Andrey Ermolinskiy
- Computer Networks and Communications top 0.5%
- Materials Chemistry
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Scott ShenkerByung-Gon ChunIon StoicaJi‐Hyun KimTeemu KoponenSylvia RatnasamyRenu TewariSachin Katti
- Topics
- Caching and Content Delivery (6 papers)Peer-to-Peer Network Technologies (5 papers)Opportunistic and Delay-Tolerant Networks (5 papers)
- Journals
- ACM SIGCOMM Computer Communication RevieweCommons (Cornell University)UC Berkeley
- Partner nations
- United States
In The Last Decade
Andrey Ermolinskiy
9 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 1.7k
- Materials Chemistry 139
- Information Systems 109
- Electrical and Electronic Engineering 97
- Artificial Intelligence 89
Countries citing papers authored by Andrey Ermolinskiy
This map shows the geographic impact of Andrey Ermolinskiy'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 Andrey Ermolinskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrey Ermolinskiy more than expected).
Fields of papers citing papers by Andrey Ermolinskiy
This network shows the impact of papers produced by Andrey Ermolinskiy. 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 Andrey Ermolinskiy. The network helps show where Andrey Ermolinskiy may publish in the future.
Co-authorship network of co-authors of Andrey Ermolinskiy
This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Ermolinskiy. A scholar is included among the top collaborators of Andrey Ermolinskiy 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 Andrey Ermolinskiy. Andrey Ermolinskiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Design and implementation of a hypervisor-based platform for dynamic information flow tracking in a distributed environment | 0 |
| 2 | Towards Practical Taint Tracking | 19 |
| 3 | Minuet: rethinking concurrency control in storage area networks | 2 |
| 4 | 10 | |
| 5 | Reducing Transient Disconnectivity using Anomaly- Cognizant Forwarding | 6 |
| 6 | A data-oriented (and beyond) network architecturebreakdown → | 537 |
| 7 | A data-oriented (and beyond) network architecturebreakdown → | 1033 |
| 8 | 55 | |
| 9 | An Experiment in Deploying Next Generation Network Protocols | 1 |
| 10 | 96 |
About Andrey Ermolinskiy
Andrey Ermolinskiy is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Caching and Content Delivery (6 papers), Peer-to-Peer Network Technologies (5 papers) and Opportunistic and Delay-Tolerant Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Hardware and Architecture (40 citations) and Information Systems (109 citations). Andrey Ermolinskiy has collaborated with scholars based in United States. Frequent co-authors include Scott Shenker, Byung-Gon Chun, Ion Stoica, Ji‐Hyun Kim, Teemu Koponen, Sylvia Ratnasamy, Renu Tewari, Sachin Katti, Daekyeong Moon and Paul Francis. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, eCommons (Cornell University) and UC Berkeley.
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.