David Moloney
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Neural Network Applications
Papers in
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- Computer Graphics and Visualization Techniques 4
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- Advanced Neural Network Applications 9
- Advanced Image and Video Retrieval Techniques 8
- Advanced Vision and Imaging 7
- Co-authors
- Jonathan ByrneGianluca FuranoLuca FanucciAubrey DunneLéonie BuckleyMihalis PsarakisGabriele MeoniKay‐Obbe Voss
- Journals
- Sensors (4 papers)IEEE Journal of Solid-State Circuits (2 papers)IEEE Micro (2 papers)West European Politics (2 papers)Neurocomputing (1 paper)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
David Moloney
49 papers receiving 692 citations
Peers
Comparison fields: 5 of 104
- Hardware and Architecture 115
- Computer Vision and Pattern Recognition 236
- Aerospace Engineering 208
- Computer Networks and Communications 139
- Geology 28
Countries citing papers authored by David Moloney
This map shows the geographic impact of David Moloney'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 David Moloney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Moloney more than expected).
Fields of papers citing papers by David Moloney
This network shows the impact of papers produced by David Moloney. 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 David Moloney. The network helps show where David Moloney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Moloney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2018 | 13 | |
| 8 | 2018 | 3 | |
| 9 | 2018 | 13 | |
| 10 | 2018 | 5 | |
| 11 | 2018 | 21 | |
| 12 | 2017 | 16 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2016 | 1 | |
| 17 | 'The road to fortune': Mount Alexander road in the gold-rush. A cultural route? | 2014 | 1 |
| 18 | 2014 | 30 | |
| 19 | 2012 | 17 | |
| 20 | 1984 | 21 |
About David Moloney
David Moloney is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Hardware and Architecture, Signal Processing and Geology, having authored 52 papers that have together received 735 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (7 papers), European Union Policy and Governance (6 papers), CCD and CMOS Imaging Sensors (5 papers), Computer Graphics and Visualization Techniques (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (115 citations), Computer Vision and Pattern Recognition (236 citations), Aerospace Engineering (208 citations), Computer Networks and Communications (139 citations) and Geology (28 citations). David Moloney has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Jonathan Byrne, Gianluca Furano, Luca Fanucci, Aubrey Dunne, Léonie Buckley, Mihalis Psarakis, Gabriele Meoni, Kay‐Obbe Voss, Véronique Ferlet-Cavrois and Richard D. Richmond. Their work appears in journals such as Sensors, IEEE Journal of Solid-State Circuits, IEEE Micro, West European Politics and Neurocomputing.
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.