Simon Hawe

437 citations
11 papers · 265 · h-index 7

Impact in

Papers in

Journals
Information Fusion (1 paper)International Journal of Computer Vision (1 paper)Applied Soft Computing (1 paper)mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (6 papers)
Partner nations
Germany

In The Last Decade

Simon Hawe

10 papers receiving 255 citations

Peers

Simon Hawe
Comparison fields: 5 of 36
  • Computational Mathematics 14
  • Media Technology 105
  • Computer Vision and Pattern Recognition 204
  • Computational Mechanics 83
  • Instrumentation 11
Replace Chih-Fan Chen with:
Chih-Fan Chen United States
Xi’ai Chen China
Shoulie Xie Singapore
Suyun Rao China
Charilaos I. Kanatsoulis United States
A.R.P. Ragozini Italy
Adel Bibi Saudi Arabia
J.-C. Pesquet France
Miaohua Zhang Australia
Simon Hawe relative to Chih-Fan Chen United States Chih-Fan Chen's profile →
Citations per field
00.5×11×
Chih-Fan Chen · 1×
Citations per year

Countries citing papers authored by Simon Hawe

Since Specialization
Citations

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

Fields of papers citing papers by Simon Hawe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Simon Hawe, 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 Simon Hawe Line = papers co-authored together Simon Hawe links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201378
2 201369
3 201162
4
Analysis based blind compressive sensing
201314
5 201013
6 201211
7 20149
8 20125
9
MutanT: A modular and generic tool for multi-sensor data processing
20092
10 20091
11
Learning Sparse Data Models via Geometric Optimization with Applications to Image Processing
20131

About Simon Hawe

Simon Hawe is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Media Technology and Artificial Intelligence, having authored 11 papers that have together received 265 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Image and Signal Denoising Methods (4 papers), Image Processing Techniques and Applications (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Advanced Vision and Imaging (2 papers), Medical Image Segmentation Techniques (2 papers), Analog and Mixed-Signal Circuit Design (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Computational Mathematics (14 citations), Media Technology (105 citations), Computer Vision and Pattern Recognition (204 citations), Computational Mechanics (83 citations) and Instrumentation (11 citations). Simon Hawe has collaborated with scholars based in Germany. Frequent co-authors include Martin Kleinsteuber, Klaus Diepold and Michael E. Zwick. Their work appears in journals such as Information Fusion, International Journal of Computer Vision, Applied Soft Computing and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).

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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