Martin Godec

1.1k total citations
16 papers, 729 citations indexed

About

Martin Godec is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Martin Godec has authored 16 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Martin Godec's work include Video Surveillance and Tracking Methods (12 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Martin Godec is often cited by papers focused on Video Surveillance and Tracking Methods (12 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Martin Godec collaborates with scholars based in Austria, Switzerland and United Kingdom. Martin Godec's co-authors include Horst Bischof, Christian Leistner, Peter M. Roth, Amir Saffari, Thomas Pock, Bernhard Rinner, Manuel Werlberger, Samuel Schulter, Matthias Rüther and Črtomir Donik and has published in prestigious journals such as Computer Vision and Image Understanding, IEEE Intelligent Systems and Materiali in tehnologije.

In The Last Decade

Martin Godec

15 papers receiving 702 citations

Peers

Martin Godec
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 557
  • Artificial Intelligence 194
  • Aerospace Engineering 89
  • Electrical and Electronic Engineering 52
  • Computer Networks and Communications 37
Replace Tobias Senst with:
Tobias Senst Germany
Oswaldo Ludwig Portugal
Juan C. SanMiguel Spain
Carlos Cuevas Spain
Guibo Zhu China
Zhiyuan Liang China
Qiong Liu China
Tao Zhao China
Horst Possegger Austria
Ningzhong Liu China
Tobias Senst Germany View profile →
Citations per field, relative to Martin Godec
Martin Godec · 1×
Citations per year, relative to Martin Godec
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Countries citing papers authored by Martin Godec

Since Specialization
Citations

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

Fields of papers citing papers by Martin Godec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Godec

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Godec. A scholar is included among the top collaborators of Martin Godec 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 Martin Godec. Martin Godec 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
# Work Indexed citations
1 4
2 8
3
MobiTrick – Mobile Traffic Checker
1
4 110
5 138
6 15
7 6
8 16
9 3
10 3
11 66
12 14
13 335
14
Speeding Up Semi-Supervised On-line Boosting for Tracking
2
15
Speeding Up Semi-Supervised On-line Boosting for Tracking* Speeding Up Semi Supervised On line Boosting for Tracking
0
16 8

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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2026