F. Salzenstein

840 citations
29 papers · 594 · h-index 14

Impact in

Papers in

F. Salzenstein

29 papers receiving 566 citations

Peers

F. Salzenstein
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 224
  • Media Technology 70
  • Signal Processing 70
  • Control and Systems Engineering 82
  • Oceanography 42
Replace Mary L. Comer with:
Mary L. Comer United States
Tao Shan China
David C. Munson United States
Xiaoheng Tan China
Stefan L. Hahn Poland
Jianxun Li China
James R. Hopgood United Kingdom
N.M. Bilgutay United States
Yves Goussard Canada
S.M. Kogon United States
F. Salzenstein relative to Mary L. Comer United States Mary L. Comer's profile →
Citations per field
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Mary L. Comer · 1×
Citations per year

Countries citing papers authored by F. Salzenstein

Since Specialization
Citations

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

Fields of papers citing papers by F. Salzenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside F. Salzenstein, 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 F. Salzenstein Line = papers co-authored together F. Salzenstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199781
2 201866
3 200759
4 200453
5 200445
6 200641
7 200724
8 200922
9 201320
10 200719
11 201617
12 200515
13 201414
14 200214
15 200813
16 201212
17 200912
18 201212
19 200511
20 200810

About F. Salzenstein

F. Salzenstein is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Biomedical Engineering and Artificial Intelligence, having authored 29 papers that have together received 594 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Optical measurement and interference techniques (7 papers), Surface Roughness and Optical Measurements (6 papers), Remote-Sensing Image Classification (6 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Image Retrieval and Classification Techniques (4 papers), Bayesian Methods and Mixture Models (4 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (224 citations), Media Technology (70 citations), Signal Processing (70 citations), Control and Systems Engineering (82 citations) and Oceanography (42 citations). F. Salzenstein has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Abdel‐Ouahab Boudraa, C. Collet, Wojciech Pieczynski, Paul Montgomery, Jean-Christophe Cexus, Mathieu Hatt, Akram Belghith, Nicolas Boussion, Christian Roux and Peter H. Jarritt. Their work appears in journals such as Digital Signal Processing, Signal Processing, Pattern Recognition Letters, Journal of the Optical Society of America A and Optics Express.

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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