Melanie F. Pradier
- Health Informatics top 2%
- Safety Research top 10%
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- Treatment of Major Depression 4
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- Bayesian Methods and Mixture Models 2
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- Mental Health Research Topics 2
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- Economic and Technological Innovation 1
- Health Systems, Economic Evaluations, Quality of Life 1
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- Sensory Analysis and Statistical Methods 1
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- CAR-T cell therapy research 1
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- Genetic and phenotypic traits in livestock 1
- Co-authors
- Thomas H. McCoyFinale Doshi‐VelezRoy H. PerlisMaia JacobsKrzysztof Z. GajosMichael C. HughesFernando Pérez‐CruzLjupčo Kocarev
- Journals
- PLoS ONE (2 papers)Neuropsychopharmacology (1 paper)Journal of Affective Disorders (1 paper)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Melanie F. Pradier
10 papers receiving 218 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 61
- Family Practice 12
- Business and International Management 8
- Safety Research 32
- Applied Psychology 18
Countries citing papers authored by Melanie F. Pradier
This map shows the geographic impact of Melanie F. Pradier'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 Melanie F. Pradier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melanie F. Pradier more than expected).
Fields of papers citing papers by Melanie F. Pradier
This network shows the impact of papers produced by Melanie F. Pradier. 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 Melanie F. Pradier. The network helps show where Melanie F. Pradier may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Melanie F. Pradier, 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 | 2022 | 3 | |
| 2 | 2021 | 137 | |
| 3 | General Latent Feature Models for Heterogeneous Datasets | 2020 | 2 |
| 4 | 2020 | 18 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 21 | |
| 7 | 2019 | 3 | |
| 8 | Challenges in Computing and Optimizing Upper Bounds of Marginal Likelihood based on Chi-Square Divergences | 2019 | 0 |
| 9 | 2018 | 23 | |
| 10 | 2018 | 1 | |
| 11 | 2016 | 4 |
About Melanie F. Pradier
Melanie F. Pradier is a scholar working on Health Informatics, Biological Psychiatry and Pharmacology, having authored 11 papers that have together received 226 indexed citations. Recurring topics across this work include Treatment of Major Depression (4 papers), Bayesian Methods and Mixture Models (2 papers), Mental Health Research Topics (2 papers), Economic and Technological Innovation (1 paper), Sensory Analysis and Statistical Methods (1 paper), CAR-T cell therapy research (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Health Informatics (61 citations), Family Practice (12 citations) and Business and International Management (8 citations). Melanie F. Pradier has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Thomas H. McCoy, Finale Doshi‐Velez, Roy H. Perlis, Maia Jacobs, Krzysztof Z. Gajos, Michael C. Hughes, Fernando Pérez‐Cruz, Ljupčo Kocarev, Zoran Utkovski and Viktor Stojkoski. Their work appears in journals such as PLoS ONE, Neuropsychopharmacology and Journal of Affective Disorders.
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.