Simon Hecker

705 citations
5 papers · 116 · h-index 3

Impact in

    • Advanced Neural Network Applications
    • Image Enhancement Techniques
    • Advanced Vision and Imaging
    • Multimodal Machine Learning Applications
    • Video Surveillance and Tracking Methods
    • Advanced Image Processing Techniques

Papers in

Simon Hecker

5 papers receiving 106 citations

Peers

Simon Hecker
Comparison fields: 5 of 33
  • Computer Vision and Pattern Recognition 82
  • Media Technology 13
  • Artificial Intelligence 38
  • Aerospace Engineering 24
  • Automotive Engineering 11
Replace Akshita Gupta with:
Akshita Gupta India
Hasan Sarıbaş Türkiye
Baptiste Magnier France
Katrin Honauer Germany
Kangkai Zhang China
Rodney LaLonde United States
Devin Guillory United States
Tae Eun Choe United States
Shenyuan Gao Hong Kong
Xuetao Feng China
Simon Hecker relative to Akshita Gupta India Akshita Gupta's profile →
Citations per field
00.5×3.3×
Akshita Gupta · 1×
Citations per year

Countries citing papers authored by Simon Hecker

Since Specialization
Citations

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

Fields of papers citing papers by Simon Hecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Simon Hecker, 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 Hecker Line = papers co-authored together Simon Hecker links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 201976
2 202023
3
Advanced gust load alleviation system for large flexible aircraft
200714
4
Multi-Disciplinary Aircraft Model Development Using Object-Oriented Modelling Techniques
20052
5
FlightDynLib: An Object-Oriented Model Component Library for Constructing Multi-Disciplinary Aircraft Dynamics Models
20051

About Simon Hecker

Simon Hecker is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Management Science and Operations Research and Aerospace Engineering, having authored 5 papers that have together received 116 indexed citations. Recurring topics across this work include Real-time simulation and control systems (3 papers), Modeling and Simulation Systems (2 papers), Advanced Vision and Imaging (2 papers), Simulation Techniques and Applications (2 papers), Vehicle Dynamics and Control Systems (1 paper), Robotics and Sensor-Based Localization (1 paper), Aerospace and Aviation Technology (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (82 citations), Media Technology (13 citations), Artificial Intelligence (38 citations), Aerospace Engineering (24 citations) and Automotive Engineering (11 citations). Simon Hecker has collaborated with scholars based in Switzerland and Belgium. Frequent co-authors include Dengxin Dai, Luc Van Gool, Christos Sakaridis, Konrad Schindler, Qi Dai, Gertjan Looye and Johann Bals. Their work appears in journals such as International Journal of Computer Vision, elib (German Aerospace Center) and Lirias (KU Leuven).

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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