Horst Possegger

101 total papers · 3.4k total citations
36 papers, 706 citations indexed

About

Horst Possegger is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Horst Possegger has authored 36 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 5 papers in Automotive Engineering. Recurrent topics in Horst Possegger's work include Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Horst Possegger is often cited by papers focused on Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Horst Possegger collaborates with scholars based in Austria, Germany and United States. Horst Possegger's co-authors include Horst Bischof, Thomas Mauthner, Peter M. Roth, Michael Opitz, Marc Masana, Mateusz Koziński, Serkan Kıranyaz, Moncef Gabbouj, Çağlar Aytekin and Hilde Kuehne and has published in prestigious journals such as IEEE Transactions on Multimedia, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Horst Possegger

31 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
Horst Possegger	595	184	125	64	60	36	706
Seung‐Hwan Bae	643 1.1×	207 1.1×	138 1.1×	92 1.4×	93 1.6×	28	781
Kimin Yun	697 1.2×	149 0.8×	156 1.2×	94 1.5×	63 1.1×	30	780
Li Wang	593 1.0×	109 0.6×	86 0.7×	74 1.2×	37 0.6×	33	665
Danda Pani Paudel	712 1.2×	187 1.0×	275 2.2×	72 1.1×	55 0.9×	61	878
Hanxi Li	567 1.0×	136 0.7×	77 0.6×	39 0.6×	77 1.3×	41	705
Martin Godec	557 0.9×	195 1.1×	89 0.7×	31 0.5×	52 0.9×	16	729
Yao Sui	552 0.9×	75 0.4×	172 1.4×	66 1.0×	74 1.2×	34	739
Volker Eiselein	716 1.2×	241 1.3×	157 1.3×	103 1.6×	49 0.8×	25	814
Roman Pflugfelder	663 1.1×	73 0.4×	198 1.6×	92 1.4×	83 1.4×	22	757
Wei Zhao	344 0.6×	197 1.1×	65 0.5×	69 1.1×	41 0.7×	48	669

Countries citing papers authored by Horst Possegger

Since Specialization

Citations

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

Fields of papers citing papers by Horst Possegger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Horst Possegger

This figure shows the co-authorship network connecting the top 25 collaborators of Horst Possegger. A scholar is included among the top collaborators of Horst Possegger 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 Horst Possegger. Horst Possegger 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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