Michael Hartung
- Artificial Intelligence top 5%
- Molecular Biology
- Management Science and Operations Research top 5%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Erhard RahmAnika GroßToralf KirstenAxel-Cyrille Ngonga NgomoE. SalingKay PrüferJan BaumbachJanet Kelso
- Topics
- Semantic Web and Ontologies (15 papers)Biomedical Text Mining and Ontologies (14 papers)Bioinformatics and Genomic Networks (5 papers)
In The Last Decade
Michael Hartung
29 papers receiving 397 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 276
- Molecular Biology 221
- Management Science and Operations Research 97
- Information Systems 90
- Computer Networks and Communications 68
Countries citing papers authored by Michael Hartung
This map shows the geographic impact of Michael Hartung'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 Michael Hartung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hartung more than expected).
Fields of papers citing papers by Michael Hartung
This network shows the impact of papers produced by Michael Hartung. 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 Michael Hartung. The network helps show where Michael Hartung may publish in the future.
Co-authorship network of co-authors of Michael Hartung
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hartung. A scholar is included among the top collaborators of Michael Hartung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Hartung. Michael Hartung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | Composition Methods for Link Discovery. | 2 |
| 8 | 13 | |
| 9 | GOMMA results for OAEI 2012 | 17 |
| 10 | 44 | |
| 11 | Mapping Composition for Matching Large Life Science Ontologies. | 20 |
| 12 | 50 | |
| 13 | An Evolutionbased Approach for Assessing Ontology Mappings - A Case Study in the Life Sciences. | 2 |
| 14 | 2 | |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | A Grid Middleware for Ontology Access | 2 |
| 19 | 5 | |
| 20 | Quality-Aware Mining of Data Streams. | 7 |
About Michael Hartung
Michael Hartung is a scholar working on Artificial Intelligence, Information Systems and Management and Agronomy and Crop Science, having authored 34 papers that have together received 434 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (15 papers), Biomedical Text Mining and Ontologies (14 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Artificial Intelligence (276 citations), Management Science and Operations Research (97 citations) and Information Systems and Management (39 citations). Michael Hartung has collaborated with scholars based in Germany, Denmark and Australia. Frequent co-authors include Erhard Rahm, Anika Groß, Toralf Kirsten, Axel-Cyrille Ngonga Ngomo, E. Saling, Kay Prüfer, Jan Baumbach, Janet Kelso, Markus List and Anette Weisbecker. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.
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.