Mark W. Storer

856 citations
20 papers · 580 · h-index 9

Impact in

Papers in

Mark W. Storer

20 papers receiving 542 citations

Peers

Mark W. Storer
Comparison fields: 5 of 32
  • Computer Networks and Communications 399
  • Information Systems 321
  • Hardware and Architecture 64
  • Artificial Intelligence 260
  • Conservation 17
Replace Kevin M. Greenan with:
Kevin M. Greenan United States
Kaladhar Voruganti United States
Ingo Müller Switzerland
Ohad Rodeh United States
Uwe Röhm Australia
Till Westmann United States
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Mark W. Storer relative to Kevin M. Greenan United States Kevin M. Greenan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark W. Storer

Since Specialization
Citations

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

Fields of papers citing papers by Mark W. Storer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark W. Storer. 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 Mark W. Storer. The network helps show where Mark W. Storer may publish in the future.

Co-authors

The 18 scholars most cited alongside Mark W. Storer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark W. Storer Line = papers co-authored together Mark W. Storer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2008184
2
Pergamum: replacing tape with energy efficient, reliable, disk-based archival storage
2008106
3
POTSHARDS: secure long-term storage without encryption
200742
4 200942
5
Maximizing efficiency by trading storage for computation
200940
6 201239
7 201336
8 200624
9
LiFS: An Attribute-Rich File System for Storage Class Memories
200622
10 20068
11 20127
12 20127
13
Mercury: host-side flash caching for the datacenter
20115
14 20075
15
Storage efficiency opportunities and analysis for video repositories
20154
16 20084
17 20102
18 20161
19
Pergamum : energy-efficient archival storage with disk instead of tape
20081
20
POTSHARDS: Secure Long-Term Archival Storage Without Encryption
20061

About Mark W. Storer

Mark W. Storer is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 20 papers that have together received 580 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (17 papers), Caching and Content Delivery (13 papers), Peer-to-Peer Network Technologies (6 papers), Cryptography and Data Security (6 papers), Privacy-Preserving Technologies in Data (3 papers), Cloud Computing and Resource Management (3 papers), Cloud Data Security Solutions (3 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Computer Networks and Communications (399 citations), Information Systems (321 citations), Hardware and Architecture (64 citations), Artificial Intelligence (260 citations) and Conservation (17 citations). Mark W. Storer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ethan L. Miller, Kevin M. Greenan, Darrell D. E. Long, Kaladhar Voruganti, Shankar Pasupathy, Sethuraman Subbiah, Gokul Soundararajan, Remzi H. Arpaci-Dusseau, Carlos Maltzahn and Yiying Zhang. Their work appears in journals such as ACM Transactions on Storage, International Journal of Science and Research (IJSR), eScholarship (California Digital Library) and 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.

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