Moshe Gabel
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- IoT and Edge/Fog Computing 6
- Network Security and Intrusion Detection 4
- Software System Performance and Reliability 4
- Caching and Content Delivery 3
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- Data Stream Mining Techniques 4
- Anomaly Detection Techniques and Applications 4
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- Non-Invasive Vital Sign Monitoring 5
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- Cloud Computing and Resource Management 5
- Co-authors
- Eyal de LaraGala YadgarAssaf SchusterBianca SchroederDaniel KerenRay E. EbertsMoshe M. BarashFrank Rudzicz
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Proceedings of the VLDB Endowment (1 paper)ACM Transactions on Storage (1 paper)
- Partner nations
- CanadaIsraelUnited States
In The Last Decade
Moshe Gabel
28 papers receiving 348 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 153
- Hardware and Architecture 26
- Signal Processing 32
- Computer Vision and Pattern Recognition 57
- Artificial Intelligence 76
Countries citing papers authored by Moshe Gabel
This map shows the geographic impact of Moshe Gabel'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 Moshe Gabel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Gabel more than expected).
Fields of papers citing papers by Moshe Gabel
This network shows the impact of papers produced by Moshe Gabel. 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 Moshe Gabel. The network helps show where Moshe Gabel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Moshe Gabel, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 50 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 16 | |
| 13 | 2017 | 5 | |
| 14 | 2017 | 11 | |
| 15 | 2016 | 24 | |
| 16 | Avoiding the streetlight effect: I/O workload analysis with SSDs in mind | 2016 | 10 |
| 17 | Latent Fault Detection With Unbalanced Workloads | 2015 | 5 |
| 18 | 2015 | 14 | |
| 19 | Communication-efficient Outlier Detection for Scale-out Systems. | 2013 | 3 |
| 20 | 1991 | 39 |
About Moshe Gabel
Moshe Gabel is a scholar working on Computer Networks and Communications, Hardware and Architecture, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 354 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Cloud Computing and Resource Management (5 papers), Data Stream Mining Techniques (4 papers), Network Security and Intrusion Detection (4 papers), Software System Performance and Reliability (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Networks and Communications (153 citations), Hardware and Architecture (26 citations), Signal Processing (32 citations), Computer Vision and Pattern Recognition (57 citations) and Artificial Intelligence (76 citations). Moshe Gabel has collaborated with scholars based in Canada, Israel and United States. Frequent co-authors include Eyal de Lara, Gala Yadgar, Assaf Schuster, Bianca Schroeder, Daniel Keren, Ray E. Eberts, Moshe M. Barash, Frank Rudzicz, Andrea S. Gershon and Ilan Shimshoni. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Proceedings of the VLDB Endowment, ACM Transactions on Storage, IEEE Transactions on Engineering Management and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.