Marnix C. Maas

88 total papers · 3.5k total citations
50 papers, 1.1k citations indexed

About

Marnix C. Maas is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marnix C. Maas has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Radiation and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marnix C. Maas's work include Medical Imaging Techniques and Applications (24 papers), Radiation Detection and Scintillator Technologies (20 papers) and Advanced MRI Techniques and Applications (16 papers). Marnix C. Maas is often cited by papers focused on Medical Imaging Techniques and Applications (24 papers), Radiation Detection and Scintillator Technologies (20 papers) and Advanced MRI Techniques and Applications (16 papers). Marnix C. Maas collaborates with scholars based in Netherlands, Belgium and Germany. Marnix C. Maas's co-authors include P. Bruyndonckx, Dennis R. Schaart, Tom W. J. Scheenen, D.J. van der Laan, C.W.E. van Eijk, Cédric Lemaître, Jurgen J. Fütterer, Freek J. Beekman, Thiele Kobus and Eline K. Vos and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Radiology.

In The Last Decade

Marnix C. Maas

49 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marnix C. Maas 952 540 260 246 122 50 1.1k
M. McJury 926 1.0× 680 1.3× 407 1.6× 138 0.6× 157 1.3× 36 1.2k
Steven M. Shea 1.1k 1.1× 153 0.3× 254 1.0× 230 0.9× 86 0.7× 70 1.3k
S. K. Hilal 696 0.7× 143 0.3× 184 0.7× 147 0.6× 134 1.1× 50 1.4k
P. Moskal 504 0.5× 397 0.7× 168 0.6× 265 1.1× 132 1.1× 132 1.2k
R. Freifelder 709 0.7× 476 0.9× 99 0.4× 254 1.0× 217 1.8× 66 1.3k
O. Nalcioǧlu 978 1.0× 175 0.3× 120 0.5× 146 0.6× 398 3.3× 80 1.3k
Keith Wachowicz 828 0.9× 562 1.0× 213 0.8× 74 0.3× 286 2.3× 57 1.1k
Yasukazu Kanai 794 0.8× 551 1.0× 133 0.5× 211 0.9× 83 0.7× 81 1.1k
Y. J. Picard 566 0.6× 396 0.7× 66 0.3× 393 1.6× 144 1.2× 49 1.0k
Richard E. Wendt 832 0.9× 113 0.2× 252 1.0× 83 0.3× 142 1.2× 77 1.4k

Countries citing papers authored by Marnix C. Maas

Since Specialization
Citations

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

Fields of papers citing papers by Marnix C. Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marnix C. Maas. 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 Marnix C. Maas. The network helps show where Marnix C. Maas may publish in the future.

Co-authorship network of co-authors of Marnix C. Maas

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

All Works

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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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