Lukas Reinfurt
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Topics
- IoT and Edge/Fog Computing (3 papers)Context-Aware Activity Recognition Systems (3 papers)Cloud Computing and Resource Management (3 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsIndustrial and Manufacturing Engineering
- Journals
- Fachbereich Informatik (University of Stuttgart)OPUS Publication Server of the University of Stuttgart (University of Stuttgart)IEEE Conference Proceedings
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Lukas Reinfurt
6 papers receiving 187 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 136
- Information Systems 82
- Electrical and Electronic Engineering 37
- Computer Vision and Pattern Recognition 33
- Artificial Intelligence 25
Countries citing papers authored by Lukas Reinfurt
This map shows the geographic impact of Lukas Reinfurt'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 Lukas Reinfurt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Reinfurt more than expected).
Fields of papers citing papers by Lukas Reinfurt
This network shows the impact of papers produced by Lukas Reinfurt. 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 Lukas Reinfurt. The network helps show where Lukas Reinfurt may publish in the future.
Co-authorship network of co-authors of Lukas Reinfurt
This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Reinfurt. A scholar is included among the top collaborators of Lukas Reinfurt 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 Lukas Reinfurt. Lukas Reinfurt 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 | Internet of Things Patterns for Devices | 13 |
| 3 | 6 | |
| 4 | Comparison of IoT platform architectures: A field study based on a reference architecture | 2 |
| 5 | 122 | |
| 6 | 40 | |
| 7 | 7 | |
| 8 | 0 |
About Lukas Reinfurt
Lukas Reinfurt is a scholar working on Information Systems and Management, Software and Computer Networks and Communications, having authored 8 papers that have together received 190 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Computer Networks and Communications (136 citations), Information Systems (82 citations) and Industrial and Manufacturing Engineering (17 citations). Lukas Reinfurt has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Frank Leymann, Michael Falkenthal, Uwe Breitenbücher, Jasmin Guth and Florian Haupt. Their work appears in journals such as Fachbereich Informatik (University of Stuttgart), OPUS Publication Server of the University of Stuttgart (University of Stuttgart) and IEEE Conference Proceedings.
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.