Achim Rettinger
- Artificial Intelligence top 5%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Michael FärberVolker TrespAditya MogadalaHeni Ben AmorYi HuangMatthias NicklesMarkus BundschusNicola Fanizzi
- Topics
- Semantic Web and Ontologies (19 papers)Topic Modeling (15 papers)Natural Language Processing Techniques (13 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Achim Rettinger
48 papers receiving 609 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 470
- Information Systems 173
- Management Science and Operations Research 128
- Computer Vision and Pattern Recognition 80
- Computer Networks and Communications 67
Countries citing papers authored by Achim Rettinger
This map shows the geographic impact of Achim Rettinger'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 Achim Rettinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Achim Rettinger more than expected).
Fields of papers citing papers by Achim Rettinger
This network shows the impact of papers produced by Achim Rettinger. 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 Achim Rettinger. The network helps show where Achim Rettinger may publish in the future.
Co-authorship network of co-authors of Achim Rettinger
This figure shows the co-authorship network connecting the top 25 collaborators of Achim Rettinger. A scholar is included among the top collaborators of Achim Rettinger 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 Achim Rettinger. Achim Rettinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | A Semantic Framework for Sequential Decision Making. | 1 |
| 6 | 5 | |
| 7 | 48 | |
| 8 | Exploiting Knowledge Bases for Multilingual and Cross-lingual Semantic Annotation and Search | 1 |
| 9 | 6 | |
| 10 | RECSA: Resource for Evaluating Cross-lingual Semantic Annotation | 1 |
| 11 | Using linked data and web APIs for automating the pre-processing of medical images | 3 |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | 18 | |
| 18 | 11 | |
| 19 | Boosting expert ensembles for rapid concept recall | 7 |
| 20 | 29 |
About Achim Rettinger
Achim Rettinger is a scholar working on Computational Mathematics, Artificial Intelligence and Signal Processing, having authored 50 papers that have together received 645 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (19 papers), Topic Modeling (15 papers) and Natural Language Processing Techniques (13 papers). The work is most often cited by research in Computational Mathematics (14 citations), Artificial Intelligence (470 citations) and Management Science and Operations Research (128 citations). Achim Rettinger has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Michael Färber, Volker Tresp, Aditya Mogadala, Heni Ben Amor, Yi Huang, Matthias Nickles, Markus Bundschus, Nicola Fanizzi, Claudia d’Amato and Lei Zhang. Their work appears in journals such as Machine Learning, Proceedings of the VLDB Endowment and IEEE Intelligent Systems.
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.