Silvia Pfeiffer

1.2k total citations
31 papers, 691 citations indexed

About

Silvia Pfeiffer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Silvia Pfeiffer has authored 31 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 12 papers in Sociology and Political Science. Recurrent topics in Silvia Pfeiffer's work include Video Analysis and Summarization (17 papers), Music and Audio Processing (11 papers) and Multimedia Communication and Technology (11 papers). Silvia Pfeiffer is often cited by papers focused on Video Analysis and Summarization (17 papers), Music and Audio Processing (11 papers) and Multimedia Communication and Technology (11 papers). Silvia Pfeiffer collaborates with scholars based in Australia, Germany and Japan. Silvia Pfeiffer's co-authors include Wolfgang Effelsberg, Rainer Lienhart, Stephan Fischer, Uma Srinivasan, Raphaël Troncy, Erik Mannens, Davy Van Deursen, Michael Lee, Rik Van de Walle and Jack Jansen and has published in prestigious journals such as Communications of the ACM, Multimedia Tools and Applications and Journal of Visual Communication and Image Representation.

In The Last Decade

Silvia Pfeiffer

28 papers receiving 602 citations

Peers

Silvia Pfeiffer
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 584
  • Signal Processing 397
  • Sociology and Political Science 199
  • Artificial Intelligence 75
  • Computer Networks and Communications 37
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Citations per field, relative to Silvia Pfeiffer
Silvia Pfeiffer · 1×
Citations per year, relative to Silvia Pfeiffer
Silvia Pfeiffer · 1×

Countries citing papers authored by Silvia Pfeiffer

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Pfeiffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Pfeiffer

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Pfeiffer. A scholar is included among the top collaborators of Silvia Pfeiffer 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 Silvia Pfeiffer. Silvia Pfeiffer 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 1
2 7
3
Media Fragments URI 1.0
8
4 1
5 13
6
"Architecture of a Video Web - Experience with Annodex"
3
7 20
8 0
9 3
10 48
11 7
12 8
13 9
14 17
15
The MoCA Project - Movie Content Analysis Research at the University of Mannheim
14
16 3
17 179
18
Automatic Movie Abstracting
7
19 131
20 122

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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