Michiel Cottaar

1.8k total citations
31 papers, 829 citations indexed

About

Michiel Cottaar is a scholar working on Radiology, Nuclear Medicine and Imaging, Astronomy and Astrophysics and Cognitive Neuroscience. According to data from OpenAlex, Michiel Cottaar has authored 31 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Astronomy and Astrophysics and 7 papers in Cognitive Neuroscience. Recurrent topics in Michiel Cottaar's work include Advanced Neuroimaging Techniques and Applications (21 papers), Advanced MRI Techniques and Applications (16 papers) and Stellar, planetary, and galactic studies (7 papers). Michiel Cottaar is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (21 papers), Advanced MRI Techniques and Applications (16 papers) and Stellar, planetary, and galactic studies (7 papers). Michiel Cottaar collaborates with scholars based in United Kingdom, United States and Netherlands. Michiel Cottaar's co-authors include Saâd Jbabdi, Stamatios N. Sotiropoulos, Matteo Bastiani, Sana Suri, Fidel Alfaro‐Almagro, Jesper Andersson, Sean P. Fitzgibbon, Karla L. Miller, Jeroen Mollink and Menuka Pallebage‐Gamarallage and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Astrophysical Journal.

In The Last Decade

Michiel Cottaar

29 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michiel Cottaar United Kingdom 14 426 296 201 92 50 31 829
A. R. Duncan Australia 12 700 1.6× 205 0.7× 236 1.2× 55 0.6× 9 0.2× 21 1.2k
Rebecca Shafee United States 9 418 1.0× 802 2.7× 434 2.2× 39 0.4× 98 2.0× 14 1.4k
Yusuke Adachi Japan 14 184 0.4× 643 2.2× 28 0.1× 31 0.3× 27 0.5× 21 821
Ting Yan China 18 115 0.3× 383 1.3× 74 0.4× 39 0.4× 154 3.1× 57 962
R. J. M. Covolan Brazil 12 188 0.4× 193 0.7× 19 0.1× 11 0.1× 94 1.9× 41 515
Alejandro Cáceres Spain 16 106 0.2× 252 0.9× 43 0.2× 56 0.6× 79 1.6× 41 895
Norihide Maikusa Japan 23 460 1.1× 470 1.6× 11 0.1× 99 1.1× 474 9.5× 77 1.2k
Päivikki Tanskanen Finland 15 141 0.3× 253 0.9× 78 0.4× 85 0.9× 303 6.1× 30 794
Anna Custo United States 10 205 0.5× 518 1.8× 32 0.2× 8 0.1× 59 1.2× 14 780
Silvia Tommasin Italy 17 183 0.4× 178 0.6× 192 1.0× 7 0.1× 54 1.1× 43 785

Countries citing papers authored by Michiel Cottaar

Since Specialization
Citations

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

Fields of papers citing papers by Michiel Cottaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiel Cottaar

