Roy Wedge
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Machine Learning in Healthcare
Papers in
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- Mobile Crowdsensing and Crowdsourcing 1
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- Software Engineering Research 1
- Data Mining Algorithms and Applications 1
- Journals
- Lecture notes in computer science (1 paper)IEEE Conference Proceedings (1 paper)
- Partner nations
- United States
In The Last Decade
Roy Wedge
3 papers receiving 388 citations
Roy Wedge's Hit Papers
Peers
Comparison fields: 5 of 93
- Health Informatics 10
- Artificial Intelligence 229
- Management Science and Operations Research 53
- Computer Science Applications 20
- Signal Processing 37
Countries citing papers authored by Roy Wedge
This map shows the geographic impact of Roy Wedge'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 Roy Wedge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Wedge more than expected).
Fields of papers citing papers by Roy Wedge
This network shows the impact of papers produced by Roy Wedge. 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 Roy Wedge. The network helps show where Roy Wedge may publish in the future.
Co-authors
The 2 scholars most cited alongside Roy Wedge, 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 | The Synthetic Data Vault Hit paper breakdown → | 2016 | 376 |
| 2 | 2017 | 18 | |
| 3 | 2019 | 17 |
About Roy Wedge
Roy Wedge is a scholar working on Computer Science Applications, Information Systems, Signal Processing, Artificial Intelligence and Management Science and Operations Research, having authored 3 papers that have together received 411 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (2 papers), Software Engineering Research (1 paper), Time Series Analysis and Forecasting (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper), Data Mining Algorithms and Applications (1 paper), Advanced Database Systems and Queries (1 paper), Imbalanced Data Classification Techniques (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (229 citations), Management Science and Operations Research (53 citations), Computer Science Applications (20 citations) and Signal Processing (37 citations). Roy Wedge has collaborated with scholars based in United States. Frequent co-authors include Kalyan K. Veeramachaneni and Micah J. Smith. Their work appears in journals such as Lecture notes in computer science and IEEE Conference Proceedings.
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.