Jonathan Yaniv
Impact in
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Optimization and Search Problems
- Advanced Data Storage Technologies
- Information Systems top 5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- Cloud Computing and Resource Management 9
- Blockchain Technology Applications and Security 1
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- Distributed and Parallel Computing Systems 5
- Optimization and Search Problems 2
- Co-authors
- Ishai Menache (9 shared papers)Joseph Naor (6 shared papers)Navendu Jain (4 shared papers)Brendan Lucier (3 shared papers)Sangeetha Abdu Jyothi (1 shared paper)Carlo Curino (1 shared paper)Shravan Narayanamurthy (1 shared paper)Alexey Tumanov (1 shared paper)
- Journals
- Theory of Computing Systems (1 paper)Operating Systems Design and Implementation (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Jonathan Yaniv
9 papers receiving 296 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 251
- Information Systems 240
- Hardware and Architecture 34
- Management Science and Operations Research 39
- Industrial and Manufacturing Engineering 24
Countries citing papers authored by Jonathan Yaniv
This map shows the geographic impact of Jonathan Yaniv'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 Jonathan Yaniv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Yaniv more than expected).
Fields of papers citing papers by Jonathan Yaniv
This network shows the impact of papers produced by Jonathan Yaniv. 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 Jonathan Yaniv. The network helps show where Jonathan Yaniv may publish in the future.
Co-authors
The 13 scholars most cited alongside Jonathan Yaniv, 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 | 2016 | 119 | |
| 2 | 2015 | 49 | |
| 3 | 2013 | 47 | |
| 4 | 2013 | 38 | |
| 5 | 2012 | 23 | |
| 6 | Efficient Online Scheduling for Deadline-Sensitive Jobs | 2013 | 15 |
| 7 | 2014 | 12 | |
| 8 | Near-Optimal Scheduling Mechanisms for Deadline-Sensitive Jobs | 2012 | 2 |
| 9 | Efficient Online Scheduling for Deadline-Sensitive Batch Computing | 2013 | 1 |
About Jonathan Yaniv
Jonathan Yaniv is a scholar working on Information Systems, Computer Networks and Communications, Management Science and Operations Research, Artificial Intelligence and Hardware and Architecture, having authored 9 papers that have together received 306 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (9 papers), Distributed and Parallel Computing Systems (5 papers), Optimization and Search Problems (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Auction Theory and Applications (2 papers), Risk and Portfolio Optimization (2 papers), Blockchain Technology Applications and Security (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (251 citations), Information Systems (240 citations), Hardware and Architecture (34 citations), Management Science and Operations Research (39 citations) and Industrial and Manufacturing Engineering (24 citations). Jonathan Yaniv has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Ishai Menache, Joseph Naor, Navendu Jain, Brendan Lucier, Sangeetha Abdu Jyothi, Carlo Curino, Shravan Narayanamurthy, Alexey Tumanov, Íñigo Goiri and Subru Krishnan. Their work appears in journals such as Theory of Computing Systems and Operating Systems Design and Implementation.
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.