I. H. Gerrits

26 total papers · 429 total citations
15 papers, 310 citations indexed

About

I. H. Gerrits is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, I. H. Gerrits has authored 15 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in I. H. Gerrits's work include Cardiac Valve Diseases and Treatments (7 papers), Ultrasound Imaging and Elastography (7 papers) and Medical Image Segmentation Techniques (6 papers). I. H. Gerrits is often cited by papers focused on Cardiac Valve Diseases and Treatments (7 papers), Ultrasound Imaging and Elastography (7 papers) and Medical Image Segmentation Techniques (6 papers). I. H. Gerrits collaborates with scholars based in Netherlands, Australia and Spain. I. H. Gerrits's co-authors include J.M. Thijssen, Maartje M. Nillesen, Richard G. P. Lopata, Chris L. de Korte, Hendrik H.G. Hansen, Livia Kapusta, Henkjan Huisman, Frans N. van de Vosse and Willem P. de Boode and has published in prestigious journals such as Physics in Medicine and Biology, Ultrasound in Medicine & Biology and Prehospital and Disaster Medicine.

In The Last Decade

I. H. Gerrits

13 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
I. H. Gerrits	220	163	143	56	42	15	310
Guy Cloutier	224 1.0×	144 0.9×	169 1.2×	95 1.7×	36 0.9×	7	356
Léon A.F. Ledoux	213 1.0×	174 1.1×	188 1.3×	63 1.1×	50 1.2×	14	351
L.Y.L. Mo	194 0.9×	155 1.0×	69 0.5×	29 0.5×	97 2.3×	16	314
Sébastien Salles	229 1.0×	181 1.1×	88 0.6×	16 0.3×	84 2.0×	35	298
S. Krucinski	81 0.4×	82 0.5×	119 0.8×	60 1.1×	20 0.5×	13	315
Mara Bonardi	172 0.8×	120 0.7×	39 0.3×	74 1.3×	28 0.7×	13	307
C. Perrey	272 1.2×	192 1.2×	34 0.2×	48 0.9×	113 2.7×	12	338
Russell H. Behler	247 1.1×	198 1.2×	59 0.4×	36 0.6×	76 1.8×	16	321
Devin V. Amin	60 0.3×	183 1.1×	62 0.4×	109 1.9×	11 0.3×	13	344
Alexander Haak	176 0.8×	155 1.0×	95 0.7×	29 0.5×	35 0.8×	35	306

Countries citing papers authored by I. H. Gerrits

Since Specialization

Citations

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

Fields of papers citing papers by I. H. Gerrits

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. H. Gerrits. 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 I. H. Gerrits. The network helps show where I. H. Gerrits may publish in the future.

Co-authorship network of co-authors of I. H. Gerrits

This figure shows the co-authorship network connecting the top 25 collaborators of I. H. Gerrits. A scholar is included among the top collaborators of I. H. Gerrits 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 I. H. Gerrits. I. H. Gerrits 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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