Matthias John

50 total papers · 875 total citations
38 papers, 570 citations indexed

About

Matthias John is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthias John has authored 38 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthias John's work include Cardiac Valve Diseases and Treatments (14 papers), Medical Image Segmentation Techniques (11 papers) and Medical Imaging Techniques and Applications (9 papers). Matthias John is often cited by papers focused on Cardiac Valve Diseases and Treatments (14 papers), Medical Image Segmentation Techniques (11 papers) and Medical Imaging Techniques and Applications (9 papers). Matthias John collaborates with scholars based in Germany, United States and Switzerland. Matthias John's co-authors include Joachim Giesen, Yefeng Zheng, Dorin Comaniciu, Razvan Ionasec, Jan Boese, Jörg Kempfert, Tobias Heimann, Thomas Walther, Peter Mountney and Rui Liao and has published in prestigious journals such as Journal of the American College of Cardiology, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Matthias John

37 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Matthias John	186	174	168	130	109	38	570
Viorel Mihalef	174 0.9×	86 0.5×	40 0.2×	104 0.8×	72 0.7×	31	505
Xueying Zeng	53 0.3×	62 0.4×	175 1.0×	107 0.8×	42 0.4×	51	669
Gabriel Mistelbauer	207 1.1×	70 0.4×	119 0.7×	96 0.7×	240 2.2×	40	503
John K. Johnstone	65 0.3×	190 1.1×	92 0.5×	36 0.3×	21 0.2×	39	586
Nishant Ravikumar	57 0.3×	317 1.8×	201 1.2×	136 1.0×	42 0.4×	63	647
Teemu Mäkelä	59 0.3×	336 1.9×	170 1.0×	197 1.5×	98 0.9×	44	687
Christian Rieder	27 0.1×	104 0.6×	172 1.0×	200 1.5×	88 0.8×	34	574
Adam Updegrove	255 1.4×	117 0.7×	22 0.1×	134 1.0×	170 1.6×	12	527
Dirk Selle	23 0.1×	131 0.8×	291 1.7×	140 1.1×	80 0.7×	11	623
S. Lobregt	63 0.3×	236 1.4×	415 2.5×	174 1.3×	83 0.8×	14	685

Countries citing papers authored by Matthias John

Since Specialization

Citations

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

Fields of papers citing papers by Matthias John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias John

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias John. A scholar is included among the top collaborators of Matthias John 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 Matthias John. Matthias John 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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