Gabriel Scalosub
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- Optimization and Search Problems 15
- Caching and Content Delivery 11
- Software-Defined Networks and 5G 11
- Network Traffic and Congestion Control 6
- IoT and Edge/Fog Computing 5
- Distributed systems and fault tolerance 5
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- Advanced Wireless Network Optimization 9
- Information Systems top 10%
- Cloud Computing and Resource Management 9
- Co-authors
- Kirill KoganMichael SegalReuven Bar-YehudaRong ZhengBoaz Patt-ShamirIsaac KeslassyChen AvinHuy Nguyen
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringInformation Systems
- Journals
- IEEE/ACM Transactions on Networking (3 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)Computer Networks (1 paper)
- Partner nations
- IsraelCanadaUnited States
In The Last Decade
Gabriel Scalosub
33 papers receiving 314 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 290
- Electrical and Electronic Engineering 131
- Information Systems 49
- Management Information Systems 19
- Computational Theory and Mathematics 32
Countries citing papers authored by Gabriel Scalosub
This map shows the geographic impact of Gabriel Scalosub'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 Gabriel Scalosub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Scalosub more than expected).
Fields of papers citing papers by Gabriel Scalosub
This network shows the impact of papers produced by Gabriel Scalosub. 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 Gabriel Scalosub. The network helps show where Gabriel Scalosub may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriel Scalosub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 15 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 2 | |
| 8 | 2019 | 7 | |
| 9 | 2016 | 4 | |
| 10 | 2014 | 4 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 10 | |
| 13 | 2013 | 14 | |
| 14 | Large Profits or Fast Gains: A Dilemma in Maximizing Throughput with Applications to Network Processors | 2012 | 6 |
| 15 | 2012 | 36 | |
| 16 | 2011 | 9 | |
| 17 | 2010 | 2 | |
| 18 | 2009 | 1 | |
| 19 | 2008 | 1 | |
| 20 | 2007 | 5 |
About Gabriel Scalosub
Gabriel Scalosub is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 36 papers that have together received 317 indexed citations. Recurring topics across this work include Optimization and Search Problems (15 papers), Caching and Content Delivery (11 papers), Software-Defined Networks and 5G (11 papers), Cloud Computing and Resource Management (9 papers), Advanced Wireless Network Optimization (9 papers), Network Traffic and Congestion Control (6 papers), IoT and Edge/Fog Computing (5 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Computer Networks and Communications (290 citations), Electrical and Electronic Engineering (131 citations) and Information Systems (49 citations). Gabriel Scalosub has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Kirill Kogan, Michael Segal, Reuven Bar-Yehuda, Rong Zheng, Boaz Patt-Shamir, Isaac Keslassy, Chen Avin, Huy Nguyen, Danny Raz and D. Raz. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Parallel and Distributed Systems and Computer Networks.
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.