Florian Kirchbuchner

2.5k total citations · 1 hit paper
61 papers, 1.3k citations indexed

About

Florian Kirchbuchner is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Florian Kirchbuchner has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 39 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Florian Kirchbuchner's work include Face recognition and analysis (38 papers), Biometric Identification and Security (37 papers) and Face and Expression Recognition (17 papers). Florian Kirchbuchner is often cited by papers focused on Face recognition and analysis (38 papers), Biometric Identification and Security (37 papers) and Face and Expression Recognition (17 papers). Florian Kirchbuchner collaborates with scholars based in Germany, Norway and Slovenia. Florian Kirchbuchner's co-authors include Arjan Kuijper, Naser Damer, Fadi Boutros, Biying Fu, Meiling Fang, Philipp Terhörst, Kiran Raja, Marco Huber, Andreas Braun and Raghavendra Ramachandra and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Florian Kirchbuchner

61 papers receiving 1.3k citations

Hit Papers

ElasticFace: Elastic Margin Loss for Deep Face Recognition 2022 2026 2023 2024 2022 50 100 150

Peers

Florian Kirchbuchner
Naser Damer Germany
Jang‐Hee Yoo South Korea
Tee Connie Malaysia
Fadi Boutros Germany
Anh Nguyen United Kingdom
Florian Kirchbuchner
Citations per year, relative to Florian Kirchbuchner Florian Kirchbuchner (= 1×) peers Annalisa Franco

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
1.
Boutros, Fadi, et al.. (2023). Ubiquitous multi-occupant detection in smart environments. Neural Computing and Applications. 36(6). 2941–2960. 3 indexed citations
2.
Huber, Marco, Philipp Terhörst, Florian Kirchbuchner, Arjan Kuijper, & Naser Damer. (2023). Uncertainty-aware Comparison Scores for Face Recognition. Fraunhofer-Publica (Fraunhofer-Gesellschaft). abs 1708 8197. 1–6. 2 indexed citations
3.
Damer, Naser, et al.. (2022). Masked face recognition: Human versus machine. IET Biometrics. 11(5). 512–528. 12 indexed citations
4.
Boutros, Fadi, et al.. (2022). PocketNet: Extreme Lightweight Face Recognition Network Using Neural Architecture Search and Multistep Knowledge Distillation. IEEE Access. 10. 46823–46833. 53 indexed citations
5.
Boutros, Fadi, Naser Damer, Kiran Raja, Florian Kirchbuchner, & Arjan Kuijper. (2022). Template-Driven Knowledge Distillation for Compact and Accurate Periocular Biometrics Deep-Learning Models. Sensors. 22(5). 1921–1921. 9 indexed citations
6.
Boutros, Fadi, Naser Damer, Florian Kirchbuchner, & Arjan Kuijper. (2021). Self-restrained triplet loss for accurate masked face recognition. Pattern Recognition. 124. 108473–108473. 87 indexed citations
7.
Fang, Meiling, Naser Damer, Florian Kirchbuchner, & Arjan Kuijper. (2021). Real masks and spoof faces: On the masked face presentation attack detection. Pattern Recognition. 123. 108398–108398. 44 indexed citations
8.
Damer, Naser, et al.. (2021). Extended evaluation of the effect of real and simulated masks on face recognition performance. IET Biometrics. 10(5). 548–561. 26 indexed citations
9.
Terhörst, Philipp, Marco Huber, Naser Damer, et al.. (2020). Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 215–222. 5 indexed citations
10.
Boutros, Fadi, Naser Damer, Meiling Fang, et al.. (2020). Compact Models for Periocular Verification Through Knowledge Distillation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 291–298. 3 indexed citations
11.
Fu, Biying, Florian Kirchbuchner, & Arjan Kuijper. (2020). Performing Realistic Workout Activity Recognition on Consumer Smartphones. Technologies. 8(4). 65–65. 2 indexed citations
12.
Fang, Meiling, Naser Damer, Fadi Boutros, Florian Kirchbuchner, & Arjan Kuijper. (2020). Deep Learning Multi-layer Fusion for an Accurate Iris Presentation Attack Detection. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8. 17 indexed citations
13.
Terhörst, Philipp, et al.. (2019). Reliable Age and Gender Estimation from Face Images: Stating the Confidence of Model Predictions. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8. 20 indexed citations
14.
Damer, Naser, Fadi Boutros, Florian Kirchbuchner, & Arjan Kuijper. (2019). D-ID-Net: Two-Stage Domain and Identity Learning for Identity-Preserving Image Generation From Semantic Segmentation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 11218. 3677–3682. 9 indexed citations
15.
Braun, Andreas, et al.. (2019). Designing a self-aware jacket. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 53–58. 1 indexed citations
16.
Braun, Andreas, et al.. (2019). E-textile capacitive electrodes: Fabric or thread. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 49–52. 3 indexed citations
17.
18.
Terhörst, Philipp, et al.. (2019). Multi-algorithmic Fusion for Reliable Age and Gender Estimation from Face Images. 1–8. 8 indexed citations
19.
Fu, Biying, et al.. (2018). Fitness Activity Recognition on Smartphones Using Doppler Measurements. Informatics. 5(2). 24–24. 14 indexed citations
20.
Fu, Biying, et al.. (2018). Performing indoor localization with electric potential sensing. Journal of Ambient Intelligence and Humanized Computing. 10(2). 731–746. 25 indexed citations

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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