This figure shows the co-authorship network connecting the top 25 collaborators of Michiel Cottaar. A scholar is included among the top collaborators of Michiel Cottaar 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 Michiel Cottaar. Michiel Cottaar 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.
Cottaar, Michiel, Nicole Eichert, Taylor Hanayik, et al.. (2025). Imaging the structural connectome with hybrid MRI-microscopy tractography. Medical Image Analysis. 102. 103498–103498. 3 indexed citations
2.
Lange, Fredrik, et al.. (2025). Hierarchical modelling of crossing fibres in the white matter. Imaging Neuroscience. 3.
3.
Clarke, William T., Clémence Ligneul, Michiel Cottaar, I. Betina Ip, & Saâd Jbabdi. (2024). Universal dynamic fitting of magnetic resonance spectroscopy. Magnetic Resonance in Medicine. 91(6). 2229–2246. 13 indexed citations
4.
Lazari, Alberto, Piergiorgio Salvan, Michiel Cottaar, et al.. (2022). Hebbian activity-dependent plasticity in white matter. Cell Reports. 39(11). 110951–110951. 17 indexed citations
5.
Lazari, Alberto, Piergiorgio Salvan, Lennart Verhagen, et al.. (2022). A macroscopic link between interhemispheric tract myelination and cortico-cortical interactions during action reprogramming. Nature Communications. 13(1). 4253–4253. 6 indexed citations
6.
Howard, Amy, Michiel Cottaar, Mark Drakesmith, et al.. (2022). Estimating axial diffusivity in the NODDI model. NeuroImage. 262. 119535–119535. 15 indexed citations
7.
Griffanti, Ludovica, et al.. (2022). Identifying microstructural changes in diffusion MRI; How to circumvent parameter degeneracy. NeuroImage. 260. 119452–119452. 1 indexed citations
8.
Lazari, Alberto, Piergiorgio Salvan, Michiel Cottaar, et al.. (2021). Reassessing associations between white matter and behaviour with multimodal microstructural imaging. Cortex. 145. 187–200. 8 indexed citations
9.
Tendler, Benjamin C., Sean Foxley, Moisés Hernández-Fernández, et al.. (2020). Use of multi-flip angle measurements to account for transmit inhomogeneity and non-Gaussian diffusion in DW-SSFP. NeuroImage. 220. 117113–117113. 5 indexed citations
10.
Cottaar, Michiel, Filip Szczepankiewicz, Matteo Bastiani, et al.. (2020). Improved fibre dispersion estimation using b-tensor encoding. NeuroImage. 215. 116832–116832. 11 indexed citations
11.
Cottaar, Michiel, Matteo Bastiani, Matthew F. Glasser, et al.. (2020). Modelling white matter in gyral blades as a continuous vector field. NeuroImage. 227. 117693–117693. 12 indexed citations
12.
Howard, Amy, Jeroen Mollink, Michiel Kleinnijenhuis, et al.. (2019). Joint modelling of diffusion MRI and microscopy. NeuroImage. 201. 116014–116014. 15 indexed citations
13.
Tang, Wei, Saâd Jbabdi, Michiel Cottaar, et al.. (2019). A connectional hub in the rostral anterior cingulate cortex links areas of emotion and cognitive control. eLife. 8. 83 indexed citations
14.
Mollink, Jeroen, Michiel Kleinnijenhuis, Anne‐Marie van Cappellen van Walsum, et al.. (2017). Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging. NeuroImage. 157. 561–574. 120 indexed citations
15.
Bastiani, Matteo, Michiel Cottaar, Krikor Dikranian, et al.. (2017). Improved tractography using asymmetric fibre orientation distributions. NeuroImage. 158. 205–218. 34 indexed citations
16.
Foster, Jonathan B., Michiel Cottaar, Kevin R. Covey, et al.. (2015). IN-SYNC. II. VIRIAL STARS FROM SUBVIRIAL CORES—THE VELOCITY DISPERSION OF EMBEDDED PRE-MAIN-SEQUENCE STARS IN NGC 1333. The Astrophysical Journal. 799(2). 136–136. 60 indexed citations
17.
Cottaar, Michiel & V. Hénault-Brunet. (2014). Binary-corrected velocity dispersions from single- and multi-epoch radial velocities: massive stars in R136 as a test case. Springer Link (Chiba Institute of Technology). 6 indexed citations
18.
Cottaar, Michiel, et al.. (2012). Characterizing a cluster’s dynamic state using a single epoch of radial velocities. Springer Link (Chiba Institute of Technology). 9 indexed citations
19.
Cottaar, Michiel, Markus R. Meyer, Morten Andersen, & Paula Espinoza. (2012). Is the massive young cluster Westerlund I bound?. Springer Link (Chiba Institute of Technology). 21 indexed citations
20.
Mink, S. E. de, Michiel Cottaar, & O. R. Pols. (2008). Can Low—Metallicity Binaries Avoid Merging?. AIP conference proceedings. 217–219. 4 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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