Jonathan Yaniv
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Hardware and Architecture top 10%
- Co-authors
- Ishai MenacheJoseph NaorNavendu JainBrendan LucierÍñigo GoiriSriram RaoJanardhan KulkarniCarlo Curino
- Topics
- Cloud Computing and Resource Management (9 papers)Distributed and Parallel Computing Systems (5 papers)Stochastic Gradient Optimization Techniques (2 papers)
- Journals
- Theory of Computing SystemsOperating Systems Design and Implementation
- 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
- Artificial Intelligence 55
- Management Science and Operations Research 39
- Hardware and Architecture 34
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-authorship network of co-authors of Jonathan Yaniv
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Yaniv. A scholar is included among the top collaborators of Jonathan Yaniv 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 Jonathan Yaniv. Jonathan Yaniv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 119 | |
| 2 | 49 | |
| 3 | 12 | |
| 4 | Efficient Online Scheduling for Deadline-Sensitive Batch Computing | 1 |
| 5 | Efficient Online Scheduling for Deadline-Sensitive Jobs | 15 |
| 6 | 47 | |
| 7 | 38 | |
| 8 | Near-Optimal Scheduling Mechanisms for Deadline-Sensitive Jobs | 2 |
| 9 | 23 |
About Jonathan Yaniv
Jonathan Yaniv is a scholar working on Information Systems, Management Science and Operations Research and Computer Networks and Communications, 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) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (251 citations), Information Systems (240 citations) and Hardware and Architecture (34 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, Íñigo Goiri, Sriram Rao, Janardhan Kulkarni, Carlo Curino, Sangeetha Abdu Jyothi and Alexey Tumanov. 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.