Daniel Carl

1.5k citations
87 papers · 1.1k · h-index 14

Impact in

    • Image Processing Techniques and Applications
    • Advanced Optical Imaging Technologies
  • Biophysics top 1%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques

Papers in

Daniel Carl

77 papers receiving 1.1k citations

Peers

Daniel Carl
Comparison fields: 5 of 79
  • Media Technology 491
  • Biophysics 238
  • Atomic and Molecular Physics, and Optics 798
  • Computer Vision and Pattern Recognition 405
  • Radiation 88
Replace Patrick Sandoz with:
Patrick Sandoz France
Edward R. Dowski United States
K. J. Weible Switzerland
Zhishan Gao China
Elena Stoykova Bulgaria
D. P. Paris United States
Zhensong Wei United States
Jung‐Ping Liu Taiwan
Joonku Hahn South Korea
Daniel Carl relative to Patrick Sandoz France Patrick Sandoz's profile →
Citations per field
00.5×6.3×
Patrick Sandoz · 1×
Citations per year

Countries citing papers authored by Daniel Carl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Carl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Carl, 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 Daniel Carl Line = papers co-authored together Daniel Carl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006290
2 2004265
3 200667
4 200955
5 202154
6 201133
7 201127
8 201924
9 201219
10 201918
11 201816
12 200916
13 200414
14 200813
15 200811
16 200911
17 201911
18 201310
19 20179
20 20199

About Daniel Carl

Daniel Carl is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (45 papers), Digital Holography and Microscopy (43 papers), Advanced Optical Imaging Technologies (20 papers), Image Processing Techniques and Applications (18 papers), Neural Networks Stability and Synchronization (13 papers), Advanced Memory and Neural Computing (12 papers), Neural Networks and Applications (12 papers) and Welding Techniques and Residual Stresses (5 papers). The work is most often cited by research in Media Technology (491 citations), Biophysics (238 citations), Atomic and Molecular Physics, and Optics (798 citations), Computer Vision and Pattern Recognition (405 citations) and Radiation (88 citations). Daniel Carl has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Björn Kemper, Gert von Bally, Günther Wernicke, Jürgen Schnekenburger, Ilona Bredebusch, Marcus Schäfer, Wolfram Domschke, Ronald Tetzlaff, Felix Abt and Tobias Beckmann. Their work appears in journals such as Applied Optics, Sensors, Applied Sciences, Optics Express and Journal of Biomedical Optics.

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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