A. Reinefeld
- Computer Networks and Communications top 5%
- Artificial Intelligence
- Hardware and Architecture top 10%
- Information Systems top 10%
- Information Systems and Management top 10%
- Co-authors
- T.A. MarslandFlorian SchintkeThorsten SchüttVolker SchneckeAxel KellerKelly DavisAndrei HutanuBrygg Ullmer
- Topics
- Distributed and Parallel Computing Systems (11 papers)Parallel Computing and Optimization Techniques (7 papers)Cloud Computing and Resource Management (4 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsInformation Systems and Management
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEEConcurrency and Computation Practice and Experience
- Partner nations
- GermanyItalyNetherlands
In The Last Decade
A. Reinefeld
14 papers receiving 236 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 208
- Artificial Intelligence 83
- Hardware and Architecture 79
- Information Systems 73
- Information Systems and Management 45
Countries citing papers authored by A. Reinefeld
This map shows the geographic impact of A. Reinefeld'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 A. Reinefeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Reinefeld more than expected).
Fields of papers citing papers by A. Reinefeld
This network shows the impact of papers produced by A. Reinefeld. 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 A. Reinefeld. The network helps show where A. Reinefeld may publish in the future.
Co-authorship network of co-authors of A. Reinefeld
This figure shows the co-authorship network connecting the top 25 collaborators of A. Reinefeld. A scholar is included among the top collaborators of A. Reinefeld 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 A. Reinefeld. A. Reinefeld 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 | 15 | |
| 3 | 19 | |
| 4 | 68 | |
| 5 | Self Management of Large-Scale Distributed Systems by Combining Peer-to-Peer Networks and Components | 5 |
| 6 | 17 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | Next Generation Grid(s) | 6 |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 82 |
About A. Reinefeld
A. Reinefeld is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 15 papers that have together received 275 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (11 papers), Parallel Computing and Optimization Techniques (7 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Hardware and Architecture (79 citations), Computer Networks and Communications (208 citations) and Information Systems and Management (45 citations). A. Reinefeld has collaborated with scholars based in Germany, Italy and Netherlands. Frequent co-authors include T.A. Marsland, Florian Schintke, Thorsten Schütt, Volker Schnecke, Axel Keller, Kelly Davis, Andrei Hutanu, Brygg Ullmer, Hartmut Kaiser and Gabrielle Allen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Concurrency and Computation Practice and Experience.
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.