Marco Huber

646 total citations
25 papers, 321 citations indexed

About

Marco Huber is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marco Huber has authored 25 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Marco Huber's work include Face recognition and analysis (20 papers), Biometric Identification and Security (14 papers) and Face and Expression Recognition (9 papers). Marco Huber is often cited by papers focused on Face recognition and analysis (20 papers), Biometric Identification and Security (14 papers) and Face and Expression Recognition (9 papers). Marco Huber collaborates with scholars based in Germany, Portugal and Norway. Marco Huber's co-authors include Naser Damer, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper, Philipp Terhörst, Meiling Fang, Kiran Raja, Wolfgang Holzgreve, Edward Wight and Uwe Güth and has published in prestigious journals such as Information Fusion, IEEE Transactions on Biometrics Behavior and Identity Science and Cancer Detection and Prevention.

In The Last Decade

Marco Huber

23 papers receiving 313 citations

Peers

Marco Huber
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 242
  • Signal Processing 125
  • Artificial Intelligence 50
  • Oncology 18
  • Information Systems 16
S. Jayalakshmi India
Pablo H. Hennings-Yeomans United States
Meilu Zhu Hong Kong
Min Beom Lee South Korea
Zhenqi Xu China
Junaid Tariq Pakistan
Haozhe Liu China
Leonardo Chang Mexico
Hongliang Jin China
Saleha Masood Pakistan
S. Jayalakshmi India View profile →
Citations per field, relative to Marco Huber
Marco Huber · 1×
Citations per year, relative to Marco Huber
Marco Huber · 1×

Countries citing papers authored by Marco Huber

Since Specialization
Citations

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

Fields of papers citing papers by Marco Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Huber

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Huber. A scholar is included among the top collaborators of Marco Huber 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 Marco Huber. Marco Huber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 10
3 3
4 7
5 2
6 14
7 19
8 3
9 25
10 53
11 7
12 4
13 3
14 23
15 22
16
Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies
5
17 20
18 8
19 37
20 4

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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