Ruben Mayer
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- Hans‐Arno JacobsenKurt RothermelBoris KoldehofeUmakishore RamachandranMuhammad Adnan TariqHarshit GuptaBeate OttenwälderShiqiang Wang
- Topics
- Cloud Computing and Resource Management (12 papers)Caching and Content Delivery (9 papers)Graph Theory and Algorithms (8 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- ACM Computing SurveysIEEE Internet of Things JournalIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Ruben Mayer
35 papers receiving 502 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 311
- Information Systems 213
- Artificial Intelligence 193
- Computer Vision and Pattern Recognition 146
- Electrical and Electronic Engineering 57
Countries citing papers authored by Ruben Mayer
This map shows the geographic impact of Ruben Mayer'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 Ruben Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruben Mayer more than expected).
Fields of papers citing papers by Ruben Mayer
This network shows the impact of papers produced by Ruben Mayer. 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 Ruben Mayer. The network helps show where Ruben Mayer may publish in the future.
Co-authorship network of co-authors of Ruben Mayer
This figure shows the co-authorship network connecting the top 25 collaborators of Ruben Mayer. A scholar is included among the top collaborators of Ruben Mayer 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 Ruben Mayer. Ruben Mayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 40 | |
| 13 | 20 | |
| 14 | 6 | |
| 15 | 65 | |
| 16 | Demo Abstract: Fog Computing for Improving User Application Interaction and Context Awareness | 6 |
| 17 | 14 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 12 |
About Ruben Mayer
Ruben Mayer is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 37 papers that have together received 516 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (12 papers), Caching and Content Delivery (9 papers) and Graph Theory and Algorithms (8 papers). The work is most often cited by research in Computer Networks and Communications (311 citations), Information Systems (213 citations) and Computer Vision and Pattern Recognition (146 citations). Ruben Mayer has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Hans‐Arno Jacobsen, Kurt Rothermel, Boris Koldehofe, Umakishore Ramachandran, Muhammad Adnan Tariq, Harshit Gupta, Beate Ottenwälder, Shiqiang Wang, Yuandou Wang and Vincenzo Gulisano. Their work appears in journals such as ACM Computing Surveys, IEEE Internet of Things Journal and IEEE Transactions on Parallel and Distributed Systems.
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.