James Jordon
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Machine Learning in Healthcare
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
- Cryptography and Data Security
- Machine Learning and Data Classification
Papers in
-
- Privacy-Preserving Technologies in Data 3
- Neural Networks and Applications 2
- Machine Learning in Healthcare 2
- Cryptography and Data Security 1
-
- Advanced Causal Inference Techniques 2
- Statistical Methods in Clinical Trials 1
- Co-authors
- Mihaela van der Schaar (10 shared papers)Jinsung Yoon (7 shared papers)Yao Zhang (1 shared paper)Onur Atan (1 shared paper)Ioana Bica (2 shared papers)Ahmed M. Alaa (1 shared paper)Patrick Thoral (1 shared paper)Danielle Belgrave (1 shared paper)
- Journals
- Pure Amsterdam UMC (1 paper)Lirias (KU Leuven) (1 paper)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (2 papers)International Conference on Learning Representations (3 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
James Jordon
10 papers receiving 365 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 272
- Health Informatics 7
- Statistics and Probability 41
- Computer Vision and Pattern Recognition 90
- Health Information Management 16
Countries citing papers authored by James Jordon
This map shows the geographic impact of James Jordon'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 James Jordon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Jordon more than expected).
Fields of papers citing papers by James Jordon
This network shows the impact of papers produced by James Jordon. 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 James Jordon. The network helps show where James Jordon may publish in the future.
Co-authors
The 12 scholars most cited alongside James Jordon, 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 | PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees | 2018 | 148 |
| 2 | VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain | 2020 | 66 |
| 3 | GAIN: Missing Data Imputation using Generative Adversarial Nets | 2018 | 61 |
| 4 | INVASE: Instance-wise Variable Selection using Neural Networks | 2018 | 39 |
| 5 | KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks | 2018 | 19 |
| 6 | 2018 | 19 | |
| 7 | 2020 | 17 | |
| 8 | Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification | 2020 | 7 |
| 9 | OrganITE: Optimal transplant donor organ offering using an individual treatment effect | 2020 | 5 |
| 10 | Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate | 2019 | 4 |
About James Jordon
James Jordon is a scholar working on Artificial Intelligence, Statistics and Probability, Surgery, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 385 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Advanced Causal Inference Techniques (2 papers), Neural Networks and Applications (2 papers), Machine Learning in Healthcare (2 papers), Cryptography and Data Security (1 paper), Liver Disease and Transplantation (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Artificial Intelligence (272 citations), Health Informatics (7 citations), Statistics and Probability (41 citations), Computer Vision and Pattern Recognition (90 citations) and Health Information Management (16 citations). James Jordon has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Mihaela van der Schaar, Jinsung Yoon, Yao Zhang, Onur Atan, Ioana Bica, Ahmed M. Alaa, Patrick Thoral, Danielle Belgrave, Paul Elbers and Daniel Jarrett. Their work appears in journals such as Pure Amsterdam UMC, Lirias (KU Leuven), arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.
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.