Science Explorer Back to mapMap
Discussion
Researcher · Concordia University · Canada

Yogendra P. Chaubey

Yogendra P. Chaubey publishes mostly in Statistics and Probability, Artificial Intelligence and Applied Mathematics, on topics such as Statistical Methods and Inference, Bayesian Methods and Mixture Models and Advanced Statistical Methods and Models.

ORCID 0000-0002-0234-1429 OpenAlex
World rank
#4,634,903
of 7,710,434 ranked researchers
Rank in Canada
#139,344
of 183,316
Works
146
Citations
2.7k
Citations per work
18.7
h-index
20
i10-index 39Top 21% in Statistics and Probability
Yogendra P. Chaubey

What does Yogendra P. Chaubey research?

Yogendra P. Chaubey's work is mostly in Mathematics (46%), Computer Science (18%), Decision Sciences (4%).

Physical Sciences: 93 works · 64.0% of their workMathematics: 68 works · 46.4% of their workStatistics and Probability: 61 works · 42.1% of their workApplied Mathematics: 6 works · 4.3% of their workComputer Science: 26 works · 17.6% of their workArtificial Intelligence: 21 works · 14.1% of their workComputer Vision and Pattern Recognition: 5 works · 3.5% of their workEverything else: 41 works · 27.9% of their workSocial Sciences: 12 works · 8.1% of their workDecision Sciences: 6 works · 4.3% of their workManagement Science and Operations Research: 6 works · 4.3% of their workEconomics, Econometrics and Finance: 6 works · 3.8% of their workFinance: 6 works · 3.8% of their workTHEIR WORKYogendra P.Chaubey146works
Physical Sciences64%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. Mathematics6846.4%
    2. Computer Science2617.6%
  2. Everything else4127.9%
    1. Decision Sciences64.3%
    2. Economics, Econometrics and Finance63.8%
  1. 1Statistics and Probability42% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Applied Mathematics4% of their works
  4. 4Management Science and Operations Research4% of their works
  5. 5Finance4% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Yogendra P. Chaubey's research?

The keywords of their largest research topics: Bayesian Inference, Regularization, Variable Selection, Clustering, Mixture Models, Multicollinearity, Regression Analysis and Generalized Exponential.

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.

All 17 words, with their numbers
  1. Bayesian Inference752 topics
  2. Regularization561 topic
  3. Variable Selection561 topic
  4. Clustering441 topic
  5. Mixture Models441 topic
  6. Multicollinearity361 topic
  7. Regression Analysis361 topic
  8. Generalized Exponential311 topic
  9. Skew Distributions311 topic
  10. Bayesian Modeling231 topic
  11. Multiple Imputation231 topic
  12. GARCH Models141 topic
  13. Image Denoising141 topic
  14. Sparse Representations141 topic
  15. Volatility141 topic
  16. Randomized Response Technique101 topic
  17. Sensitive Questions101 topic

Where does Yogendra P. Chaubey work?

Yogendra P. Chaubey's main affiliation in the publication record is Concordia University, Canada.

How many publications and citations does Yogendra P. Chaubey have?

OpenAlex counts 146 works and 2,723 citations for Yogendra P. Chaubey, an h-index of 20, ranking #4,634,903 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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 Yogendra P. Chaubey. Posts are plain text and can be reported.