Elisha Rosensweig
- Computer Networks and Communications top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Information Systems
- Artificial Intelligence
- Co-authors
- Jim KuroseDon TowsleyDaniel Sadoc MenaschéAnat Bremler-BarrDaniel GyllstromYung‐Chih ChenImen Grida Ben YahiaLei Xu
- Topics
- Caching and Content Delivery (8 papers)Peer-to-Peer Network Technologies (6 papers)Opportunistic and Delay-Tolerant Networks (5 papers)
- Journals
- ACM SIGCOMM Computer Communication ReviewIEICE Transactions on CommunicationsFraunhofer-Publica (Fraunhofer-Gesellschaft)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Elisha Rosensweig
12 papers receiving 419 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 417
- Materials Chemistry 52
- Electrical and Electronic Engineering 47
- Information Systems 24
- Artificial Intelligence 17
Countries citing papers authored by Elisha Rosensweig
This map shows the geographic impact of Elisha Rosensweig'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 Elisha Rosensweig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisha Rosensweig more than expected).
Fields of papers citing papers by Elisha Rosensweig
This network shows the impact of papers produced by Elisha Rosensweig. 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 Elisha Rosensweig. The network helps show where Elisha Rosensweig may publish in the future.
Co-authorship network of co-authors of Elisha Rosensweig
This figure shows the co-authorship network connecting the top 25 collaborators of Elisha Rosensweig. A scholar is included among the top collaborators of Elisha Rosensweig 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 Elisha Rosensweig. Elisha Rosensweig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure | 5 |
| 4 | 27 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 64 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 137 | |
| 13 | 12 | |
| 14 | 137 |
About Elisha Rosensweig
Elisha Rosensweig is a scholar working on Computer Networks and Communications, Signal Processing and Media Technology, having authored 14 papers that have together received 431 indexed citations. Recurring topics across this work include Caching and Content Delivery (8 papers), Peer-to-Peer Network Technologies (6 papers) and Opportunistic and Delay-Tolerant Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (417 citations), Materials Chemistry (52 citations) and Information Systems (24 citations). Elisha Rosensweig has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Jim Kurose, Don Towsley, Daniel Sadoc Menasché, Anat Bremler-Barr, Daniel Gyllstrom, Yung‐Chih Chen, Imen Grida Ben Yahia, Lei Xu, Ángel Martín and Robert Mullins. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, IEICE Transactions on Communications and Fraunhofer-Publica (Fraunhofer-Gesellschaft).
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.