Aaron McCoy

557 citations
9 papers · 249 · 1 hit paper · h-index 5

Impact in

Papers in

Aaron McCoy

9 papers receiving 249 citations

Aaron McCoy's Hit Papers

The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease 2022 · 188 citations
1880+1+2Years since publication50100150

Peers

Aaron McCoy
Comparison fields: 5 of 80
  • Aging 4
  • Computer Networks and Communications 52
  • Genetics 55
  • Molecular Biology 113
  • Equine 2
Replace Richard Rivera with:
Richard Rivera Ecuador
Michael P. Trimarchi United States
Yasuomi D. Sato Japan
Ruogu Li China
Petri Klemelä Finland
Rasiah Loganantharaj United States
Ashish Kapoor United States
Seok Jong Yu South Korea
Gentian Buzi United States
Ján Maňuch Canada
Aaron McCoy relative to Richard Rivera Ecuador Richard Rivera's profile →
Citations per field
00.5×3.6×
Richard Rivera · 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-authors

The 21 scholars most cited alongside Aaron McCoy, 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 Aaron McCoy Line = papers co-authored together Aaron McCoy links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease
Hit paper breakdown →
2022188
2 200727
3
Dynamic Hybrid Strategy Models for Networked Mulitplayer Games
200511
4 20059
5 20034
6 20043
7
Towards statistical client prediction - analysis of user behavious in distributed interactive media
20043
8 20222
9 20062

About Aaron McCoy

Aaron McCoy is a scholar working on Computer Networks and Communications, Sociology and Political Science, Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology, having authored 9 papers that have together received 249 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (7 papers), Multimedia Communication and Technology (2 papers), Complex Network Analysis Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers), Caching and Content Delivery (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cloud Computing and Resource Management (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Aging (4 citations), Computer Networks and Communications (52 citations), Genetics (55 citations), Molecular Biology (113 citations) and Equine (2 citations). Aaron McCoy has collaborated with scholars based in Ireland, United Kingdom and Italy. Frequent co-authors include Declan Delaney, Tomás Ward, Séamus McLoone, Luís Santos, Ann‐Marie Mallon, Violeta Muñoz‐Fuentes, Anthony Frost, Pilar Cacheiro, Sara Wells and Federico López. Their work appears in journals such as Nucleic Acids Research, Computers in Biology and Medicine, ACM Transactions on Modeling and Computer Simulation, Maynooth University ePrints and eTheses Archive (Maynooth University) and XRDS Crossroads The ACM Magazine for Students.

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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