Benjamin Berkels

1.5k citations
69 papers · 1.1k · h-index 16

Impact in

Papers in

Benjamin Berkels

69 papers receiving 1.1k citations

Peers

Benjamin Berkels
Comparison fields: 5 of 116
  • Structural Biology 200
  • Surfaces, Coatings and Films 205
  • Computer Vision and Pattern Recognition 226
  • Media Technology 80
  • Metals and Alloys 20
Replace K. Joost Batenburg with:
K. Joost Batenburg Netherlands
Saransh Singh United States
Andrew Stevens United States
Ludger Koenders Germany
David J. Rowenhorst United States
Andrew Yacoot United Kingdom
Huibin Chang China
J. Mohr Germany
A.E. Ennos United Kingdom
Benjamin Berkels relative to K. Joost Batenburg Netherlands K. Joost Batenburg's profile →
Citations per field
00.5×5.7×
K. Joost Batenburg · 1×
Citations per year

Countries citing papers authored by Benjamin Berkels

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Berkels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benjamin Berkels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Berkels Line = papers co-authored together Benjamin Berkels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014214
2 2018111
3 200788
4 201357
5 201651
6 201946
7 202243
8 201537
9 200727
10 202227
11 201520
12 201419
13 201819
14 201818
15 201818
16 201816
17 201015
18 201515
19 200715
20 202314

About Benjamin Berkels

Benjamin Berkels is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry, Surfaces, Coatings and Films, Structural Biology and Biomedical Engineering, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Advanced Electron Microscopy Techniques and Applications (12 papers), Electron and X-Ray Spectroscopy Techniques (11 papers), Advanced Vision and Imaging (7 papers), Microstructure and mechanical properties (6 papers), Medical Imaging Techniques and Applications (6 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Structural Biology (200 citations), Surfaces, Coatings and Films (205 citations), Computer Vision and Pattern Recognition (226 citations), Media Technology (80 citations) and Metals and Alloys (20 citations). Benjamin Berkels has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin Rumpf, Peter Binev, Wolfgang Dahmen, Paul M. Voyles, Andrew B. Yankovich, Steven A. Bradley, Sergio Sánchez, Izabela Szlufarska, Ao Li and Leah Bar. Their work appears in journals such as Ultramicroscopy, Microscopy and Microanalysis, Materials & Design, Advanced Materials and Lecture notes in computer science.

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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