Alexandros Daglis
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Babak FalsafiBoris GrotEdouard BugnionStanko NovakovićMark SutherlandDionisios PnevmatikatosDmitrii UstiugovSiddharth Gupta
- Topics
- Cloud Computing and Resource Management (20 papers)Parallel Computing and Optimization Techniques (12 papers)Interconnection Networks and Systems (9 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Alexandros Daglis
27 papers receiving 413 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 341
- Information Systems 221
- Hardware and Architecture 215
- Electrical and Electronic Engineering 100
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Alexandros Daglis
This map shows the geographic impact of Alexandros Daglis'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 Alexandros Daglis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandros Daglis more than expected).
Fields of papers citing papers by Alexandros Daglis
This network shows the impact of papers produced by Alexandros Daglis. 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 Alexandros Daglis. The network helps show where Alexandros Daglis may publish in the future.
Co-authorship network of co-authors of Alexandros Daglis
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandros Daglis. A scholar is included among the top collaborators of Alexandros Daglis 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 Alexandros Daglis. Alexandros Daglis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 32 | |
| 9 | 21 | |
| 10 | 1 | |
| 11 | 31 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 59 | |
| 15 | 21 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 21 | |
| 19 | 96 | |
| 20 | 13 |
About Alexandros Daglis
Alexandros Daglis is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 28 papers that have together received 422 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (20 papers), Parallel Computing and Optimization Techniques (12 papers) and Interconnection Networks and Systems (9 papers). The work is most often cited by research in Hardware and Architecture (215 citations), Computer Networks and Communications (341 citations) and Information Systems (221 citations). Alexandros Daglis has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Babak Falsafi, Boris Grot, Edouard Bugnion, Stanko Novaković, Mark Sutherland, Dionisios Pnevmatikatos, Dmitrii Ustiugov, Siddharth Gupta, Javier Picorel and Umakishore Ramachandran. Their work appears in journals such as ACM Computing Surveys, Computer and ACM Transactions on Computer 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.