Graham Healy

1.6k total citations · 1 hit paper
61 papers, 925 citations indexed

About

Graham Healy is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Graham Healy has authored 61 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 22 papers in Cognitive Neuroscience and 17 papers in Artificial Intelligence. Recurrent topics in Graham Healy's work include Multimodal Machine Learning Applications (17 papers), EEG and Brain-Computer Interfaces (15 papers) and Neural dynamics and brain function (10 papers). Graham Healy is often cited by papers focused on Multimodal Machine Learning Applications (17 papers), EEG and Brain-Computer Interfaces (15 papers) and Neural dynamics and brain function (10 papers). Graham Healy collaborates with scholars based in Ireland, Vietnam and Switzerland. Graham Healy's co-authors include Alan F. Smeaton, Cathal Gurrin, Minh–Triet Tran, Tomás Ward, Luca Rossetto, Jakub Lokoč, Björn Þór Jónsson, Lorraine Boran, Wolfgang Hürst and Zhengwei Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Graham Healy

51 papers receiving 895 citations

Hit Papers

Contrastive Representation Learning: A Framework and Review 2020 2026 2022 2024 2020 100 200 300 400

Peers

Graham Healy
Comparison fields: 5 of 121
  • Artificial Intelligence 403
  • Computer Vision and Pattern Recognition 374
  • Cognitive Neuroscience 105
  • Information Systems 59
  • Signal Processing 52
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M. Ashraful Amin Bangladesh View profile →
Citations per field, relative to Graham Healy
Graham Healy · 1×
Citations per year, relative to Graham Healy
Graham Healy · 1×

Countries citing papers authored by Graham Healy

Since Specialization
Citations

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

Fields of papers citing papers by Graham Healy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Healy

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Healy. A scholar is included among the top collaborators of Graham Healy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Graham Healy. Graham Healy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 0
5 2
6 14
7 3
8 4
9
DCU team at the NTCIR-15 micro-activity retrieval task
1
10 5
11
Finding Short Lived Events on Social Media.
1
12
Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data
0
13
Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks
5
14 7
15
An EEG Image-search dataset: a first-of-its-kind in IR/IIR. NAILS: neurally augmented image labelling strategies
2
16
Overview of NTCIR-13 NAILS task
3
17
Multimodal validation of facial expression detection software for real-time monitoring of affect in patients with suicidal intent
1
18
Lifelogging and EEG: utilising neural signals for sorting lifelog image data
1
19
TennisSense: a multi-sensory approach to performance analysis in tennis
5
20
Curiosity Cloning: Neural Analysis of Scientific Knowledge
1

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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