Marshall C. Pease

10.2k citations
26 papers · 5.3k indexed · 2 hit papers · h-index 11
Topics
Matrix Theory and Algorithms (4 papers)Plasma Diagnostics and Applications (2 papers)Cryptography and Data Security (2 papers)
Partner nations
United States

In The Last Decade

Marshall C. Pease

25 papers receiving 4.7k citations

Hit Papers

The Byzantine Generals Problem19802026199520101982198010002.0k3.0k

Peers

Marshall C. Pease
Comparison fields: 5 of 121
  • Computer Networks and Communications 3.9k
  • Information Systems 1.4k
  • Artificial Intelligence 1.4k
  • Computational Theory and Mathematics 677
  • Hardware and Architecture 669
Replace Michael S. Paterson with:
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Marshall C. Pease relative to Michael S. Paterson United Kingdom Michael S. Paterson's profile →
Citations per field
00.5×1.5×2.5×
Michael S. Paterson · 1×
Citations per year

Countries citing papers authored by Marshall C. Pease

Since Specialization
Citations

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

Fields of papers citing papers by Marshall C. Pease

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marshall C. Pease. 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 Marshall C. Pease. The network helps show where Marshall C. Pease may publish in the future.

Co-authorship network of co-authors of Marshall C. Pease

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
GEOGRAPHIC INFORMATION SYSTEMS USING CODES LINKED DATA (CRASH OUTCOME DATA EVALUATION SYSTEM)
1
3 12
4
The Byzantine Generals Problembreakdown →
3348
5
Reaching Agreement in the Presence of Faultsbreakdown →
1236
6 3
7 11
8 36
9
Techniques for the realization of ultrareliable spaceborne computers
20
10 262
11 30
12 1
13 2
14
Methods of Matrix Algebra
249
15 2
16 3
17 5
18 5
19 10
20 1

About Marshall C. Pease

Marshall C. Pease is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Classics, having authored 26 papers that have together received 5.3k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (4 papers), Plasma Diagnostics and Applications (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Computer Networks and Communications (3.9k citations), Hardware and Architecture (669 citations) and Information Systems (1.4k citations). Marshall C. Pease has collaborated with scholars based in United States. Frequent co-authors include Leslie Lamport, Robert E. Shostak, T. Kailath, Jack Goldberg, Adam Waksman, Danny Dolev, A. B. Farnell, D. B. Harris, Karl Kim and Timothy J. Kerns. Their work appears in journals such as Journal of Applied Physics, Physics Today and Proceedings of the IEEE.

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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