Roland C. Aydin

2.0k citations
39 papers · 1.2k indexed · 1 hit paper · h-index 17
Topics
Elasticity and Material Modeling (13 papers)Cellular Mechanics and Interactions (9 papers)Machine Learning in Materials Science (8 papers)

In The Last Decade

Roland C. Aydin

36 papers receiving 1.1k citations

Hit Papers

A Review of the Application of Machine Learning and Data ...2019202620212023201950100150200250

Peers

Roland C. Aydin
Comparison fields: 5 of 127
  • Biomedical Engineering 534
  • Mechanics of Materials 252
  • Materials Chemistry 214
  • Mechanical Engineering 201
  • Cell Biology 170
Replace Nikolaos Bouklas with:
Nikolaos Bouklas United States
Michele Marino Italy
Chung‐Hao Lee United States
Siddhant Kumar Netherlands
Ali Javili Germany
Daniel Balzani Germany
Francisco J. Montáns Spain
Andreas Menzel Germany
Enrui Zhang China
Marcus Stoffel Germany
Roland C. Aydin relative to Nikolaos Bouklas United States Nikolaos Bouklas's profile →
Citations per field
00.5×1.6×
Nikolaos Bouklas · 1×
Citations per year

Countries citing papers authored by Roland C. Aydin

Since Specialization
Citations

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

Fields of papers citing papers by Roland C. Aydin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland C. Aydin

This figure shows the co-authorship network connecting the top 25 collaborators of Roland C. Aydin. A scholar is included among the top collaborators of Roland C. Aydin 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 Roland C. Aydin. Roland C. Aydin 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
#WorkIndexed citations
1 2
2 0
3 0
4 2
5 3
6 0
7 6
8 1
9 5
10 5
11 2
12 16
13 32
14 48
15 13
16 6
17 33
18 12
19 116
20 87

About Roland C. Aydin

Roland C. Aydin is a scholar working on Structural Biology, Metals and Alloys and Cell Biology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Elasticity and Material Modeling (13 papers), Cellular Mechanics and Interactions (9 papers) and Machine Learning in Materials Science (8 papers). The work is most often cited by research in Metals and Alloys (39 citations), Statistical and Nonlinear Physics (157 citations) and Biomedical Engineering (534 citations). Roland C. Aydin has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include Christian J. Cyron, Jay D. Humphrey, Frederic E. Bock, Surya R. Kalidindi, N. Huber, Benjamin Klusemann, Fabian A. Braeu, Kevin Linka, Mikhail Itskov and Markus Hillgärtner. Their work appears in journals such as Blood, Acta Materialia and Journal of Computational Physics.

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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