Sven Groppe
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jinghua GroppeVolker LinnemannStefan BöttcherStefan WernerThilo PionteckLe GruenwaldDennis PfistererKay Römer
- Topics
- Advanced Database Systems and Queries (51 papers)Semantic Web and Ontologies (43 papers)Data Management and Algorithms (29 papers)
- Journals
- Information SciencesIEEE Transactions on Knowledge and Data EngineeringProceedings of the VLDB Endowment
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Sven Groppe
91 papers receiving 538 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 365
- Computer Networks and Communications 354
- Information Systems 148
- Signal Processing 105
- Computer Vision and Pattern Recognition 77
Countries citing papers authored by Sven Groppe
This map shows the geographic impact of Sven Groppe'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 Sven Groppe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Groppe more than expected).
Fields of papers citing papers by Sven Groppe
This network shows the impact of papers produced by Sven Groppe. 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 Sven Groppe. The network helps show where Sven Groppe may publish in the future.
Co-authorship network of co-authors of Sven Groppe
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Groppe. A scholar is included among the top collaborators of Sven Groppe 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 Sven Groppe. Sven Groppe 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | Parallelizing Approximate Search on Adaptive Radix Trees. | 3 |
| 13 | Hardware Accelerating the Optimization of Transaction Schedules via Quantum Annealing by Avoiding Blocking. | 13 |
| 14 | Code Generation for Big Data Processing in the Web using WebAssembly | 1 |
| 15 | A Self-Optimizing Cloud Computing System for Distributed Storage and Processing of Semantic Web Data | 2 |
| 16 | 2 | |
| 17 | Using XSLT Stylesheets to Transform XPath Queries | 4 |
| 18 | Query Reformulation for the XML standards XPath, XQuery and XSLT. | 1 |
| 19 | Querying transformed XML documents: Determining a sufficient fragment of the original document. | 4 |
| 20 | Automated Data Mapping for Cross Enterprise Data Integration. | 4 |
About Sven Groppe
Sven Groppe is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 108 papers that have together received 583 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (51 papers), Semantic Web and Ontologies (43 papers) and Data Management and Algorithms (29 papers). The work is most often cited by research in Computer Networks and Communications (354 citations), Artificial Intelligence (365 citations) and Signal Processing (105 citations). Sven Groppe has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Jinghua Groppe, Volker Linnemann, Stefan Böttcher, Stefan Werner, Thilo Pionteck, Le Gruenwald, Dennis Pfisterer, Kay Römer, Richard Mietz and Stefan Fischer. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.
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.