NOVA: A Log-Structured File System for Hybrid Volatile/Non-Volatile Main Memories.
Impact in
Classified as
- Authors
- Jian XuSteven Swanson
In The Last Decade
doi.org/w48637107 →Countries where authors are citing NOVA: A Log-Structured File System for Hybrid Volatile/Non-Volatile Main Memories.
This map shows the geographic impact of NOVA: A Log-Structured File System for Hybrid Volatile/Non-Volatile Main Memories.. 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 NOVA: A Log-Structured File System for Hybrid Volatile/Non-Volatile Main Memories. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NOVA: A Log-Structured File System for Hybrid Volatile/Non-Volatile Main Memories. more than expected).
Fields of papers citing NOVA: A Log-Structured File System for Hybrid Volatile/Non-Volatile Main Memories.
This network shows the impact of NOVA: A Log-Structured File System for Hybrid Volatile/Non-Volatile Main Memories.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the NOVA: A Log-Structured File System for Hybrid Volatile/Non-Volatile Main Memories..
About NOVA: A Log-Structured File System for Hybrid Volatile/Non-Volatile Main Memories.
This paper, published in 2016, received 264 indexed citations . Written by Jian Xu and Steven Swanson covering the research area of Information Systems, Hardware and Architecture and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (254 citations), Hardware and Architecture (218 citations), Information Systems (56 citations), Electrical and Electronic Engineering (47 citations) and Artificial Intelligence (10 citations).
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.
This paper is also available at doi.org/w48637107.