Aaron Harwood

1.8k total citations
109 papers, 865 citations indexed

About

Aaron Harwood is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Aaron Harwood has authored 109 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Networks and Communications, 26 papers in Information Systems and 25 papers in Artificial Intelligence. Recurrent topics in Aaron Harwood's work include Peer-to-Peer Network Technologies (36 papers), Caching and Content Delivery (30 papers) and Cloud Computing and Resource Management (18 papers). Aaron Harwood is often cited by papers focused on Peer-to-Peer Network Technologies (36 papers), Caching and Content Delivery (30 papers) and Cloud Computing and Resource Management (18 papers). Aaron Harwood collaborates with scholars based in Australia, United States and Singapore. Aaron Harwood's co-authors include Shanika Karunasekera, Egemen Tanin, Rajkumar Buyya, Rajiv Ranjan, Hanan Samet, Kwan Hui Lim, Maria A. Rodriguez, Peter J. Stuckey, Yasmeen George and Lei Ni and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and ACM Computing Surveys.

In The Last Decade

Aaron Harwood

100 papers receiving 801 citations

Peers

Aaron Harwood
Comparison fields: 5 of 68
  • Computer Networks and Communications 609
  • Information Systems 252
  • Artificial Intelligence 174
  • Signal Processing 138
  • Statistical and Nonlinear Physics 63
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Kai Zhao China
Mehmet Hadi Güneş United States
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Kai Zhao China View profile →
Citations per field, relative to Aaron Harwood
Aaron Harwood · 1×
Citations per year, relative to Aaron Harwood
Aaron Harwood · 1×

Countries citing papers authored by Aaron Harwood

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Harwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Harwood

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Harwood. A scholar is included among the top collaborators of Aaron Harwood 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 Aaron Harwood. Aaron Harwood 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 14
2 0
3 5
4 3
5 1
6 2
7 21
8 4
9
Effect of Similarity Distribution on the Convergence of Decentralized Similarity Overlays
2
10 1
11 16
12
Decentralisation of Score Finder: A Framework for Credibility Management on User-Generated Contents
0
13 1
14
Sla-based cooperative superscheduling algorithms for computational grids
3
15 5
16 1
17 91
18
Enabling Massively Multi-Player Online Gaming Applications on a P2P Architecture
21
19 3
20
Hashing Spatial Content over Peer-to-Peer Networks
30

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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