Eric Peukert
Impact in
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- Data Quality and Management
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Topic Modeling
Papers in
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- Semantic Web and Ontologies 17
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- Service-Oriented Architecture and Web Services 7
- Data Mining Algorithms and Applications 3
- Co-authors
- Erhard Rahm (22 shared papers)Sabine Maßmann (1 shared paper)Mehrdad Rostami (2 shared papers)Wolfgang E. Nagel (2 shared papers)René Jäkel (3 shared papers)Andrea Buda (1 shared paper)Stefan Kühne (2 shared papers)Wolfgang Lehner (2 shared papers)
- Journals
- Lecture notes in computer science (4 papers)Communications in computer and information science (1 paper)it - Information Technology (1 paper)Procedia CIRP (1 paper)Encyclopedia of Big Data Technologies (6 papers)
In The Last Decade
Eric Peukert
25 papers receiving 250 citations
Peers
Comparison fields: 5 of 29
- Management Science and Operations Research 171
- Artificial Intelligence 198
- Information Systems 106
- Computer Networks and Communications 76
- Signal Processing 33
Countries citing papers authored by Eric Peukert
This map shows the geographic impact of Eric Peukert'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 Eric Peukert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Peukert more than expected).
Fields of papers citing papers by Eric Peukert
This network shows the impact of papers produced by Eric Peukert. 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 Eric Peukert. The network helps show where Eric Peukert may publish in the future.
Co-authors
The 16 scholars most cited alongside Eric Peukert, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 45 | |
| 2 | 2018 | 42 | |
| 3 | 2017 | 35 | |
| 4 | 2010 | 28 | |
| 5 | 2012 | 24 | |
| 6 | Comparing Similarity Combination Methods for Schema Matching. | 2010 | 23 |
| 7 | 2018 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2011 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2019 | 2 |
About Eric Peukert
Eric Peukert is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Networks and Communications and Molecular Biology, having authored 27 papers that have together received 270 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (17 papers), Data Quality and Management (10 papers), Advanced Database Systems and Queries (8 papers), Service-Oriented Architecture and Web Services (7 papers), Biomedical Text Mining and Ontologies (6 papers), Data Visualization and Analytics (3 papers), Data Mining Algorithms and Applications (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Management Science and Operations Research (171 citations), Artificial Intelligence (198 citations), Information Systems (106 citations), Computer Networks and Communications (76 citations) and Signal Processing (33 citations). Eric Peukert has collaborated with scholars based in Germany, Italy and Finland. Frequent co-authors include Erhard Rahm, Sabine Maßmann, Mehrdad Rostami, Wolfgang E. Nagel, René Jäkel, Andrea Buda, Stefan Kühne, Wolfgang Lehner, Dimitris Kiritsis and Fabian Gärtner. Their work appears in journals such as Lecture notes in computer science, Communications in computer and information science, it - Information Technology, Procedia CIRP and Encyclopedia of Big Data Technologies.
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.