Jürgen Umbrich
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- Data Quality and Management 20
- Artificial Intelligence top 1%
- Semantic Web and Ontologies 35
- Advanced Graph Neural Networks 4
- Information Systems top 1%
- Web Data Mining and Analysis 13
- Service-Oriented Architecture and Web Services 6
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- Advanced Database Systems and Queries 20
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- Biomedical Text Mining and Ontologies 4
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- E-Government and Public Services 4
Jürgen Umbrich
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Management Science and Operations Research 497
- Artificial Intelligence 943
- Information Systems 520
- Information Systems and Management 123
- Computer Networks and Communications 366
Countries citing papers authored by Jürgen Umbrich
This map shows the geographic impact of Jürgen Umbrich'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 Jürgen Umbrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Umbrich more than expected).
Fields of papers citing papers by Jürgen Umbrich
This network shows the impact of papers produced by Jürgen Umbrich. 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 Jürgen Umbrich. The network helps show where Jürgen Umbrich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jürgen Umbrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 9 | |
| 2 | 2020 | 29 | |
| 3 | 2019 | 2 | |
| 4 | 2017 | 4 | |
| 5 | 2016 | 26 | |
| 6 | 2016 | 105 | |
| 7 | 2015 | 46 | |
| 8 | 2015 | 7 | |
| 9 | SPARQL: A Gateway to Open Data on the Web? | 2014 | 1 |
| 10 | Monitoring the status of SPARQL endpoints | 2013 | 5 |
| 11 | 2013 | 2 | |
| 12 | 2012 | 3 | |
| 13 | Towards a Dynamic Linked Data Observatory | 2012 | 21 |
| 14 | Towards Understanding the Changing Web: Mining the Dynamics of Linked-Data Sources and Entities. | 2010 | 8 |
| 15 | Some entities are more equal than others: statistical methods to consolidate Linked Data | 2010 | 24 |
| 16 | LDspider: an open-source crawling framework for the web of linked data | 2010 | 49 |
| 17 | 2010 | 104 | |
| 18 | Dataset dynamics compendium: a comparative study | 2010 | 14 |
| 19 | Fast and Scalable Pattern Mining for Media-Type Focused Crawling | 2009 | 4 |
| 20 | 2007 | 34 |
About Jürgen Umbrich
Jürgen Umbrich is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Information Systems and Signal Processing, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (35 papers), Advanced Database Systems and Queries (20 papers), Data Quality and Management (20 papers), Web Data Mining and Analysis (13 papers), Service-Oriented Architecture and Web Services (6 papers), Biomedical Text Mining and Ontologies (4 papers), E-Government and Public Services (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Management Science and Operations Research (497 citations), Artificial Intelligence (943 citations), Information Systems (520 citations), Information Systems and Management (123 citations) and Computer Networks and Communications (366 citations). Jürgen Umbrich has collaborated with scholars based in Austria, Ireland and Germany. Frequent co-authors include Axel Polleres, Aidan Hogan, Andreas Harth, Sebastian Neumaier, Stefan Decker, Marcel Karnstedt, Katja Hose, Sheila Kinsella, Sylvain Kubler and Yves Le Traon. Their work appears in journals such as Journal of Web Semantics, Semantic Web, Government Information Quarterly, Journal of Data and Information Quality and World Wide Web.
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.