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Researcher · University of Wisconsin–Milwaukee · United States

V. Susarla

V. Susarla publishes mostly in Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, on topics such as Statistical Methods and Inference, Bayesian Methods and Mixture Models and Statistical Distribution Estimation and Applications.

OpenAlex
World rank
#2,925,489
of 7,710,434 ranked researchers
Rank in United States
#843,325
of 1,627,098
Works
61
Citations
1.5k
Citations per work
23.8
h-index
16
i10-index 25Top 30% in Statistics and Probability
V. Susarla

What does V. Susarla research?

V. Susarla's work is mostly in Mathematics (64%), Computer Science (22%), Decision Sciences (6%).

Physical Sciences: 53 works · 86.2% of their workMathematics: 39 works · 64.2% of their workStatistics and Probability: 38 works · 62.3% of their workNumerical Analysis: 1 works · 1.9% of their workComputer Science: 13 works · 22.0% of their workArtificial Intelligence: 13 works · 22.0% of their workSocial Sciences: 5 works · 8.1% of their workDecision Sciences: 3 works · 5.6% of their workManagement Science and Operations Research: 2 works · 3.1% of their workStatistics, Probability and Uncertainty: 2 works · 2.5% of their workEconomics, Econometrics and Finance: 2 works · 2.5% of their workFinance: 2 works · 2.5% of their workEverything else: 3 works · 5.7% of their workTHEIR WORKV. Susarla61works
Physical Sciences86%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. Mathematics3964.2%
    2. Computer Science1322.0%
    1. Decision Sciences35.6%
    2. Economics, Econometrics and Finance22.5%
  3. Everything else35.7%
  1. 1Statistics and Probability62% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Management Science and Operations Research3% of their works
  4. 4Finance2% of their works
  5. 5Statistics, Probability and Uncertainty2% of their works
  6. 6Numerical Analysis2% of their works

Research topics

Which keywords describe V. Susarla's research?

The keywords of their largest research topics: Bayesian Inference, Regularization, Variable Selection, Clustering, Mixture Models, Generalized Exponential, Skew Distributions and Bayesian Modeling.

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 Inference522 topics
  2. Regularization501 topic
  3. Variable Selection501 topic
  4. Clustering331 topic
  5. Mixture Models331 topic
  6. Generalized Exponential191 topic
  7. Skew Distributions191 topic
  8. Bayesian Modeling161 topic
  9. Multiple Imputation161 topic
  10. Multicollinearity111 topic
  11. Regression Analysis111 topic
  12. Insurance51 topic
  13. Risk51 topic
  14. GARCH Models41 topic
  15. Healthcare Improvement41 topic
  16. Statistical Process Control41 topic
  17. Volatility41 topic

Where does V. Susarla work?

V. Susarla's main affiliation in the publication record is University of Wisconsin–Milwaukee, United States.

How many publications and citations does V. Susarla have?

OpenAlex counts 61 works and 1,453 citations for V. Susarla, an h-index of 16, ranking #2,925,489 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.

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