Gerard J. Lyons

477 citations
31 papers · 295 · h-index 10

Impact in

Papers in

Gerard J. Lyons

30 papers receiving 250 citations

Peers

Gerard J. Lyons
Comparison fields: 5 of 88
  • Industrial and Manufacturing Engineering 63
  • Software 14
  • Management Information Systems 31
  • Information Systems 61
  • Management Science and Operations Research 33
Replace Issam Nouaouri with:
Issam Nouaouri France
Michael Guckert Germany
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Haeng-Kon Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Gerard J. Lyons

Since Specialization
Citations

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

Fields of papers citing papers by Gerard J. Lyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard J. Lyons. 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 Gerard J. Lyons. The network helps show where Gerard J. Lyons may publish in the future.

Co-authors

The 19 scholars most cited alongside Gerard J. Lyons, 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 Gerard J. Lyons Line = papers co-authored together Gerard J. Lyons links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199449
2 200443
3 200631
4 201430
5 198526
6 200415
7
Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework
200414
8 200612
9 20019
10 19979
11
Storage and drying of forest biomass.
19897
12 20047
13
Short rotation forestry as a source of energy.
19816
14
A Multi-Agent System for Context-based Distributed Data Mining
20034
15 19904
16 19994
17 20053
18
Reflective Channel Hierarchies
20033
19 20052
20
Design of a Virtual Store using Distributed Object Technology
20002

About Gerard J. Lyons

Gerard J. Lyons is a scholar working on Computer Networks and Communications, Management Information Systems, Information Systems, Sociology and Political Science and Artificial Intelligence, having authored 31 papers that have together received 295 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (5 papers), Service-Oriented Architecture and Web Services (4 papers), Mobile Agent-Based Network Management (4 papers), Forest Biomass Utilization and Management (3 papers), Multimedia Communication and Technology (3 papers), ECG Monitoring and Analysis (2 papers), Distributed and Parallel Computing Systems (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (63 citations), Software (14 citations), Management Information Systems (31 citations), Information Systems (61 citations) and Management Science and Operations Research (33 citations). Gerard J. Lyons has collaborated with scholars based in Ireland, Germany and United States. Frequent co-authors include Jim Duggan, Joseph P. Byrne, Michael G. Madden, James Duggan, Richard Bowden, Dayong Gao, Edward Curry, Owen Molloy, Michael Schukat and Ted Scully. Their work appears in journals such as Archaeological Prospection, International Journal of Computer Integrated Manufacturing, Knowledge and Process Management, IEEE Software and Journal of 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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