Fabian Hüger

57 total papers · 595 total citations
20 papers, 194 citations indexed

About

Fabian Hüger is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Fabian Hüger has authored 20 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Automotive Engineering. Recurrent topics in Fabian Hüger's work include Advanced Neural Network Applications (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Anomaly Detection Techniques and Applications (4 papers). Fabian Hüger is often cited by papers focused on Advanced Neural Network Applications (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Anomaly Detection Techniques and Applications (4 papers). Fabian Hüger collaborates with scholars based in Germany, United States and Switzerland. Fabian Hüger's co-authors include Peter Schlicht, Tim Fingscheidt, Nico M. Schmidt, Matthias Rottmann, Hanno Gottschalk, Robin Chan, Ján Schneider, Michael Weber, J. Marius Zöllner and Thomas Stauner and has published in prestigious journals such as IEEE Signal Processing Magazine, ATZ - Automobiltechnische Zeitschrift and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Fabian Hüger

19 papers receiving 188 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fabian Hüger	140	82	24	12	10	20	194
Peter Schlicht	138 1.0×	84 1.0×	24 1.0×	12 1.0×	9 0.9×	29	227
Kun Yang	147 1.1×	125 1.5×	10 0.4×	8 0.7×	9 0.9×	27	271
Tianjun Xiao	135 1.0×	145 1.8×	8 0.3×	12 1.0×	6 0.6×	13	232
Éloi Zablocki	88 0.6×	106 1.3×	56 2.3×	8 0.7×	8 0.8×	11	204
Tao Li	146 1.0×	85 1.0×	5 0.2×	8 0.7×	11 1.1×	24	230
Huimin Ma	159 1.1×	49 0.6×	15 0.6×	11 0.9×	10 1.0×	22	186
Tianshi Gao	171 1.2×	122 1.5×	19 0.8×	14 1.2×	25 2.5×	20	278
Wentao Bao	151 1.1×	51 0.6×	29 1.2×	23 1.9×	46 4.6×	16	223
Soumava Kumar Roy	187 1.3×	67 0.8×	7 0.3×	19 1.6×	4 0.4×	16	261
Junhyuk Hyun	163 1.2×	69 0.8×	12 0.5×	20 1.7×	28 2.8×	17	206

Countries citing papers authored by Fabian Hüger

Since Specialization

Citations

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

Fields of papers citing papers by Fabian Hüger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Hüger

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

All Works

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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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