James S. Plank

7.6k citations
133 papers · 4.8k indexed · h-index 37

Impact in

    • Parallel Computing and Optimization Techniques
    • Advanced Data Storage Technologies
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems
    • Caching and Content Delivery
    • Peer-to-Peer Network Technologies

Papers in

James S. Plank

128 papers receiving 4.5k citations

Peers

James S. Plank
Comparison fields: 5 of 80
  • Hardware and Architecture 1.4k
  • Computer Networks and Communications 4.1k
  • Information Systems 1.1k
  • Artificial Intelligence 878
  • Computational Theory and Mathematics 236
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Citations per field
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Citations per year

Countries citing papers authored by James S. Plank

Since Specialization
Citations

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

Fields of papers citing papers by James S. Plank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Plank. 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 James S. Plank. The network helps show where James S. Plank may publish in the future.

Co-authors

The 25 scholars most cited alongside James S. Plank, 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 James S. Plank Line = papers co-authored together James S. Plank links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20231
4 20222
5 20216
6 201917
7 201812
8 20167
9
Erasure Codes for Storage Systems: A Brief Primer.
201344
10 2011106
11
Mean time to meaningless: MTTDL, Markov models, and storage system reliability
201061
12
A performance evaluation and examination of open-source erasure coding libraries for storage
2009168
13
The RAID-6 liberation codes
2008107
14
Transnet Architecture and Logistical Networking for Distributed Storage.
20042
15 20022
16 200275
17
An Overview of Checkpointing in Uniprocessor and Distributed Systems, Focusing on Implementation and Performance
199754
18
Libckpt: transparent checkpointing under Unix
1995407
19
Jgraph - A Filter for Plotting Graphs in PostScript
19937
20 19906

About James S. Plank

James S. Plank is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 133 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (49 papers), Distributed systems and fault tolerance (48 papers), Advanced Memory and Neural Computing (42 papers), Distributed and Parallel Computing Systems (35 papers), Neural Networks and Reservoir Computing (34 papers), Parallel Computing and Optimization Techniques (28 papers), Ferroelectric and Negative Capacitance Devices (27 papers) and Caching and Content Delivery (22 papers). The work is most often cited by research in Hardware and Architecture (1.4k citations), Computer Networks and Communications (4.1k citations), Information Systems (1.1k citations), Artificial Intelligence (878 citations) and Computational Theory and Mathematics (236 citations). James S. Plank has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Kai Li, Micah Beck, Rich Wolski, Catherine D. Schuman, John Brevik, Michael G. Thomason, Jeffrey F. Naughton, E. N. Mootaz Elnozahy, Wael Elwasif and Garrett S. Rose. Their work appears in journals such as Future Generation Computer Systems, Software Practice and Experience, The International Journal of High Performance Computing Applications, ACM SIGCOMM Computer Communication Review and IEEE Transactions on Parallel and Distributed Systems.

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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