley T. Barnes United States 36 3.8k 1.3× 90 0.2× 346 0.9× 109 0.5× 78 0.4× 160 4.8k
Hiroyasu Ando Japan 33 2.6k 0.9× 974 1.8× 298 0.8× 69 0.3× 62 0.3× 133 3.1k
A. C. Becker United States 24 1.9k 0.6× 554 1.0× 365 1.0× 20 0.1× 27 0.1× 59 2.1k
Ryuichi Takahashi Japan 23 1.4k 0.5× 271 0.5× 392 1.0× 18 0.1× 52 0.3× 108 1.8k

Countries citing papers authored by P. Groot

Since Specialization
Citations

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

Fields of papers citing papers by P. Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Groot. 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 P. Groot. The network helps show where P. Groot may publish in the future.

Co-authorship network of co-authors of P. Groot

This figure shows the co-authorship network connecting the top 25 collaborators of P. Groot. A scholar is included among the top collaborators of P. Groot 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 P. Groot. P. Groot 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.
Bloemen, S., et al.. (2025). Textual interpretation of transient image classifications from large language models. Nature Astronomy. 9(12). 1869–1878.
2.
Roca, Jaime Bonnín, et al.. (2024). Creating and Testing a Guideline for Governing Blockchain Ecosystems: A Study Informed by Design Science. She ji. 10(3). 325–350. 1 indexed citations
3.
Coppejans, D. L., et al.. (2024). Multi-wavelength observations of the luminous fast blue optical transient AT 2023fhn. Astronomy and Astrophysics. 691. A329–A329. 2 indexed citations
4.
Kupfer, Thomas, Valeriya Korol, T. B. Littenberg, et al.. (2024). LISA Galactic Binaries with Astrometry from Gaia DR3. The Astrophysical Journal. 963(2). 100–100. 30 indexed citations
5.
Laskar, T., P. Groot, Rodolfo Barniol Duran, et al.. (2024). A Millimeter Rebrightening in GRB 210702A. The Astrophysical Journal. 974(2). 279–279. 1 indexed citations
6.
Groot, P., et al.. (2024). Automated detection of satellite trails in ground-based observations using U-Net and Hough transform. Astronomy and Astrophysics. 692. A199–A199. 1 indexed citations
7.
Bhattacharyya, Saptashwa, Roberto Ruiz de Austri, S. Caron, et al.. (2023). AutoSourceID-Classifier. Astronomy and Astrophysics. 680. A109–A109. 8 indexed citations
8.
Austri, Roberto Ruiz de, Saptashwa Bhattacharyya, S. Caron, et al.. (2023). AutoSourceID-FeatureExtractor. Astronomy and Astrophysics. 680. A108–A108. 4 indexed citations
9.
Johnston, C., P. Groot, C. Aerts, et al.. (2023). Identifying and characterising the population of hot sub-luminous stars with multi-colour MeerLICHT data. Astronomy and Astrophysics. 672. A69–A69. 1 indexed citations
10.
Chrimes, A A, P. G. Jonker, A. J. Levan, et al.. (2023). AT2023fhn (the Finch): a luminous fast blue optical transient at a large offset from its host galaxy. Monthly Notices of the Royal Astronomical Society Letters. 527(1). L47–L53. 11 indexed citations
11.
Chrimes, A A, A. J. Levan, J. J. Eldridge, et al.. (2023). Searching for ejected supernova companions in the era of precise proper motion and radial velocity measurements. Monthly Notices of the Royal Astronomical Society. 522(2). 2029–2046. 4 indexed citations
12.
Scaringi, Simone, P. Groot, C. Knigge, et al.. (2022). Localized thermonuclear bursts from accreting magnetic white dwarfs. Nature. 604(7906). 447–450. 19 indexed citations
13.
Blagorodnova, N., et al.. (2022). Searching for the next Galactic Luminous red nova. Monthly Notices of the Royal Astronomical Society. 517(2). 1884–1900. 8 indexed citations
14.
Chrimes, A A, B. P. Gompertz, Д. А. Канн, et al.. (2022). Towards an understanding of long gamma-ray burst environments through circumstellar medium population synthesis predictions. Monthly Notices of the Royal Astronomical Society. 515(2). 2591–2611. 8 indexed citations
15.
Fender, R. P., Chris Lintott, D. R. Williams, et al.. (2022). Serendipitous discovery of radio flaring behaviour from a nearby M dwarf with MeerKAT. Monthly Notices of the Royal Astronomical Society. 513(3). 3482–3492. 13 indexed citations
16.
Bloemen, S., P. Groot, R. J. P. Lyon, et al.. (2021). MeerCRAB: MeerLICHT classification of real and bogus transients using deep learning. Experimental Astronomy. 51(2). 319–344. 15 indexed citations
17.
Marsh, T. R., et al.. (2021). Spectroscopy of the helium-rich binary ES Ceti reveals accretion via a disc and evidence of eclipses. Springer Link (Chiba Institute of Technology). 1 indexed citations
18.
Ghosh, Shaon, S. Bloemen, G. Nelemans, P. Groot, & Larry R. Price. (2016). Tiling strategies for optical follow-up of gravitational-wave triggers by telescopes with a wide field of view. Springer Link (Chiba Institute of Technology). 20 indexed citations
19.
Groot, P., Simone Scaringi, J. E. Drew, et al.. (2012). A first catalogue of automatically selected ultraviolet-excess sources from the UVEX survey. Warwick Research Archive Portal (University of Warwick). 10 indexed citations
20.
Viironen, K., A. Mampaso, R. L. M. Corradi, et al.. (2009). New young planetary nebulae in IPHAS. Springer Link (Chiba Institute of Technology). 19 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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