Gabriel Scalosub
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computational Theory and Mathematics
- Artificial Intelligence
- Co-authors
- Kirill KoganMichael SegalReuven Bar-YehudaRong ZhengBoaz Patt-ShamirIsaac KeslassyChen AvinHuy Nguyen
- Topics
- Optimization and Search Problems (15 papers)Caching and Content Delivery (11 papers)Software-Defined Networks and 5G (11 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringInformation Systems
- Journals
- IEEE/ACM Transactions on NetworkingIEEE Transactions on Parallel and Distributed SystemsComputer Networks
- 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
- Computational Theory and Mathematics 32
- Artificial Intelligence 21
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 of co-authors of Gabriel Scalosub
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Scalosub. A scholar is included among the top collaborators of Gabriel Scalosub 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 Gabriel Scalosub. Gabriel Scalosub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 14 | |
| 14 | Large Profits or Fast Gains: A Dilemma in Maximizing Throughput with Applications to Network Processors | 6 |
| 15 | 36 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 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) and Software-Defined Networks and 5G (11 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.