Daniel Schmitter

746 citations
24 papers · 568 · h-index 10

Impact in

Papers in

Daniel Schmitter

24 papers receiving 562 citations

Peers

Daniel Schmitter
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 65
  • Biophysics 54
  • Computer Graphics and Computer-Aided Design 23
  • Neurology 47
  • Developmental Neuroscience 22
Replace Matthijs van Eede with:
Matthijs van Eede Canada
G. Tavares Brazil
Payam A. Saisan United States
Henrik Skibbe Japan
Joseph J. Capowski United States
Shusheng Yang China
Xin Zhou United States
Vanessa Kyriakopoulou United Kingdom
Jacob R. Glaser United States
Yiheng Xie United States
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Citations per field
00.5×4.6×
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Citations per year

Countries citing papers authored by Daniel Schmitter

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schmitter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014163
2 2012121
3 201384
4 201454
5 201520
6 201618
7 201717
8 201515
9 201313
10 201411
11 20167
12 20156
13 20156
14 20146
15 20156
16 20205
17 20174
18 20152
19 20172
20 20152

About Daniel Schmitter

Daniel Schmitter is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Molecular Biology and Artificial Intelligence, having authored 24 papers that have together received 568 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (11 papers), Medical Image Segmentation Techniques (6 papers), 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (4 papers), Optical measurement and interference techniques (2 papers), Microtubule and mitosis dynamics (2 papers), Image and Object Detection Techniques (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (65 citations), Biophysics (54 citations), Computer Graphics and Computer-Aided Design (23 citations), Neurology (47 citations) and Developmental Neuroscience (22 citations). Daniel Schmitter has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Michaël Unser, Daniel Sage, Ricard Delgado-Gonzalo, Virginie Uhlmann, Marlen Knobloch, Matthias P. Lütolf, Marta Roccio, Alexis Roche, Stefan Klöppel and Cristina Granziera. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Image Processing, NeuroImage Clinical, The Journal of Clinical Endocrinology & Metabolism and Development.

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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