Randal Burns

9.5k total citations · 1 hit paper
102 papers, 4.8k citations indexed

About

Randal Burns is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Randal Burns has authored 102 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Networks and Communications, 27 papers in Artificial Intelligence and 23 papers in Information Systems. Recurrent topics in Randal Burns's work include Advanced Data Storage Technologies (56 papers), Caching and Content Delivery (19 papers) and Parallel Computing and Optimization Techniques (19 papers). Randal Burns is often cited by papers focused on Advanced Data Storage Technologies (56 papers), Caching and Content Delivery (19 papers) and Parallel Computing and Optimization Techniques (19 papers). Randal Burns collaborates with scholars based in United States, United Kingdom and Netherlands. Randal Burns's co-authors include Reza Curtmola, Giuseppe Ateniese, Zachary Peterson, Lea Kissner, Dawn Song, Alexander S. Szalay, Charles Meneveau, Darrell D. E. Long, Eric Perlman and Gregory L. Eyink and has published in prestigious journals such as Nature, Neuron and Annual Review of Neuroscience.

In The Last Decade

Randal Burns

98 papers receiving 4.4k citations

Hit Papers

Provable data possession at untrusted stores 2007 2026 2013 2019 2007 500 1000 1.5k

Peers

Randal Burns
Comparison fields: 5 of 113
  • Information Systems 2.7k
  • Artificial Intelligence 2.4k
  • Computer Networks and Communications 1.7k
  • Computational Mechanics 663
  • Computer Vision and Pattern Recognition 403
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Citations per field, relative to Randal Burns
Randal Burns · 1×
Citations per year, relative to Randal Burns
Randal Burns · 1×

Countries citing papers authored by Randal Burns

Since Specialization
Citations

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

Fields of papers citing papers by Randal Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Randal Burns

This figure shows the co-authorship network connecting the top 25 collaborators of Randal Burns. A scholar is included among the top collaborators of Randal Burns 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 Randal Burns. Randal Burns 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
# Work Indexed citations
1 1
2 1
3 4
4 1
5
Geometric Dimensionality Reduction for Subsequent Classification
0
6
Linear Optimal Low Rank Projection for High-Dimensional Multi-class Data
0
7 130
8
Random Projection Forests
2
9 10
10 28
11 10
12 15
13
A parallel page cache: IOPS and caching for multicore systems
9
14 2
15 3
16 27
17 290
18 46
19
In-place rsync: file synchronization for mobile and wireless devices
13
20 18

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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