Ralph Busse
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
Papers in ⓘ
-
- Data Management and Algorithms 5
-
- Advanced Database Systems and Queries 6
- Co-authors
- Florian Waas (3 shared papers)Ioana Manolescu (3 shared papers)Martin Kersten (3 shared papers)Michael J. Carey (3 shared papers)Albrecht Schmidt (3 shared papers)Daniela Florescu (2 shared papers)Péter Fankhauser (3 shared papers)Wolfgang Klas (1 shared paper)
- Journals
- ACM SIGMOD Record (1 paper)Journal of Integrated Design and Process Science (1 paper)Data Archiving and Networked Services (DANS) (1 paper)UvA-DARE (University of Amsterdam) (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Ralph Busse
5 papers receiving 191 citations
Peers
Comparison fields: 5 of 21
- Signal Processing 143
- Computer Networks and Communications 200
- Artificial Intelligence 162
- Information Systems 41
- Software 5
Countries citing papers authored by Ralph Busse
This map shows the geographic impact of Ralph Busse'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 Ralph Busse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Busse more than expected).
Fields of papers citing papers by Ralph Busse
This network shows the impact of papers produced by Ralph Busse. 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 Ralph Busse. The network helps show where Ralph Busse may publish in the future.
Co-authors
The 8 scholars most cited alongside Ralph Busse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The XML benchmark project | 2001 | 155 |
| 2 | 2001 | 31 | |
| 3 | A Benchmark for XML Data Management | 2002 | 30 |
| 4 | IRO-DB An Object-Oriented Approach towards Federated and Interoperable DBMS (Invited Paper). | 1994 | 5 |
| 5 | 1999 | 3 | |
| 6 | 1999 | 1 |
About Ralph Busse
Ralph Busse is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 225 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Semantic Web and Ontologies (5 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Signal Processing (143 citations), Computer Networks and Communications (200 citations), Artificial Intelligence (162 citations), Information Systems (41 citations) and Software (5 citations). Ralph Busse has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Florian Waas, Ioana Manolescu, Martin Kersten, Michael J. Carey, Albrecht Schmidt, Daniela Florescu, Péter Fankhauser and Wolfgang Klas. Their work appears in journals such as ACM SIGMOD Record, Journal of Integrated Design and Process Science, Data Archiving and Networked Services (DANS), UvA-DARE (University of Amsterdam) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.