Liam Murphy

2.8k citations
141 papers · 1.7k indexed · h-index 22

Liam Murphy

129 papers receiving 1.6k citations

Peers

Liam Murphy
Comparison fields: 5 of 80
  • Computer Networks and Communications 1.1k
  • Signal Processing 277
  • Computer Vision and Pattern Recognition 417
  • Electrical and Electronic Engineering 786
  • Hardware and Architecture 55
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Countries citing papers authored by Liam Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Liam Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Liam Murphy, 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 Liam Murphy Line = papers co-authored together Liam Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20232
4 202217
5 20200
6 20202
7 202022
8
Enhancing the Utility of Anonymized Data by Improving the Quality of Generalization Hierarchies
20175
9 201617
10
Ontology-Based Quality Evaluation of Value Generalization Hierarchies for Data Anonymization
20152
11 20143
12
A Systematic Comparison and Evaluation of k-Anonymization Algorithms for Practitioners
201437
13 200831
14 200810
15
Method Input Parameters and Performance of EJB Applications.
20050
16
Issues in Developing a Simulation Model of an EJB Application Server.
20041
17
An Adaptive MPEG-4 Streaming System Based on Object Prioritisation
20032
18
The Role of Responsive Pricing in the Internet
19961
19
A decomposition-coordination approach for large-scale optimization
19953
20
Distributed Constrained Optimization.
19935

About Liam Murphy

Liam Murphy is a scholar working on Computer Networks and Communications, Software, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 141 papers that have together received 1.7k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (29 papers), Wireless Networks and Protocols (28 papers), Image and Video Quality Assessment (21 papers), Peer-to-Peer Network Technologies (20 papers), Multimedia Communication and Technology (18 papers), Advanced Wireless Network Optimization (16 papers), Video Coding and Compression Technologies (14 papers) and IPv6, Mobility, Handover, Networks, Security (13 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Signal Processing (277 citations), Computer Vision and Pattern Recognition (417 citations), Electrical and Electronic Engineering (786 citations) and Hardware and Architecture (55 citations). Liam Murphy has collaborated with scholars based in Ireland, United States and Canada. Frequent co-authors include Philip Perry, Gabriel‐Miro Muntean, F.F. Wu, John Murphy, D.M. Falcão, Séan Murphy, Tarik Taleb, A. Nafaa, Christina Thorpe and Anthony Ventresque. Their work appears in journals such as IEEE Transactions on Broadcasting, IEEE Transactions on Power Systems, IEEE Access, IEEE Communications Magazine and Future Generation Computer Systems.

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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