GPFS: A Shared-Disk File System for Large Computing Clusters
Impact in
Classified as
- Authors
- Frank SchmuckRoger Haskin
- Journal
- File and Storage Technologies
In The Last Decade
doi.org/w58137589 →Countries where authors are citing GPFS: A Shared-Disk File System for Large Computing Clusters
This map shows the geographic impact of GPFS: A Shared-Disk File System for Large Computing Clusters. 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 GPFS: A Shared-Disk File System for Large Computing Clusters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GPFS: A Shared-Disk File System for Large Computing Clusters more than expected).
Fields of papers citing GPFS: A Shared-Disk File System for Large Computing Clusters
This network shows the impact of GPFS: A Shared-Disk File System for Large Computing Clusters. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the GPFS: A Shared-Disk File System for Large Computing Clusters.
About GPFS: A Shared-Disk File System for Large Computing Clusters
This paper, published in 2002, received 861 indexed citations . Written by Frank Schmuck and Roger Haskin covering the research area of Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (818 citations), Hardware and Architecture (290 citations), Information Systems (258 citations), Information Systems and Management (83 citations) and Artificial Intelligence (50 citations). Published in File and Storage Technologies.
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/w58137589.