Christian Beecks

1.6k total citations
102 papers, 907 citations indexed

About

Christian Beecks is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Christian Beecks has authored 102 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 32 papers in Signal Processing. Recurrent topics in Christian Beecks's work include Advanced Image and Video Retrieval Techniques (44 papers), Image Retrieval and Classification Techniques (39 papers) and Video Analysis and Summarization (36 papers). Christian Beecks is often cited by papers focused on Advanced Image and Video Retrieval Techniques (44 papers), Image Retrieval and Classification Techniques (39 papers) and Video Analysis and Summarization (36 papers). Christian Beecks collaborates with scholars based in Germany, Austria and Czechia. Christian Beecks's co-authors include Thomas Seidl, Merih Seran Uysal, Frederik Sandfort, Felix Strieth‐Kalthoff, Frank Glorius, Marius Kühnemund, Tomáš Skopal, Jakub Lokoč, Klaus Schoeffmann and Marwan Hassani and has published in prestigious journals such as Diabetes, Chem and Applied Sciences.

In The Last Decade

Christian Beecks

87 papers receiving 853 citations

Peers

Christian Beecks
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 481
  • Artificial Intelligence 173
  • Signal Processing 156
  • Materials Chemistry 146
  • Computational Theory and Mathematics 133
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Citations per field, relative to Christian Beecks
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Countries citing papers authored by Christian Beecks

Since Specialization
Citations

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

Fields of papers citing papers by Christian Beecks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Beecks

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Beecks. A scholar is included among the top collaborators of Christian Beecks 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 Christian Beecks. Christian Beecks 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
# Work Indexed citations
1 0
2 10
3 0
4 1
5 3
6 1
7 2
8 5
9 194
10 13
11
Gaussian Processes for Anomaly Description in Production Environments.
6
12
Automated Pattern Analysis in Gesture Research : Similarity Measuring in 3D Motion Capture Models of Communicative Action
7
13
Mining sequential patterns of event streams in a smart home application
12
14 11
15 4
16
Fostering interdisciplinary integration in the e-humanities
1
17
Distance based similarity models for content based multimedia retrieval
25
18
Distance-Based Similarity Search in Multimedia Databases
1
19 23
20
Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken.
1

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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