John L. Larson

2.1k citations
14 papers · 1.3k indexed · 1 hit paper · h-index 7

John L. Larson

14 papers receiving 1.1k citations

Hit Papers

Epidemic algorithms for replicated database maintenance1.0k19872026200020132505007501000

Peers

John L. Larson
Comparison fields: 5 of 68
  • Computer Networks and Communications 1.1k
  • Hardware and Architecture 100
  • Statistical and Nonlinear Physics 169
  • Information Systems 193
  • Artificial Intelligence 130
Replace Russ Cox with:
Russ Cox United States
Carlos Baquero Portugal
Tian Bu United States
Duan‐Shin Lee Taiwan
S. Bhattacharjee United States
Venugopalan Ramasubramanian United States
Saverio Niccolini Italy
A. Ferreira France
Shiduan Cheng China
Daniel Massey United States
John L. Larson relative to Russ Cox United States Russ Cox's profile →
Citations per field
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Russ Cox · 1×
Citations per year

Countries citing papers authored by John L. Larson

Since Specialization
Citations

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

Fields of papers citing papers by John L. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Larson. 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 John L. Larson. The network helps show where John L. Larson may publish in the future.

Co-authorship network

The 15 scholars most cited alongside John L. Larson, 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 John L. Larson Line = papers co-authored together John L. Larson links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 19951
2
Scientific benchmark characterizations
199310
3 19936
4
Fine-Grained Measurements of Loope Performance on the Cray Y-MP
19912
5 19912
6 199114
7 19915
8 1988171
9 198719
10
Epidemic algorithms for replicated database maintenancebreakdown →
19871005
11 19834
12 19792
13 19784
14 197813

About John L. Larson

John L. Larson is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Numerical Analysis and Statistics, Probability and Uncertainty, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Numerical Methods and Algorithms (3 papers), Software System Performance and Reliability (3 papers), Cloud Computing and Resource Management (2 papers), Distributed systems and fault tolerance (2 papers), Distributed and Parallel Computing Systems (2 papers), Mathematical Approximation and Integration (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Hardware and Architecture (100 citations), Statistical and Nonlinear Physics (169 citations), Information Systems (193 citations) and Artificial Intelligence (130 citations). John L. Larson has collaborated with scholars based in United States and Israel. Frequent co-authors include Alan Demers, Carl Hauser, Howard E. Sturgis, Doug Terry, Scott Shenker, George Cybenko, Michael W. Berry, Ahmed Sameh, Paul O. Frederickson and Robert E. Hiromoto. Their work appears in journals such as ACM Transactions on Mathematical Software, Parallel Computing, Proceedings of the IEEE, The Journal of Supercomputing and ACM SIGOPS Operating Systems Review.

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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