Gerard Lacey

1.6k citations
54 papers · 944 · h-index 16

Impact in

Papers in

Gerard Lacey

52 papers receiving 882 citations

Peers

Gerard Lacey
Comparison fields: 5 of 111
  • Human-Computer Interaction 150
  • Computer Vision and Pattern Recognition 425
  • General Dentistry 25
  • Health Informatics 19
  • Occupational Therapy 31
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Anas Tahir Qatar
Hassan Ugail United Kingdom
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George Papagiannakis Greece
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Citations per field
00.5×10×15.5×
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Citations per year

Countries citing papers authored by Gerard Lacey

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Lacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002138
2 1998111
3 201084
4 202056
5 200254
6
User involvement in the design and evaluation of a smart mobility aid.
200141
7 200038
8 200836
9 200636
10 200634
11 200933
12 201929
13 201429
14 200024
15 202324
16 201217
17
Guido, the Robotic SmartWalker for the frail visually impaired
200514
18 200712
19 200911
20 200711

About Gerard Lacey

Gerard Lacey is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases, Aerospace Engineering, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 54 papers that have together received 944 indexed citations. Recurring topics across this work include Infection Control in Healthcare (9 papers), Image Retrieval and Classification Techniques (6 papers), Robotics and Sensor-Based Localization (5 papers), Image Processing Techniques and Applications (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Tactile and Sensory Interactions (4 papers), Context-Aware Activity Recognition Systems (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Human-Computer Interaction (150 citations), Computer Vision and Pattern Recognition (425 citations), General Dentistry (25 citations), Health Informatics (19 citations) and Occupational Therapy (31 citations). Gerard Lacey has collaborated with scholars based in Ireland, Spain and United Kingdom. Frequent co-authors include K. Dawson‐Howe, Niall Winters, José Gaspar, José Santos-Victor, Anarta Ghosh, Diego Rodríguez-Losada, Fidelma Fitzpatrick, Rozenn Dahyot, David Fernández Llorca and Fernando Matı́a. Their work appears in journals such as American Journal of Infection Control, Machine Vision and Applications, PLoS ONE, Image and Vision Computing and Education and Information Technologies.

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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