Florian Kirchbuchner

2.5k citations
61 papers · 1.3k indexed · 1 hit paper · h-index 21
Topics
Face recognition and analysis (38 papers)Biometric Identification and Security (37 papers)Face and Expression Recognition (17 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors
Partner nations
GermanyNorwaySlovenia

In The Last Decade

Florian Kirchbuchner

61 papers receiving 1.3k citations

Hit Papers

ElasticFace: Elastic Margin Loss for Deep Face Recognition2022202620232024202250100150

Peers

Florian Kirchbuchner
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 963
  • Signal Processing 648
  • Artificial Intelligence 229
  • Information Systems 140
  • Computer Networks and Communications 92
Replace Annalisa Franco with:
Annalisa Franco Italy
Naser Damer Germany
Fadi Boutros Germany
Antitza Dantcheva France
Jang‐Hee Yoo South Korea
Stefano Ricciardi Italy
Tee Connie Malaysia
Imran Qureshi Saudi Arabia
Zichang Tan China
Cristina Conde Spain
Florian Kirchbuchner relative to Annalisa Franco Italy Annalisa Franco's profile →
Citations per field
00.5×3.1×
Annalisa Franco · 1×
Citations per year

Countries citing papers authored by Florian Kirchbuchner

Since Specialization
Citations

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

Fields of papers citing papers by Florian Kirchbuchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Kirchbuchner

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Kirchbuchner. A scholar is included among the top collaborators of Florian Kirchbuchner 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 Florian Kirchbuchner. Florian Kirchbuchner 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
#WorkIndexed citations
1 3
2 2
3 12
4 53
5 9
6 87
7 44
8 26
9
Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies
5
10
Compact Models for Periocular Verification Through Knowledge Distillation
3
11 2
12 17
13 20
14 9
15 1
16 3
17 27
18 8
19 14
20 25

About Florian Kirchbuchner

Florian Kirchbuchner is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face recognition and analysis (38 papers), Biometric Identification and Security (37 papers) and Face and Expression Recognition (17 papers). The work is most often cited by research in Signal Processing (648 citations), Computer Vision and Pattern Recognition (963 citations) and Human-Computer Interaction (51 citations). Florian Kirchbuchner has collaborated with scholars based in Germany, Norway and Slovenia. Frequent co-authors include Arjan Kuijper, Naser Damer, Fadi Boutros, Biying Fu, Meiling Fang, Philipp Terhörst, Kiran Raja, Marco Huber, Andreas Braun and Raghavendra Ramachandra. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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