Robert Jäschke
Impact in
- Computational Mathematics top 2%
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
Papers in
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- Recommender Systems and Techniques 23
- Web Data Mining and Analysis 12
- Data Mining Algorithms and Applications 7
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- Semantic Web and Ontologies 18
- Advanced Graph Neural Networks 14
- Co-authors
- Gerd Stumme (42 shared papers)Andreas Hotho (45 shared papers)Christoph Schmitz (18 shared papers)Lars Schmidt-Thieme (10 shared papers)Leandro Balby Marinho (10 shared papers)Stephan Doerfel (8 shared papers)Beate Krause (7 shared papers)Folke Mitzlaff (4 shared papers)
In The Last Decade
Robert Jäschke
61 papers receiving 2.3k citations
Robert Jäschke's Hit Papers
Peers
Comparison fields: 5 of 77
- Computational Mathematics 67
- Information Systems 1.8k
- Artificial Intelligence 1.4k
- Statistical and Nonlinear Physics 454
- Signal Processing 279
Countries citing papers authored by Robert Jäschke
This map shows the geographic impact of Robert Jäschke'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 Robert Jäschke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Jäschke more than expected).
Fields of papers citing papers by Robert Jäschke
This network shows the impact of papers produced by Robert Jäschke. 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 Robert Jäschke. The network helps show where Robert Jäschke may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Jäschke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Information Retrieval in Folksonomies: Search and Ranking Hit paper breakdown → | 2006 | 665 |
| 2 | Tag Recommendations in Folksonomies Hit paper breakdown → | 2007 | 410 |
| 3 | 2008 | 161 | |
| 4 | 2006 | 142 | |
| 5 | 2006 | 135 | |
| 6 | FolkRank: A Ranking Algorithm for Folksonomies | 2006 | 121 |
| 7 | 2006 | 91 | |
| 8 | 2007 | 87 | |
| 9 | 2010 | 84 | |
| 10 | 2006 | 78 | |
| 11 | 2006 | 60 | |
| 12 | 2010 | 50 | |
| 13 | 2011 | 46 | |
| 14 | Emergent Semantics in BibSonomy. | 2006 | 31 |
| 15 | 2012 | 28 | |
| 16 | 2014 | 24 | |
| 17 | 2011 | 23 | |
| 18 | 2009 | 22 | |
| 19 | 2008 | 22 | |
| 20 | 2013 | 16 |
About Robert Jäschke
Robert Jäschke is a scholar working on Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications and Signal Processing, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (23 papers), Semantic Web and Ontologies (18 papers), Complex Network Analysis Techniques (17 papers), Advanced Graph Neural Networks (14 papers), Web Data Mining and Analysis (12 papers), Data Management and Algorithms (10 papers), Advanced Database Systems and Queries (7 papers) and Data Mining Algorithms and Applications (7 papers). The work is most often cited by research in Computational Mathematics (67 citations), Information Systems (1.8k citations), Artificial Intelligence (1.4k citations), Statistical and Nonlinear Physics (454 citations) and Signal Processing (279 citations). Robert Jäschke has collaborated with scholars based in Germany, Brazil and Greece. Frequent co-authors include Gerd Stumme, Andreas Hotho, Christoph Schmitz, Lars Schmidt-Thieme, Leandro Balby Marinho, Stephan Doerfel, Beate Krause, Folke Mitzlaff, Dominik C. Benz and Bernhard Ganter. Their work appears in journals such as Lecture notes in computer science, AI Magazine, Semantic Web, Journal of Web Semantics and ACM Transactions on Intelligent Systems and Technology.
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.