Sage A. Weil

2.4k total citations · 1 hit paper
13 papers, 1.7k citations indexed

About

Sage A. Weil is a scholar working on Computer Networks and Communications, Information Systems and Infectious Diseases. According to data from OpenAlex, Sage A. Weil has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 4 papers in Information Systems and 0 papers in Infectious Diseases. Recurrent topics in Sage A. Weil's work include Advanced Data Storage Technologies (13 papers), Distributed and Parallel Computing Systems (8 papers) and Distributed systems and fault tolerance (6 papers). Sage A. Weil is often cited by papers focused on Advanced Data Storage Technologies (13 papers), Distributed and Parallel Computing Systems (8 papers) and Distributed systems and fault tolerance (6 papers). Sage A. Weil collaborates with scholars based in United States, Australia and South Korea. Sage A. Weil's co-authors include Scott Brandt, Carlos Maltzahn, Ethan L. Miller, Darrell D. E. Long, Andrew W. Leung, George Amvrosiadis, Gregory R. Ganger, Mark Nelson, Alex Nelson and Mark Nelson and has published in prestigious journals such as Science China Information Sciences, ACM Transactions on Storage and Operating Systems Design and Implementation.

In The Last Decade

Sage A. Weil

13 papers receiving 1.6k citations

Hit Papers

Ceph: a scalable, high-performance distributed file system 2006 2026 2012 2019 2006 250 500 750 1000

Peers

Sage A. Weil
Comparison fields: 5 of 45
  • Computer Networks and Communications 1.6k
  • Information Systems 828
  • Hardware and Architecture 223
  • Artificial Intelligence 125
  • Information Systems and Management 83
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Citations per field, relative to Sage A. Weil
Sage A. Weil · 1×
Citations per year, relative to Sage A. Weil
Sage A. Weil · 1×

Countries citing papers authored by Sage A. Weil

Since Specialization
Citations

This map shows the geographic impact of Sage A. Weil'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 Sage A. Weil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sage A. Weil more than expected).

Fields of papers citing papers by Sage A. Weil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sage A. Weil. 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 Sage A. Weil. The network helps show where Sage A. Weil may publish in the future.

Co-authorship network of co-authors of Sage A. Weil

This figure shows the co-authorship network connecting the top 25 collaborators of Sage A. Weil. A scholar is included among the top collaborators of Sage A. Weil 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 Sage A. Weil. Sage A. Weil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1
File Systems Unfit as Distributed Storage Back Ends: Lessons from 10 Years of Ceph Evolution.
3
2 7
3 58
4 17
5 6
6 22
7 21
8
Ceph as a scalable alternative to the hadoop distributed file system
37
9 116
10
Ceph: reliable, scalable, and high-performance distributed storage
39
11
Ceph: a scalable, high-performance distributed file system breakdown →
1013
12 148
13 198

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.

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