Karla Díaz-Ordaz
- Infectious Diseases top 2%
- Modeling and Simulation top 2%
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques 15
- Statistical Methods in Clinical Trials 9
- Statistical Methods and Bayesian Inference 9
- Statistical Methods and Inference 4
- Health top 5%
- Geriatrics and Gerontology top 5%
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- Health Systems, Economic Evaluations, Quality of Life 15
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- Meta-analysis and systematic reviews 7
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- Mathematical Dynamics and Fractals 5
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- Musculoskeletal pain and rehabilitation 4
- Co-authors
- Ruth H. KeoghNicholas P. JewellChristopher I JarvisW. John EdmundsNicholas G. DaviesSandra EldridgeMichael G. KenwardRichard Grieve
- Journals
- Nature (1 paper)The Lancet (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Karla Díaz-Ordaz
50 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Infectious Diseases 646
- Modeling and Simulation 148
- Statistics and Probability 177
- Health 180
- Geriatrics and Gerontology 57
Countries citing papers authored by Karla Díaz-Ordaz
This map shows the geographic impact of Karla Díaz-Ordaz'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 Karla Díaz-Ordaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karla Díaz-Ordaz more than expected).
Fields of papers citing papers by Karla Díaz-Ordaz
This network shows the impact of papers produced by Karla Díaz-Ordaz. 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 Karla Díaz-Ordaz. The network helps show where Karla Díaz-Ordaz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karla Díaz-Ordaz, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 17 | |
| 11 | Risk prediction of covid-19 related death and hospital admission in adults after covid-19 vaccination: national prospective cohort studybreakdown → | 2021 | 196 |
| 12 | 2021 | 4 | |
| 13 | 2021 | 47 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 89 | |
| 16 | 2014 | 4 | |
| 17 | 2014 | 36 | |
| 18 | 2013 | 13 | |
| 19 | 2013 | 38 | |
| 20 | 2013 | 95 |
About Karla Díaz-Ordaz
Karla Díaz-Ordaz is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (15 papers), Advanced Causal Inference Techniques (15 papers), Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (9 papers), Meta-analysis and systematic reviews (7 papers), Mathematical Dynamics and Fractals (5 papers), Musculoskeletal pain and rehabilitation (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Infectious Diseases (646 citations), Modeling and Simulation (148 citations) and Statistics and Probability (177 citations). Karla Díaz-Ordaz has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Ruth H. Keogh, Nicholas P. Jewell, Christopher I Jarvis, W. John Edmunds, Nicholas G. Davies, Sandra Eldridge, Michael G. Kenward, Richard Grieve, Martin Underwood and Bart Sheehan. Their work appears in journals such as Nature, The Lancet and SHILAP Revista de lepidopterología.
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.