Yariv Aridor
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Management Information Systems
- Co-authors
- Danny B. LangeMichael FactorEdi ShmueliTamar EilamAssaf SchusterJosé E. MoreiraDavid CarmelRonny Lempel
- Topics
- Parallel Computing and Optimization Techniques (7 papers)Cloud Computing and Resource Management (5 papers)Distributed systems and fault tolerance (5 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsIBM Journal of Research and DevelopmentACM Transactions on Information Systems
- Partner nations
- IsraelUnited StatesJapan
In The Last Decade
Yariv Aridor
14 papers receiving 316 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 290
- Information Systems 173
- Artificial Intelligence 138
- Hardware and Architecture 100
- Management Information Systems 26
Countries citing papers authored by Yariv Aridor
This map shows the geographic impact of Yariv Aridor'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 Yariv Aridor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yariv Aridor more than expected).
Fields of papers citing papers by Yariv Aridor
This network shows the impact of papers produced by Yariv Aridor. 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 Yariv Aridor. The network helps show where Yariv Aridor may publish in the future.
Co-authorship network of co-authors of Yariv Aridor
This figure shows the co-authorship network connecting the top 25 collaborators of Yariv Aridor. A scholar is included among the top collaborators of Yariv Aridor 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 Yariv Aridor. Yariv Aridor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 28 | |
| 6 | 5 | |
| 7 | 73 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | 10 | |
| 14 | 18 | |
| 15 | 179 |
About Yariv Aridor
Yariv Aridor is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Science Applications, having authored 15 papers that have together received 359 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Cloud Computing and Resource Management (5 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Hardware and Architecture (100 citations), Computer Networks and Communications (290 citations) and Information Systems (173 citations). Yariv Aridor has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Danny B. Lange, Michael Factor, Edi Shmueli, Tamar Eilam, Assaf Schuster, José E. Moreira, David Carmel, Ronny Lempel, Yoelle Maarek and Aya Soffer. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IBM Journal of Research and Development and ACM Transactions on Information Systems.
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.