Eyal de Lara
- Computer Networks and Communications top 0.5%
- Information Systems top 0.5%
- Electrical and Electronic Engineering top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Anthony LaMarcaAlex VarshavskyAshvin GoelMahadev SatyanarayananH. Andrés Lagar-CavillaJeffrey HightowerAdin ScannellWilly Zwaenepoel
- Topics
- Cloud Computing and Resource Management (38 papers)IoT and Edge/Fog Computing (25 papers)Caching and Content Delivery (23 papers)
- Journals
- ACM Computing SurveysIEEE Transactions on Parallel and Distributed SystemsIBM Journal of Research and Development
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Eyal de Lara
132 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 113
- Computer Networks and Communications 1.8k
- Information Systems 1.1k
- Electrical and Electronic Engineering 725
- Signal Processing 449
- Computer Vision and Pattern Recognition 442
Countries citing papers authored by Eyal de Lara
This map shows the geographic impact of Eyal de Lara'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 Eyal de Lara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyal de Lara more than expected).
Fields of papers citing papers by Eyal de Lara
This network shows the impact of papers produced by Eyal de Lara. 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 Eyal de Lara. The network helps show where Eyal de Lara may publish in the future.
Co-authorship network of co-authors of Eyal de Lara
This figure shows the co-authorship network connecting the top 25 collaborators of Eyal de Lara. A scholar is included among the top collaborators of Eyal de Lara 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 Eyal de Lara. Eyal de Lara 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 | 26 | |
| 3 | 4 | |
| 4 | 54 | |
| 5 | A Survey on Edge Benchmarking | 8 |
| 6 | 42 | |
| 7 | Heterogeneous GPU reallocation | 1 |
| 8 | Accelerating complex data transfer for cluster computing | 6 |
| 9 | The case for system testing with swift hierarchical VM fork | 3 |
| 10 | 55 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | Proceedings of the 6th international conference on Mobile systems, applications, and services | 11 |
| 15 | 25 | |
| 16 | On the Robustness of Simple Indoor MANET Simulation Models. | 5 |
| 17 | 4 | |
| 18 | 3 | |
| 19 | Puppeteer: Component-based adaptation for mobile computing | 104 |
| 20 | Opportunities for bandwidth adaptation in microsoft office documents | 12 |
About Eyal de Lara
Eyal de Lara is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 141 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (38 papers), IoT and Edge/Fog Computing (25 papers) and Caching and Content Delivery (23 papers). The work is most often cited by research in Computer Networks and Communications (1.8k citations), Information Systems (1.1k citations) and Signal Processing (449 citations). Eyal de Lara has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Anthony LaMarca, Alex Varshavsky, Ashvin Goel, Mahadev Satyanarayanan, H. Andrés Lagar-Cavilla, Jeffrey Hightower, Adin Scannell, Willy Zwaenepoel, Dan S. Wallach and Jing Su. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Parallel and Distributed Systems and IBM Journal of Research and Development.
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.