Kendrick Boyd
Impact in
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- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Imbalanced Data Classification Techniques
- Machine Learning in Healthcare
- Machine Learning and Data Classification
- Topic Modeling
Papers in
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- Privacy-Preserving Technologies in Data 2
- Cryptography and Data Security 2
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- Privacy, Security, and Data Protection 1
- Co-authors
- Vı́tor Santos Costa (1 shared paper)C. David Page (1 shared paper)Jesse Davis (1 shared paper)Éric Lantz (2 shared papers)David Page (2 shared papers)David Page (1 shared paper)Jeremy C. Weiss (1 shared paper)
- Journals
- PubMed (4 papers)
- Partner nations
- United StatesPortugalBelgium
In The Last Decade
Kendrick Boyd
4 papers receiving 84 citations
Peers
Comparison fields: 5 of 60
- Health Informatics 2
- Artificial Intelligence 45
- Computer Science Applications 6
- Health Information Management 5
- Ecological Modeling 3
Countries citing papers authored by Kendrick Boyd
This map shows the geographic impact of Kendrick Boyd'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 Kendrick Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kendrick Boyd more than expected).
Fields of papers citing papers by Kendrick Boyd
This network shows the impact of papers produced by Kendrick Boyd. 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 Kendrick Boyd. The network helps show where Kendrick Boyd may publish in the future.
Co-authors
The 7 scholars most cited alongside Kendrick Boyd, 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 | Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation. | 2012 | 47 |
| 2 | Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution. | 2015 | 18 |
| 3 | 2015 | 13 | |
| 4 | 2015 | 6 |
About Kendrick Boyd
Kendrick Boyd is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Epidemiology and Computational Theory and Mathematics, having authored 4 papers that have together received 84 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (2 papers), Cryptography and Data Security (2 papers), Rough Sets and Fuzzy Logic (1 paper), Statistical Methods and Inference (1 paper), Privacy, Security, and Data Protection (1 paper), Advanced Causal Inference Techniques (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (2 citations), Artificial Intelligence (45 citations), Computer Science Applications (6 citations), Health Information Management (5 citations) and Ecological Modeling (3 citations). Kendrick Boyd has collaborated with scholars based in United States, Portugal and Belgium. Frequent co-authors include Vı́tor Santos Costa, C. David Page, Jesse Davis, Éric Lantz, David Page, David Page and Jeremy C. Weiss. Their work appears in journals such as PubMed.
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.