Niv Dayan
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Hardware and Architecture top 5%
- Co-authors
- Stratos IdreosManos AthanassoulisKostas ZoumpatianosThemis PalpanasHaridimos KondylakisPhilippe BonnetSubarna ChatterjeeSiqiang Luo
- Topics
- Advanced Data Storage Technologies (14 papers)Caching and Content Delivery (11 papers)Advanced Database Systems and Queries (7 papers)
- Journals
- IEEE Transactions on ComputersIEEE/ACM Transactions on NetworkingProceedings of the VLDB Endowment
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Niv Dayan
20 papers receiving 653 citations
Peers
Comparison fields: 5 of 28
- Computer Networks and Communications 608
- Information Systems 275
- Artificial Intelligence 185
- Signal Processing 162
- Hardware and Architecture 138
Countries citing papers authored by Niv Dayan
This map shows the geographic impact of Niv Dayan'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 Niv Dayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niv Dayan more than expected).
Fields of papers citing papers by Niv Dayan
This network shows the impact of papers produced by Niv Dayan. 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 Niv Dayan. The network helps show where Niv Dayan may publish in the future.
Co-authorship network of co-authors of Niv Dayan
This figure shows the co-authorship network connecting the top 25 collaborators of Niv Dayan. A scholar is included among the top collaborators of Niv Dayan 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 Niv Dayan. Niv Dayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 19 | |
| 6 | 5 | |
| 7 | 51 | |
| 8 | Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn. | 31 |
| 9 | Learning Data Structure Alchemy | 11 |
| 10 | 53 | |
| 11 | 24 | |
| 12 | The Periodic Table of Data Structures | 24 |
| 13 | 31 | |
| 14 | 108 | |
| 15 | 48 | |
| 16 | 13 | |
| 17 | 160 | |
| 18 | 30 | |
| 19 | 18 | |
| 20 | 19 |
About Niv Dayan
Niv Dayan is a scholar working on Computer Networks and Communications, Signal Processing and Hardware and Architecture, having authored 24 papers that have together received 725 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (14 papers), Caching and Content Delivery (11 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Computer Networks and Communications (608 citations), Hardware and Architecture (138 citations) and Signal Processing (162 citations). Niv Dayan has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Stratos Idreos, Manos Athanassoulis, Kostas Zoumpatianos, Themis Palpanas, Haridimos Kondylakis, Philippe Bonnet, Subarna Chatterjee, Siqiang Luo, Luc Bouganim and Matias Bjørling. Their work appears in journals such as IEEE Transactions on Computers, IEEE/ACM Transactions on Networking and Proceedings of the VLDB Endowment.
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.