Lisa Ehrlinger
Impact in
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- Data Quality and Management
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- Big Data and Business Intelligence
Papers in
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- Data Quality and Management 24
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- Semantic Web and Ontologies 15
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Wolfram Wöß (16 shared papers)Verena Geist (4 shared papers)Werner Zellinger (2 shared papers)Rudolf Ramler (2 shared papers)Lukas Fischer (2 shared papers)David James Brunner (1 shared paper)Thomas Grubinger (1 shared paper)Mario Pichler (1 shared paper)
- Journals
- IEEE Access (1 paper)ACM SIGMOD Record (1 paper)Journal of Data and Information Quality (1 paper)Lecture notes in computer science (5 papers)Lecture notes in business information processing (1 paper)
- Partner nations
- AustriaGermanyNetherlands
In The Last Decade
Lisa Ehrlinger
31 papers receiving 585 citations
Lisa Ehrlinger's Hit Papers
Peers
Comparison fields: 5 of 87
- Management Science and Operations Research 209
- Management Information Systems 106
- Artificial Intelligence 324
- Information Systems and Management 53
- Information Systems 157
Countries citing papers authored by Lisa Ehrlinger
This map shows the geographic impact of Lisa Ehrlinger'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 Lisa Ehrlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Ehrlinger more than expected).
Fields of papers citing papers by Lisa Ehrlinger
This network shows the impact of papers produced by Lisa Ehrlinger. 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 Lisa Ehrlinger. The network helps show where Lisa Ehrlinger may publish in the future.
Co-authors
The 21 scholars most cited alongside Lisa Ehrlinger, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Towards a Definition of Knowledge Graphs. Hit paper breakdown → | 2016 | 305 |
| 2 | 2022 | 107 | |
| 3 | 2020 | 37 | |
| 4 | 2019 | 33 | |
| 5 | 2018 | 18 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 13 | |
| 8 | Automated Continuous Data Quality Measurement with QuaIIe | 2018 | 11 |
| 9 | 2019 | 9 | |
| 10 | Automated Data Quality Monitoring. | 2017 | 8 |
| 11 | 2019 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | Semi-Automatically Generated Hybrid Ontologies for Information Integration. | 2015 | 3 |
| 18 | QuaIIe: A Data Quality Assessment Tool for Integrated Information Systems | 2018 | 3 |
| 19 | Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools | 2021 | 3 |
| 20 | 2022 | 3 |
About Lisa Ehrlinger
Lisa Ehrlinger is a scholar working on Management Science and Operations Research, Artificial Intelligence, Information Systems, Management Information Systems and Computer Networks and Communications, having authored 34 papers that have together received 610 indexed citations. Recurring topics across this work include Data Quality and Management (24 papers), Semantic Web and Ontologies (15 papers), Data Mining Algorithms and Applications (9 papers), Advanced Database Systems and Queries (4 papers), Big Data and Business Intelligence (4 papers), Business Process Modeling and Analysis (3 papers), Software Engineering Research (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Management Science and Operations Research (209 citations), Management Information Systems (106 citations), Artificial Intelligence (324 citations), Information Systems and Management (53 citations) and Information Systems (157 citations). Lisa Ehrlinger has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Wolfram Wöß, Verena Geist, Werner Zellinger, Rudolf Ramler, Lukas Fischer, David James Brunner, Thomas Grubinger, Mario Pichler, Thomas Natschläger and Georg Buchgeher. Their work appears in journals such as IEEE Access, ACM SIGMOD Record, Journal of Data and Information Quality, Lecture notes in computer science and Lecture notes in business information processing.
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.