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Researcher · Universidad Pablo de Olavide · Spain

Francisco Martinez Alvarez

Francisco Martinez Alvarez publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Geophysics, on topics such as Energy Load and Power Forecasting, Time Series Analysis and Forecasting and Stock Market Forecasting Methods.

ORCID 0000-0002-6309-1785 OpenAlex
World rank
#145,873
of 7,710,434 ranked researchers
Rank in Spain
#2,065
of 204,306
Works
198
Citations
6.8k
Citations per work
34.4
h-index
43
i10-index 98Top 1.7% in Artificial Intelligence
Francisco Martinez Alvarez

What does Francisco Martinez Alvarez research?

Francisco Martinez Alvarez's work is mostly in Computer Science (27%), Engineering (11%), Earth and Planetary Sciences (10%).

Physical Sciences: 104 works · 52.5% of their workComputer Science: 53 works · 26.6% of their workArtificial Intelligence: 40 works · 20.2% of their workSignal Processing: 13 works · 6.4% of their workEngineering: 22 works · 11.1% of their workElectrical and Electronic Engineering: 22 works · 11.1% of their workEarth and Planetary Sciences: 21 works · 10.5% of their workGeophysics: 21 works · 10.5% of their workEnvironmental Science: 9 works · 4.3% of their workEnvironmental Engineering: 9 works · 4.3% of their workEverything else: 78 works · 39.6% of their workSocial Sciences: 16 works · 7.9% of their workDecision Sciences: 16 works · 7.9% of their workManagement Science and Operations Research: 16 works · 7.9% of their workTHEIR WORKFranciscoMartinez Alvarez198works
Physical Sciences52%Social Sciences8%

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. Computer Science5326.6%
    2. Engineering2211.1%
    3. Earth and Planetary Sciences2110.5%
    4. Environmental Science94.3%
  2. Everything else7839.6%
    1. Decision Sciences167.9%
  1. 1Artificial Intelligence20% of their works
  2. 2Electrical and Electronic Engineering11% of their works
  3. 3Geophysics10% of their works
  4. 4Management Science and Operations Research8% of their works
  5. 5Signal Processing6% of their works
  6. 6Environmental Engineering4% of their works

Research topics

Which keywords describe Francisco Martinez Alvarez's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Electricity Price Forecasting, Load Forecasting, Clustering, Time Series, Machine Learning and Stock Market Prediction.

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 19 words, with their numbers
  1. Deep Learning1063 topics
  2. Neural Networks722 topics
  3. Electricity Price Forecasting431 topic
  4. Load Forecasting431 topic
  5. Clustering341 topic
  6. Time Series341 topic
  7. Machine Learning312 topics
  8. Stock Market Prediction291 topic
  9. Time Series Forecasting291 topic
  10. Earthquakes251 topic
  11. Subduction251 topic
  12. Ionospheric Anomalies211 topic
  13. Seismic Electromagnetics211 topic
  14. Earthquake Detection181 topic
  15. Seismic Signals181 topic
  16. Concept Drift131 topic
  17. Data Mining131 topic
  18. Data Streams131 topic
  19. Frequent Patterns131 topic

Where does Francisco Martinez Alvarez work?

Francisco Martinez Alvarez's main affiliation in the publication record is Universidad Pablo de Olavide, Spain.

How many publications and citations does Francisco Martinez Alvarez have?

OpenAlex counts 198 works and 6,815 citations for Francisco Martinez Alvarez, an h-index of 43, ranking #145,873 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.

Discussion

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