Conor Judge
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
Papers in
-
- Artificial Intelligence in Healthcare and Education 9
- Co-authors
- Martin O’DonnellRobert MurphyMaria CostelloMichelle CanavanElaine LoughlinDiarmaid HughesJackie BoschWilliam Whiteley
- Journals
- Age and Ageing (6 papers)Journal of Stroke and Cerebrovascular Diseases (4 papers)EClinicalMedicine (3 papers)European Journal of Neurology (3 papers)JAMA Network Open (2 papers)
- Partner nations
- IrelandUnited KingdomCanada
In The Last Decade
Conor Judge
54 papers receiving 979 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Health Informatics 89
- Obstetrics and Gynecology 92
- Cardiology and Cardiovascular Medicine 249
- Geriatrics and Gerontology 42
- Psychiatry and Mental health 150
Countries citing papers authored by Conor Judge
This map shows the geographic impact of Conor Judge'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 Conor Judge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor Judge more than expected).
Fields of papers citing papers by Conor Judge
This network shows the impact of papers produced by Conor Judge. 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 Conor Judge. The network helps show where Conor Judge may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor Judge, 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 | 2024 | 4 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 23 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 25 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 1 | |
| 17 | 2021 | 25 | |
| 18 | 2020 | 1 | |
| 19 | 2020 | 4 | |
| 20 | 2019 | 8 |
About Conor Judge
Conor Judge is a scholar working on Health Informatics, Geriatrics and Gerontology, Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Statistics and Probability, having authored 61 papers that have together received 993 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (11 papers), Artificial Intelligence in Healthcare and Education (9 papers), Acute Ischemic Stroke Management (8 papers), Meta-analysis and systematic reviews (6 papers), Nutritional Studies and Diet (5 papers), Statistical Methods in Clinical Trials (5 papers), Advanced Causal Inference Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (89 citations), Obstetrics and Gynecology (92 citations), Cardiology and Cardiovascular Medicine (249 citations), Geriatrics and Gerontology (42 citations) and Psychiatry and Mental health (150 citations). Conor Judge has collaborated with scholars based in Ireland, United Kingdom and Canada. Frequent co-authors include Martin O’Donnell, Robert Murphy, Maria Costello, Michelle Canavan, Elaine Loughlin, Diarmaid Hughes, Jackie Bosch, William Whiteley, Ronan P. Killeen and Gerard M. Healy. Their work appears in journals such as Age and Ageing, Journal of Stroke and Cerebrovascular Diseases, EClinicalMedicine, European Journal of Neurology and JAMA Network Open.
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.