K. Bernhard Schiefer
About
In The Last Decade
K. Bernhard Schiefer
10 papers receiving 271 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 241
- Signal Processing 148
- Artificial Intelligence 142
- Information Systems 97
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by K. Bernhard Schiefer
This map shows the geographic impact of K. Bernhard Schiefer'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 K. Bernhard Schiefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Bernhard Schiefer more than expected).
Fields of papers citing papers by K. Bernhard Schiefer
This network shows the impact of papers produced by K. Bernhard Schiefer. 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 K. Bernhard Schiefer. The network helps show where K. Bernhard Schiefer may publish in the future.
Co-authorship network of co-authors of K. Bernhard Schiefer
This figure shows the co-authorship network connecting the top 25 collaborators of K. Bernhard Schiefer. A scholar is included among the top collaborators of K. Bernhard Schiefer 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 K. Bernhard Schiefer. K. Bernhard Schiefer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | COMPASS: A Concept-based Web Search Engine for HTML, XML, and Deep Web Data | 1 |
| 2 | Proceedings of the Thirtieth international conference on Very large data bases - Volume 30 | 70 |
| 3 | Automatic Database Configuration for DB2 Universal Database: Compressing Years of Performance Expertise into Seconds of Execution. | 23 |
| 4 | DB2 Universal Database Performance Tuning. | 21 |
| 5 | Implementation of Two Semantic Query Optimization Techniques in DB2 Universal Database | 40 |
| 6 | IBM's DB2 Universal Database demonstrations at VLDB'98 | 1 |
| 7 | 4 | |
| 8 | 3 | |
| 9 | Query Optimization in the IBM DB2 Family. | 60 |
| 10 | 88 |
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.