Michael Stauffer

958 citations
22 papers · 653 · 1 hit paper · h-index 9

Impact in

Papers in

Michael Stauffer

22 papers receiving 643 citations

Michael Stauffer's Hit Papers

The Insight ToolKit image registration framework 2014 · 461 citations
4610+4+8Years since publication100200300400

Peers

Michael Stauffer
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 207
  • Radiology, Nuclear Medicine and Imaging 185
  • Cognitive Neuroscience 129
  • Neurology 37
  • Psychiatry and Mental health 42
Replace Camilo Bermudez with:
Camilo Bermudez United States
Claudio Stamile France
Lotta M. Ellingsen United States
Torsten Butz Switzerland
Ilwoo Lyu United States
Matías Nicolás Bossa Spain
Saori Koshino Japan
Ivor Simpson United Kingdom
Noah Lee United States
Qingyu Zhao United States
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Citations per year

Countries citing papers authored by Michael Stauffer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Stauffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Michael Stauffer, 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 Michael Stauffer Line = papers co-authored together Michael Stauffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Insight ToolKit image registration framework
Hit paper breakdown →
2014461
2 201730
3 201624
4 202021
5 201820
6 201617
7 201210
8 20198
9 20188
10 20147
11 20187
12 20177
13 20146
14 20175
15 20174
16 20124
17 20163
18 20153
19 20193
20 20183

About Michael Stauffer

Michael Stauffer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 22 papers that have together received 653 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Handwritten Text Recognition Techniques (6 papers), Web Data Mining and Analysis (5 papers), Image Retrieval and Classification Techniques (3 papers), Medical Image Segmentation Techniques (2 papers), Algorithms and Data Compression (2 papers) and Optimization and Packing Problems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Radiology, Nuclear Medicine and Imaging (185 citations), Cognitive Neuroscience (129 citations), Neurology (37 citations) and Psychiatry and Mental health (42 citations). Michael Stauffer has collaborated with scholars based in Switzerland, South Africa and United States. Frequent co-authors include Baohua Wu, Nicholas J. Tustison, Brian Avants, Gang Song, James C. Gee, Kaspar Riesen, Andreas Fischer, Thomas Hanne, Rolf Dornberger and Rolf Ingold. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, Frontiers in Neuroinformatics, Lecture notes in computer science and Studies in systems, decision and control.

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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