Fabian Abel

2.9k citations
39 papers · 825 · h-index 14

Impact in

Papers in

    • Recommender Systems and Techniques 17
    • Web Data Mining and Analysis 12
    • Service-Oriented Architecture and Web Services 5
    • Semantic Web and Ontologies 9
    • Topic Modeling 5
    • Authorship Attribution and Profiling 4

Fabian Abel

36 papers receiving 760 citations

Peers

Fabian Abel
Comparison fields: 5 of 67
  • Communication 141
  • Statistical and Nonlinear Physics 248
  • Information Systems 433
  • Computer Science Applications 87
  • Artificial Intelligence 382
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Ayşe Göker United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Fabian Abel

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Abel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012137
2 2012124
3 201281
4 201170
5 200963
6 201745
7 201338
8 202133
9
Twitter-based user modeling for news recommendations
201325
10 201025
11 201623
12
What makes a tweet relevant for a topic
201221
13 201117
14 201014
15
Personal Reader Agent: Personalized Access to Configurable Web Services
20069
16
A framework for flexible user profile mashups
20099
17 20099
18 20088
19 20158
20 20087

About Fabian Abel

Fabian Abel is a scholar working on Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing and Computer Networks and Communications, having authored 39 papers that have together received 825 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Web Data Mining and Analysis (12 papers), Semantic Web and Ontologies (9 papers), Complex Network Analysis Techniques (9 papers), Service-Oriented Architecture and Web Services (5 papers), Data Management and Algorithms (5 papers), Topic Modeling (5 papers) and Authorship Attribution and Profiling (4 papers). The work is most often cited by research in Communication (141 citations), Statistical and Nonlinear Physics (248 citations), Information Systems (433 citations), Computer Science Applications (87 citations) and Artificial Intelligence (382 citations). Fabian Abel has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Geert‐Jan Houben, Ke Tao, Daniel Krause, Nicola Henze, Claudia Hauff, Eelco Herder, Qi Gao, Evandro Costa, Mehdi Elahi and Ig Ibert Bittencourt. Their work appears in journals such as IEEE Transactions on Learning Technologies, New Review of Hypermedia and Multimedia, User Modeling and User-Adapted Interaction, International Journal of Continuing Engineering Education and Life-Long Learning and TU/e Research Portal.

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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