Matthias Grimm

1.2k total citations
39 papers, 817 citations indexed

About

Matthias Grimm is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthias Grimm has authored 39 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 10 papers in Surgery and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthias Grimm's work include Transportation Systems and Safety (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Optical Coherence Tomography Applications (3 papers). Matthias Grimm is often cited by papers focused on Transportation Systems and Safety (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Optical Coherence Tomography Applications (3 papers). Matthias Grimm collaborates with scholars based in Germany, Austria and United States. Matthias Grimm's co-authors include Sylvia Jeney, Thomas Franosch, Flavio M. Mor, Lászlø Forró, Giuseppe Foffi, Maxim Belushkin, Nassir Navab, Mingchuan Zhou, Zhongliang Jiang and Ying Hu and has published in prestigious journals such as Nature, Physical Review Letters and IEEE Transactions on Industrial Electronics.

In The Last Decade

Matthias Grimm

38 papers receiving 803 citations

Peers

Matthias Grimm
Comparison fields: 5 of 125
  • Biomedical Engineering 291
  • Atomic and Molecular Physics, and Optics 175
  • Surgery 138
  • Statistical and Nonlinear Physics 134
  • Materials Chemistry 134
Replace Takashi Suzuki with:
Takashi Suzuki Japan
A.M. Robinson Canada
P. Tran United States
Kaname Matsue Japan
Shuyan Xu China
Hongbo Li China
B H Blott United Kingdom
Marcin Kostur Poland
Alain Sibille France
Takashi Suzuki Japan View profile →
Citations per field, relative to Matthias Grimm
Matthias Grimm · 1×
Citations per year, relative to Matthias Grimm
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Countries citing papers authored by Matthias Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Grimm

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Grimm. A scholar is included among the top collaborators of Matthias Grimm 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 Grimm. Matthias Grimm 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
# Work Indexed citations
1 2
2 10
3 3
4 1
5 1
6 62
7 4
8
Real-time Scene Understanding in Ophthalmic Anterior Segment OCT Images
3
9 39
10 2
11 263
12 5
13 65
14 4
15 40
16
Anforderungen an eine sicherheitsrelevante Ortung im Schienenverkehr
0
17
Requirements for Safety Relevant Positioning Applications in Rail Traffic
2
18 9
19 1
20 7

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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