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Researcher · Universidad Cardenal Herrera CEU · Spain

Paloma Botella-Rocamora

Paloma Botella-Rocamora publishes mostly in Epidemiology, Statistics and Probability and Economics and Econometrics, on topics such as Data-Driven Disease Surveillance, Insurance, Mortality, Demography, Risk Management and Statistical Methods and Inference.

ORCID 0000-0003-1907-6091 OpenAlex
World rank
#1,695,138
of 7,710,434 ranked researchers
Rank in Spain
#35,815
of 204,306
Works
49
Citations
1k
Citations per work
20.9
h-index
13
i10-index 17Top 43% in Epidemiology
Paloma Botella-Rocamora

What does Paloma Botella-Rocamora research?

Paloma Botella-Rocamora's work is mostly in Medicine (11%), Mathematics (8%), Economics, Econometrics and Finance (6%).

Everything else: 29 works · 59.1% of their workPhysical Sciences: 7 works · 13.9% of their workMathematics: 4 works · 8.5% of their workStatistics and Probability: 4 works · 8.5% of their workComputer Science: 3 works · 5.4% of their workArtificial Intelligence: 3 works · 5.4% of their workSocial Sciences: 6 works · 11.6% of their workEconomics, Econometrics and Finance: 3 works · 6.2% of their workEconomics and Econometrics: 3 works · 6.2% of their workSocial Sciences: 3 works · 5.4% of their workDemography: 3 works · 5.4% of their workHealth Sciences: 5 works · 10.8% of their workMedicine: 5 works · 10.8% of their workEpidemiology: 5 works · 10.8% of their workLife Sciences: 2 works · 4.6% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 4.6% of their workGenetics: 2 works · 4.6% of their workTHEIR WORKPalomaBotella-Rocamora49works
Life Sciences5%Physical Sciences14%Health Sciences11%Social Sciences12%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else2959.1%
    1. Mathematics48.5%
    2. Computer Science35.4%
    1. Economics, Econometrics and Finance36.2%
    2. Social Sciences35.4%
    1. Medicine510.8%
    1. Biochemistry, Genetics and Molecular Biology24.6%
  1. 1Epidemiology11% of their works
  2. 2Statistics and Probability8% of their works
  3. 3Economics and Econometrics6% of their works
  4. 4Demography5% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Genetics5% of their works

Research topics

Which keywords describe Paloma Botella-Rocamora's research?

The keywords of their largest research topics: Digital Epidemiology, Disease Surveillance, Deep Learning, Mortality Forecasting, Population Ageing, Regularization, Variable Selection and COVID-19.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 17 words, with their numbers
  1. Digital Epidemiology111 topic
  2. Disease Surveillance111 topic
  3. Deep Learning72 topics
  4. Mortality Forecasting61 topic
  5. Population Ageing61 topic
  6. Regularization51 topic
  7. Variable Selection51 topic
  8. COVID-1941 topic
  9. Electricity Price Forecasting41 topic
  10. Load Forecasting41 topic
  11. Modeling41 topic
  12. Panel Data Models41 topic
  13. Spatial Econometrics41 topic
  14. Building Energy Consumption31 topic
  15. Clustering31 topic
  16. Thermal Comfort31 topic
  17. Time Series31 topic

Where does Paloma Botella-Rocamora work?

Paloma Botella-Rocamora's main affiliation in the publication record is Universidad Cardenal Herrera CEU, Spain.

How many publications and citations does Paloma Botella-Rocamora have?

OpenAlex counts 49 works and 1,023 citations for Paloma Botella-Rocamora, an h-index of 13, ranking #1,695,138 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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