Lisa Ehrlinger
Impact in
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- Data Quality and Management
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Topic Modeling
- Natural Language Processing Techniques
Papers in ⓘ
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- Data Quality and Management 11
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- Data Mining Algorithms and Applications 4
- Recommender Systems and Techniques 1
- Co-authors
- Wolfram Wöß (8 shared papers)Werner Zellinger (1 shared paper)Verena Geist (2 shared papers)Lukas Fischer (1 shared paper)Thomas Grubinger (1 shared paper)Rudolf Ramler (1 shared paper)David James Brunner (1 shared paper)Mohit Kumar (1 shared paper)
- Journals
- Journal of Data and Information Quality (1 paper)ACM SIGMOD Record (1 paper)IEEE Access (1 paper)SHILAP Revista de lepidopterología (1 paper)University Library Linz repository (Johannes Kepler Universitat Linz) (1 paper)
- Partner nations
- AustriaGermanyNetherlands
In The Last Decade
Lisa Ehrlinger
15 papers receiving 397 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Management Science and Operations Research 127
- Artificial Intelligence 232
- Management Information Systems 59
- Information Systems 94
- Health Information Management 18
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 18 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
| # | Work | ||
|---|---|---|---|
| 1 | Towards a Definition of Knowledge Graphs. Hit paper breakdown → | 2016 | 264 |
| 2 | 2022 | 76 | |
| 3 | 2020 | 29 | |
| 4 | 2018 | 16 | |
| 5 | Automated Continuous Data Quality Measurement with QuaIIe | 2018 | 8 |
| 6 | Automated Data Quality Monitoring. | 2017 | 4 |
| 7 | 2023 | 4 | |
| 8 | 2021 | 4 | |
| 9 | Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools | 2021 | 3 |
| 10 | 2021 | 3 | |
| 11 | 2023 | 2 | |
| 12 | Tackling Semantic Shift in Industrial Streaming Data Over Time | 2020 | 1 |
| 13 | QuaIIe: A Data Quality Assessment Tool for Integrated Information Systems | 2018 | 1 |
| 14 | 2021 | 1 | |
| 15 | Semi-Automatically Generated Hybrid Ontologies for Information Integration. | 2015 | 1 |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Lisa Ehrlinger
Lisa Ehrlinger is a scholar working on Management Science and Operations Research, Information Systems, Artificial Intelligence, Statistics and Probability and Management Information Systems, having authored 19 papers that have together received 417 indexed citations. Recurring topics across this work include Data Quality and Management (11 papers), Semantic Web and Ontologies (6 papers), Data Mining Algorithms and Applications (4 papers), Advanced Database Systems and Queries (4 papers), Statistical Methods and Bayesian Inference (2 papers), Recommender Systems and Techniques (1 paper), Customer churn and segmentation (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Management Science and Operations Research (127 citations), Artificial Intelligence (232 citations), Management Information Systems (59 citations), Information Systems (94 citations) and Health Information Management (18 citations). Lisa Ehrlinger has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Wolfram Wöß, Werner Zellinger, Verena Geist, Lukas Fischer, Thomas Grubinger, Rudolf Ramler, David James Brunner, Mohit Kumar, Mario Pichler and Thomas Natschläger. Their work appears in journals such as Journal of Data and Information Quality, ACM SIGMOD Record, IEEE Access, SHILAP Revista de lepidopterología and University Library Linz repository (Johannes Kepler Universitat Linz).
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.