Eva Hörster

679 citations
16 papers · 481 · h-index 10

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 13
    • Image Retrieval and Classification Techniques 11
    • Multimodal Machine Learning Applications 8
    • Advanced Vision and Imaging 3
    • Optical measurement and interference techniques 2
    • Face and Expression Recognition 1
    • Robotics and Sensor-Based Localization 4

Eva Hörster

16 papers receiving 450 citations

Peers

Eva Hörster
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 322
  • Computer Graphics and Computer-Aided Design 30
  • Media Technology 39
  • Aerospace Engineering 99
  • Computer Networks and Communications 91
Replace Amin Banitalebi-Dehkordi with:
Amin Banitalebi-Dehkordi Canada
Zhenbo Xu China
Asif Masood Pakistan
Seong‐heum Kim South Korea
Pedro J. de Rezende Brazil
Bin Yan China
Hungwen Li United States
Eva Hörster relative to Amin Banitalebi-Dehkordi Canada Amin Banitalebi-Dehkordi's profile →
Citations per field
00.5×3.5×
Amin Banitalebi-Dehkordi · 1×
Citations per year

Countries citing papers authored by Eva Hörster

Since Specialization
Citations

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

Fields of papers citing papers by Eva Hörster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Eva Hörster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Hörster Line = papers co-authored together Eva Hörster links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2006146
2 200669
3 200767
4 200958
5 200834
6 201020
7 201216
8 200913
9 200813
10 200611
11 20099
12 20079
13 20107
14 20094
15 20054
16 20071

About Eva Hörster

Eva Hörster is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 16 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (11 papers), Multimodal Machine Learning Applications (8 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Vision and Imaging (3 papers), Optical measurement and interference techniques (2 papers), Text and Document Classification Technologies (2 papers) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (322 citations), Computer Graphics and Computer-Aided Design (30 citations), Media Technology (39 citations), Aerospace Engineering (99 citations) and Computer Networks and Communications (91 citations). Eva Hörster has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Rainer Lienhart, Stefan Romberg, Malcolm Slaney, Marc’Aurelio Ranzato, Kilian Q. Weinberger, J.-Y. Bouguet, Wolfgang Effelsberg, Bernhard Möller and Walter Kellermann. Their work appears in journals such as Multimedia Systems, International Journal of Multimedia Information Retrieval, Multimedia Tools and Applications, OPUS (Augsburg University) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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