Daniel Krause

1.0k citations
34 papers · 398 · h-index 10

Impact in

Papers in

    • Recommender Systems and Techniques 13
    • Service-Oriented Architecture and Web Services 6
    • Web Data Mining and Analysis 6
    • Speech and Audio Processing 10
    • Music and Audio Processing 9
    • Data Management and Algorithms 3

Daniel Krause

31 papers receiving 372 citations

Peers

Daniel Krause
Comparison fields: 5 of 53
  • Computer Science Applications 53
  • Signal Processing 96
  • Information Systems 196
  • Artificial Intelligence 166
  • Statistical and Nonlinear Physics 51
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Krause

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Krause

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Krause, 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 Daniel Krause Line = papers co-authored together Daniel Krause links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012137
2 200963
3 201025
4 202019
5 201014
6 202413
7 202012
8 20239
9
Personal Reader Agent: Personalized Access to Configurable Web Services
20069
10 20249
11
A framework for flexible user profile mashups
20099
12 20099
13 20088
14 20087
15 20086
16 20216
17
User Modeling and User Profile Exchange for SemanticWeb Applications.
20085
18 20225
19
A semantic network model for the medical record of a rheumatology clinic.
19954
20 20234

About Daniel Krause

Daniel Krause is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 34 papers that have together received 398 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (13 papers), Speech and Audio Processing (10 papers), Music and Audio Processing (9 papers), Semantic Web and Ontologies (9 papers), Service-Oriented Architecture and Web Services (6 papers), Web Data Mining and Analysis (6 papers), Data Management and Algorithms (3 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Science Applications (53 citations), Signal Processing (96 citations), Information Systems (196 citations), Artificial Intelligence (166 citations) and Statistical and Nonlinear Physics (51 citations). Daniel Krause has collaborated with scholars based in Germany, Finland and Poland. Frequent co-authors include Fabian Abel, Nicola Henze, Eelco Herder, Geert‐Jan Houben, Archontis Politis, Konrad Kowalczyk, Evandro Costa, Ig Ibert Bittencourt, Julita Vassileva and Annamaria Mesaros. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, New Review of Hypermedia and Multimedia, IEEE Transactions on Learning Technologies, User Modeling and User-Adapted Interaction and Archives of Acoustics.

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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