Science Explorer Back to mapMap
Discussion
Researcher · Universidade Feevale · Brazil

Darlan Daniel Alves

Darlan Daniel Alves publishes mostly in Health, Toxicology and Mutagenesis, Atmospheric Science and Water Science and Technology, on topics such as Air Quality and Health Impacts, Atmospheric chemistry and aerosols and Air Quality Monitoring and Forecasting.

ORCID 0000-0002-2633-2033 OpenAlex
World rank
#5,573,592
of 7,710,434 ranked researchers
Rank in Brazil
#120,212
of 253,246
Works
23
Citations
218
Citations per work
9.5
h-index
8
i10-index 7Top 83% in Health, Toxicology and Mutagenesis
Darlan Daniel Alves

What does Darlan Daniel Alves research?

Darlan Daniel Alves's work is mostly in Environmental Science (57%), Earth and Planetary Sciences (13%).

Physical Sciences: 16 works · 70.5% of their workEnvironmental Science: 13 works · 57.4% of their workHealth, Toxicology and Mutagenesis: 5 works · 21.3% of their workWater Science and Technology: 3 works · 13.1% of their workEnvironmental Engineering: 2 works · 8.2% of their workIndustrial and Manufacturing Engineering: 2 works · 8.2% of their workGlobal and Planetary Change: 2 works · 6.6% of their workEarth and Planetary Sciences: 3 works · 13.1% of their workAtmospheric Science: 3 works · 13.1% of their workEverything else: 7 works · 29.5% of their workTHEIR WORKDarlan DanielAlves23works
Physical Sciences70%

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. Environmental Science1357.4%
    2. Earth and Planetary Sciences313.1%
  2. Everything else729.5%
  1. 1Health, Toxicology and Mutagenesis21% of their works
  2. 2Atmospheric Science13% of their works
  3. 3Water Science and Technology13% of their works
  4. 4Environmental Engineering8% of their works
  5. 5Industrial and Manufacturing Engineering8% of their works
  6. 6Global and Planetary Change7% of their works

Research topics

Which keywords describe Darlan Daniel Alves's research?

The keywords of their largest research topics: Particulate Matter, Air Pollution, Health Effects, Atmospheric Aerosols, Black Carbon, Machine Learning, Toxicity and Water Quality.

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 20 words, with their numbers
  1. Particulate Matter152 topics
  2. Air Pollution101 topic
  3. Health Effects101 topic
  4. Atmospheric Aerosols81 topic
  5. Black Carbon81 topic
  6. Machine Learning82 topics
  7. Toxicity62 topics
  8. Water Quality62 topics
  9. Air Quality Monitoring51 topic
  10. Low-Cost Sensors51 topic
  11. Multivariate Statistical Techniques51 topic
  12. Water Quality Index51 topic
  13. Brominated Flame Retardants31 topic
  14. Contamination31 topic
  15. Groundwater31 topic
  16. Heavy Metals31 topic
  17. Isotopes31 topic
  18. Monitoring31 topic
  19. Polycyclic Aromatic Hydrocarbons31 topic
  20. Wastewater31 topic

Where does Darlan Daniel Alves work?

Darlan Daniel Alves's main affiliation in the publication record is Universidade Feevale, Brazil.

How many publications and citations does Darlan Daniel Alves have?

OpenAlex counts 23 works and 218 citations for Darlan Daniel Alves, an h-index of 8, ranking #5,573,592 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

Ask a question or share a note about Darlan Daniel Alves. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.