Luo Mai
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Paolo CostaPeter PietzuchAlexander L. WolfAlexandros KoliousisLukas RupprechtMatteo MigliavaccaMatthias WeidlichXiangzeng Liu
- Topics
- Cloud Computing and Resource Management (8 papers)Software-Defined Networks and 5G (4 papers)Stochastic Gradient Optimization Techniques (4 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Luo Mai
18 papers receiving 290 citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 163
- Information Systems 107
- Artificial Intelligence 90
- Computer Vision and Pattern Recognition 68
- Electrical and Electronic Engineering 34
Countries citing papers authored by Luo Mai
This map shows the geographic impact of Luo Mai'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 Luo Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luo Mai more than expected).
Fields of papers citing papers by Luo Mai
This network shows the impact of papers produced by Luo Mai. 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 Luo Mai. The network helps show where Luo Mai may publish in the future.
Co-authorship network of co-authors of Luo Mai
This figure shows the co-authorship network connecting the top 25 collaborators of Luo Mai. A scholar is included among the top collaborators of Luo Mai 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 Luo Mai. Luo Mai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 26 | |
| 4 | 1 | |
| 5 | KungFu: Making Training in Distributed Machine Learning Adaptive | 9 |
| 6 | 30 | |
| 7 | Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources | 5 |
| 8 | 15 | |
| 9 | 35 | |
| 10 | 50 | |
| 11 | 18 | |
| 12 | 8 | |
| 13 | Towards a network marketplace in a cloud | 2 |
| 14 | Optimizing network performance in distributed machine learning | 25 |
| 15 | 58 | |
| 16 | Exploiting Time-Malleability in Cloud-based Batch Processing Systems | 5 |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 2 |
About Luo Mai
Luo Mai is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 19 papers that have together received 305 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (8 papers), Software-Defined Networks and 5G (4 papers) and Stochastic Gradient Optimization Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (163 citations), Information Systems (107 citations) and Hardware and Architecture (30 citations). Luo Mai has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Paolo Costa, Peter Pietzuch, Alexander L. Wolf, Alexandros Koliousis, Lukas Rupprecht, Matteo Migliavacca, Matthias Weidlich, Xiangzeng Liu, Jian Ji and Qiguang Miao. Their work appears in journals such as IEEE Access, Proceedings of the VLDB Endowment and Heliyon.
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.