Science Explorer Back to mapMap
Discussion
Researcher · Coventry University · United Kingdom

Alireza Daneshkhah

Alireza Daneshkhah publishes mostly in Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty, on topics such as Probabilistic and Robust Engineering Design, Statistical Distribution Estimation and Applications and Reliability and Maintenance Optimization.

ORCID 0000-0001-7751-4307 OpenAlex
World rank
#224,617
of 7,710,434 ranked researchers
Rank in United Kingdom
#20,329
of 367,258
Works
173
Citations
5.7k
Citations per work
32.8
h-index
30
i10-index 63Top 4.8% in Artificial Intelligence
Alireza Daneshkhah

What does Alireza Daneshkhah research?

Alireza Daneshkhah's work is mostly in Computer Science (12%), Mathematics (6%), Decision Sciences (4%).

Everything else: 122 works · 70.6% of their workPhysical Sciences: 38 works · 21.9% of their workComputer Science: 21 works · 12.0% of their workArtificial Intelligence: 14 works · 8.2% of their workComputer Vision and Pattern Recognition: 7 works · 3.8% of their workMathematics: 11 works · 6.1% of their workStatistics and Probability: 11 works · 6.1% of their workEnvironmental Science: 7 works · 3.8% of their workGlobal and Planetary Change: 7 works · 3.8% of their workSocial Sciences: 13 works · 7.5% of their workDecision Sciences: 7 works · 4.0% of their workStatistics, Probability and Uncertainty: 7 works · 4.0% of their workPsychology: 6 works · 3.5% of their workClinical Psychology: 6 works · 3.5% of their workTHEIR WORKAlirezaDaneshkhah173works
Physical Sciences22%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. Everything else12270.6%
    1. Computer Science2112.0%
    2. Mathematics116.1%
    3. Environmental Science73.8%
    1. Decision Sciences74.0%
    2. Psychology63.5%
  1. 1Artificial Intelligence8% of their works
  2. 2Statistics and Probability6% of their works
  3. 3Statistics, Probability and Uncertainty4% of their works
  4. 4Computer Vision and Pattern Recognition4% of their works
  5. 5Global and Planetary Change4% of their works
  6. 6Clinical Psychology4% of their works

Research topics

Which keywords describe Alireza Daneshkhah's research?

The keywords of their largest research topics: Bayesian Inference, Deep Learning, Machine Learning, Sensitivity Analysis, Uncertainty Quantification, Generalized Exponential, Skew Distributions and GARCH Models.

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. Bayesian Inference172 topics
  2. Deep Learning152 topics
  3. Machine Learning152 topics
  4. Sensitivity Analysis141 topic
  5. Uncertainty Quantification141 topic
  6. Generalized Exponential101 topic
  7. Skew Distributions101 topic
  8. GARCH Models91 topic
  9. Maintenance Optimization91 topic
  10. Reliability Engineering91 topic
  11. Volatility91 topic
  12. Autonomous Vehicles81 topic
  13. Bayesian Networks81 topic
  14. Causal Inference81 topic
  15. Trajectory Prediction81 topic
  16. Gaussian Processes71 topic
  17. Variational Inference71 topic
  18. Data Assimilation61 topic
  19. Ensemble Kalman Filter61 topic

Where does Alireza Daneshkhah work?

Alireza Daneshkhah's main affiliation in the publication record is Coventry University, United Kingdom.

How many publications and citations does Alireza Daneshkhah have?

OpenAlex counts 173 works and 5,680 citations for Alireza Daneshkhah, an h-index of 30, ranking #224,617 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 Alireza Daneshkhah. 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.