Ralph Retter
Impact in
- Information Systems top 2%
- Cloud Computing and Resource Management
- Service-Oriented Architecture and Web Services
- Cloud Data Security Solutions
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- Software System Performance and Reliability
- IoT and Edge/Fog Computing
- Advanced Database Systems and Queries
- Distributed and Parallel Computing Systems
Papers in
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- Cloud Computing and Resource Management 3
- Service-Oriented Architecture and Web Services 2
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- Advanced Database Systems and Queries 2
- Distributed and Parallel Computing Systems 1
- Co-authors
- Frank Leymann (5 shared papers)Christoph Fehling (5 shared papers)Walter Schupeck (3 shared papers)Peter Arbitter (2 shared papers)David Schumm (1 shared paper)Daniel Schleicher (1 shared paper)Dimka Karastoyanova (1 shared paper)
- Journals
- IEEE Internet Computing (1 paper)Service Oriented Computing and Applications (1 paper)Fachbereich Informatik (University of Stuttgart) (2 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- Germany
In The Last Decade
Ralph Retter
5 papers receiving 304 citations
Peers
Comparison fields: 5 of 38
- Information Systems 273
- Computer Networks and Communications 240
- Management Information Systems 38
- Software 15
- Artificial Intelligence 89
Countries citing papers authored by Ralph Retter
This map shows the geographic impact of Ralph Retter'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 Retter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Retter more than expected).
Fields of papers citing papers by Ralph Retter
This network shows the impact of papers produced by Ralph Retter. 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 Retter. The network helps show where Ralph Retter may publish in the future.
Co-authors
The 7 scholars most cited alongside Ralph Retter, 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 | 2014 | 180 | |
| 2 | 2014 | 97 | |
| 3 | 2011 | 28 | |
| 4 | 2011 | 22 | |
| 5 | 2014 | 6 |
About Ralph Retter
Ralph Retter is a scholar working on Information Systems, Computer Networks and Communications, Management Information Systems, Artificial Intelligence and Development, having authored 5 papers that have together received 333 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (3 papers), Advanced Database Systems and Queries (2 papers), Service-Oriented Architecture and Web Services (2 papers), Software Engineering and Design Patterns (1 paper), Big Data and Business Intelligence (1 paper), Distributed and Parallel Computing Systems (1 paper), Advanced Software Engineering Methodologies (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Information Systems (273 citations), Computer Networks and Communications (240 citations), Management Information Systems (38 citations), Software (15 citations) and Artificial Intelligence (89 citations). Ralph Retter has collaborated with scholars based in Germany. Frequent co-authors include Frank Leymann, Christoph Fehling, Walter Schupeck, Peter Arbitter, David Schumm, Daniel Schleicher and Dimka Karastoyanova. Their work appears in journals such as IEEE Internet Computing, Service Oriented Computing and Applications, Fachbereich Informatik (University of Stuttgart) and CERN Document Server (European Organization for Nuclear Research).
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.