Daniel Stodolsky

1.1k total citations · 1 hit paper
9 papers, 780 citations indexed

About

Daniel Stodolsky is a scholar working on Computer Networks and Communications, Hardware and Architecture and Automotive Engineering. According to data from OpenAlex, Daniel Stodolsky has authored 9 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 2 papers in Hardware and Architecture and 1 paper in Automotive Engineering. Recurrent topics in Daniel Stodolsky's work include Advanced Data Storage Technologies (8 papers), Distributed systems and fault tolerance (7 papers) and Caching and Content Delivery (6 papers). Daniel Stodolsky is often cited by papers focused on Advanced Data Storage Technologies (8 papers), Distributed systems and fault tolerance (7 papers) and Caching and Content Delivery (6 papers). Daniel Stodolsky collaborates with scholars based in United States. Daniel Stodolsky's co-authors include Garth A. Gibson, Jim Zelenka, Russel H. Patterson, Mark Holland, Fay W. Chang, Joseph F. Pekny and Donald L. Miller and has published in prestigious journals such as ACM Transactions on Computer Systems, Operations Research Letters and ACM SIGOPS Operating Systems Review.

In The Last Decade

Daniel Stodolsky

9 papers receiving 695 citations

Hit Papers

Informed prefetching and caching 1995 2026 2005 2015 1995 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Informed prefetching and caching
    1995 506 citations Russel H. Patterson, Garth A. Gibson et al. profile →

Peers

Daniel Stodolsky
Randolph Y. Wang United States
Samuel J. Leffler Spain
Scott F. Kaplan United States
Thanumalayan Sankaranarayana Pillai United States
Seetharami Seelam United States
Vincent Cavé United States
Robert Tappan Morris United States
Theodore H. Romer United States
Susan Spence United States
Rob Fowler United States
Randolph Y. Wang United States
Daniel Stodolsky
Citations per year, relative to Daniel Stodolsky Daniel Stodolsky (= 1×) peers Randolph Y. Wang

Countries citing papers authored by Daniel Stodolsky

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Stodolsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Stodolsky. 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 Daniel Stodolsky. The network helps show where Daniel Stodolsky may publish in the future.

Co-authorship network of co-authors of Daniel Stodolsky

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

All Works

9 of 9 papers shown
1.
Stodolsky, Daniel, Garth A. Gibson, & Mark Holland. (2005). Parity Logging Overcoming The Small Write Problem In Redundant Disk Arrays. 64–75. 14 indexed citations
2.
Gibson, Garth A., Daniel Stodolsky, Fay W. Chang, et al.. (2002). The Scotch parallel storage systems. 403–410. 11 indexed citations
3.
Patterson, Russel H., et al.. (1995). Informed prefetching and caching. ACM SIGOPS Operating Systems Review. 29(5). 79–95. 41 indexed citations
4.
Patterson, Russel H., et al.. (1995). Informed prefetching and caching. 79–95. 506 indexed citations breakdown →
5.
Stodolsky, Daniel, et al.. (1994). Parity logging disk arrays. ACM Transactions on Computer Systems. 12(3). 206–235. 43 indexed citations
6.
Stodolsky, Daniel, Mark Holland, & Garth A. Gibson. (1993). A Redundant Disk Array Architecture for Efficient Small Writes. Defense Technical Information Center (DTIC). 7 indexed citations
7.
Stodolsky, Daniel, Garth A. Gibson, & Mark Holland. (1993). Parity logging overcoming the small write problem in redundant disk arrays. 64–75. 119 indexed citations
8.
Stodolsky, Daniel, Garth A. Gibson, & Mark Holland. (1993). Parity logging overcoming the small write problem in redundant disk arrays. ACM SIGARCH Computer Architecture News. 21(2). 64–75. 36 indexed citations
9.
Pekny, Joseph F., Donald L. Miller, & Daniel Stodolsky. (1991). A note on exploiting the Hamiltonian cycle problem substructure of the Asymmetric Traveling Salesman Problem. Operations Research Letters. 10(3). 173–176. 3 indexed 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.

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