M. Werth

23.2k total citations
16 papers, 44 citations indexed

About

M. Werth is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Werth has authored 16 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Atomic and Molecular Physics, and Optics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Werth's work include Adaptive optics and wavefront sensing (9 papers), CCD and CMOS Imaging Sensors (5 papers) and Advanced Image Processing Techniques (5 papers). M. Werth is often cited by papers focused on Adaptive optics and wavefront sensing (9 papers), CCD and CMOS Imaging Sensors (5 papers) and Advanced Image Processing Techniques (5 papers). M. Werth collaborates with scholars based in United States and Australia. M. Werth's co-authors include Daniel W. Thompson, Jeremy P. Bos, Skip Williams, Michael C. Roggemann, D. Thompson, M. Abercrombie, Richard B. Holmes, Paul S. Idell, P. Kervin and A. C. Nicholas and has published in prestigious journals such as Optical Engineering, Digital Commons - Michigan Tech (Michigan Technological University) and amos.

In The Last Decade

M. Werth

14 papers receiving 43 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Werth United States 4 28 24 21 10 9 16 44
C Colodro-Conde Spain 4 20 0.7× 24 1.0× 14 0.7× 13 1.3× 2 0.2× 16 50
N. Ninane Belgium 4 15 0.5× 17 0.7× 33 1.6× 5 0.5× 9 1.0× 17 59
Mirko Schmidt United States 4 50 1.8× 9 0.4× 10 0.5× 6 0.6× 4 0.4× 5 86
F. E. Peña Arellano United Kingdom 5 7 0.3× 19 0.8× 13 0.6× 3 0.3× 5 0.6× 7 51
Robert Besuner United States 5 8 0.3× 13 0.5× 25 1.2× 7 0.7× 9 1.0× 17 55
I. Wank Germany 4 8 0.3× 10 0.4× 27 1.3× 12 1.2× 3 0.3× 20 37
K. Summers United States 4 7 0.3× 7 0.3× 30 1.4× 4 0.4× 6 0.7× 9 41
M. Hills United Kingdom 4 19 0.7× 17 0.7× 14 0.7× 17 1.7× 1 0.1× 7 59
Scott Streetman United States 4 5 0.2× 11 0.5× 22 1.0× 8 0.8× 5 0.6× 7 36
A. Böhm Germany 4 6 0.2× 10 0.4× 16 0.8× 6 0.6× 3 0.3× 12 29

Countries citing papers authored by M. Werth

Since Specialization
Citations

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

Fields of papers citing papers by M. Werth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Werth

This figure shows the co-authorship network connecting the top 25 collaborators of M. Werth. A scholar is included among the top collaborators of M. Werth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Werth. M. Werth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
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Werth, M., et al.. (2020). LUCID: Accelerating Image Reconstructions of LEO Satellites Using GPUs. 8165. 1–11. 1 indexed citations
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Werth, M., et al.. (2020). Machine learning for quality assessment of ground-based optical images of satellites. Optical Engineering. 59(5). 1–1. 7 indexed citations
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Werth, M., et al.. (2019). Determining Multi-Frame Blind Deconvolution Resolvability using Deep Learning. Advanced Maui Optical and Space Surveillance Technologies Conference. 62. 2 indexed citations
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Werth, M., et al.. (2019). Automated Resolution Scoring of Ground-Based LEO Observations Using Convolutional Neural Networks. Advanced Maui Optical and Space Surveillance Technologies Conference. 18. 1 indexed citations
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Werth, M., et al.. (2018). Improving optical imaging of dim SSA targets with simplified adaptive optics systems. Digital Commons - Michigan Tech (Michigan Technological University). 5. 1–12. 3 indexed citations
10.
Thompson, D., et al.. (2016). Performance Comparison of Optimization Methods for Blind Deconvolution. Advanced Maui Optical and Space Surveillance Technologies Conference. 122. 3 indexed citations
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Kervin, P., et al.. (2015). Multi-sensor Observations of the SpinSat Satellite. amos. 66. 1 indexed citations
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Werth, M., et al.. (2015). Recent improvements in advanced automated post-processing at the AMOS observatories. 172. 1–7. 3 indexed citations
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Werth, M., et al.. (2014). Recent Developments in Advanced Automated Post-Processing at AMOS. amos. 1 indexed citations
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Werth, M., et al.. (2014). Using Integrated Water Resources Planning to Achieve TMDL Compliance in Onondaga Lake – A Success Story. Proceedings of the Water Environment Federation. 2014(14). 3355–3375. 1 indexed citations
16.
Werth, M., et al.. (2014). A new performance metric for hybrid adaptive optics systems. 1–11. 9 indexed citations

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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