Aaron McCoy

9 papers receiving 233 citations

Hit Papers

The International Mouse Phenotyping Consortium: comprehen...2022202620232024202250100150

Peers

Aaron McCoy
Comparison fields: 5 of 81
  • Molecular Biology 107
  • Genetics 55
  • Computer Networks and Communications 53
  • Physiology 16
  • Cell Biology 14
Replace David S. Owen with:
David S. Owen United Kingdom
Quan Pham United States
Michael P. Trimarchi United States
Yasuomi D. Sato Japan
Richard Rivera United States
Min-Yu Huang United States
Ruogu Li China
Seok Jong Yu South Korea
André Frotta Müller Germany
Rasiah Loganantharaj United States
Aaron McCoy relative to David S. Owen United Kingdom David S. Owen's profile →
Citations per field
00.5×3.5×
David S. Owen · 1×
Citations per year

Countries citing papers authored by Aaron McCoy

Since Specialization
Citations

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

Fields of papers citing papers by Aaron McCoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron McCoy

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 2
2
The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human diseasebreakdown →
171
3 28
4 2
5
Dynamic Hybrid Strategy Models for Networked Mulitplayer Games
11
6 9
7 3
8
Towards statistical client prediction - analysis of user behavious in distributed interactive media
3
9 4

About Aaron McCoy

Aaron McCoy is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Neurology, having authored 9 papers that have together received 233 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (7 papers), Caching and Content Delivery (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (53 citations), Aging (4 citations) and Genetics (55 citations). Aaron McCoy has collaborated with scholars based in Ireland, United Kingdom and Switzerland. Frequent co-authors include Declan Delaney, Tomás Ward, Séamus McLoone, Sara Wells, Tudor Groza, Federico López, Ann‐Marie Mallon, Violeta Muñoz‐Fuentes, Luís Santos and Pilar Cacheiro. Their work appears in journals such as Nucleic Acids Research, Computers in Biology and Medicine and ACM Transactions on Modeling and Computer Simulation.

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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