Antti Ylä-Jääski
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 5%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Co-authors
- Yu XiaoMatti SiekkinenMario Di FrancescoZhonghong OuAbbas MehrabiAndrey LukyanenkoNguyen Trung HieuPan Hui
- Topics
- Caching and Content Delivery (31 papers)Opportunistic and Delay-Tolerant Networks (20 papers)Green IT and Sustainability (16 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
In The Last Decade
Antti Ylä-Jääski
107 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 1.7k
- Electrical and Electronic Engineering 923
- Information Systems 665
- Computer Vision and Pattern Recognition 549
- Artificial Intelligence 231
Countries citing papers authored by Antti Ylä-Jääski
This map shows the geographic impact of Antti Ylä-Jääski'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 Antti Ylä-Jääski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antti Ylä-Jääski more than expected).
Fields of papers citing papers by Antti Ylä-Jääski
This network shows the impact of papers produced by Antti Ylä-Jääski. 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 Antti Ylä-Jääski. The network helps show where Antti Ylä-Jääski may publish in the future.
Co-authorship network of co-authors of Antti Ylä-Jääski
This figure shows the co-authorship network connecting the top 25 collaborators of Antti Ylä-Jääski. A scholar is included among the top collaborators of Antti Ylä-Jääski 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 Antti Ylä-Jääski. Antti Ylä-Jääski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 16 | |
| 3 | 87 | |
| 4 | 8 | |
| 5 | 85 | |
| 6 | 88 | |
| 7 | 169 | |
| 8 | 7 | |
| 9 | 121 | |
| 10 | 9 | |
| 11 | 8th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2015), Limassol, Cyprus, December 07-10, 2015 | 2 |
| 12 | 39 | |
| 13 | 20 | |
| 14 | 15 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | Exploiting hardware heterogeneity within the same instance type of Amazon EC2 | 69 |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 0 |
About Antti Ylä-Jääski
Antti Ylä-Jääski is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 111 papers that have together received 2.4k indexed citations. Recurring topics across this work include Caching and Content Delivery (31 papers), Opportunistic and Delay-Tolerant Networks (20 papers) and Green IT and Sustainability (16 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Information Systems (665 citations) and Computer Vision and Pattern Recognition (549 citations). Antti Ylä-Jääski has collaborated with scholars based in Finland, China and Hong Kong. Frequent co-authors include Yu Xiao, Matti Siekkinen, Mario Di Francesco, Zhonghong Ou, Abbas Mehrabi, Andrey Lukyanenko, Nguyen Trung Hieu, Pan Hui, Chao Zhu and Giancarlo Pastor. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Communications Surveys & Tutorials.
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.