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Researcher · Nirma (India) · India

Johny Scaria

Johny Scaria publishes mostly in Statistics and Probability, Statistics, Probability and Uncertainty and Management Information Systems, on topics such as Statistical Distribution Estimation and Applications, Quality and Supply Management and Bayesian Methods and Mixture Models.

OpenAlex
World rank
#2,277,044
of 7,710,434 ranked researchers
Rank in India
#41,348
of 280,097
Works
16
Citations
461
Citations per work
28.8
h-index
8
i10-index 6Top 66% in Statistics and Probability
Johny Scaria

What does Johny Scaria research?

Johny Scaria's work is mostly in Mathematics (18%), Business, Management and Accounting (14%), Decision Sciences (14%).

Social Sciences: 6 works · 36.3% of their workBusiness, Management and Accounting: 2 works · 13.6% of their workManagement Information Systems: 2 works · 13.6% of their workDecision Sciences: 2 works · 13.6% of their workStatistics, Probability and Uncertainty: 2 works · 13.6% of their workEconomics, Econometrics and Finance: 1 works · 9.1% of their workFinance: 1 works · 9.1% of their workEverything else: 5 works · 29.6% of their workPhysical Sciences: 4 works · 27.3% of their workMathematics: 3 works · 18.2% of their workStatistics and Probability: 3 works · 18.2% of their workComputer Science: 1 works · 9.1% of their workArtificial Intelligence: 1 works · 9.1% of their workHealth Sciences: 1 works · 6.8% of their workHealth Professions: 1 works · 6.8% of their workMedical Laboratory Technology: 1 works · 6.8% of their workTHEIR WORKJohny Scaria16works
Physical Sciences27%Health Sciences7%Social Sciences36%

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. Business, Management and Accounting213.6%
    2. Decision Sciences213.6%
    3. Economics, Econometrics and Finance19.1%
  2. Everything else529.6%
    1. Mathematics318.2%
    2. Computer Science19.1%
    1. Health Professions16.8%
  1. 1Statistics and Probability18% of their works
  2. 2Statistics, Probability and Uncertainty14% of their works
  3. 3Management Information Systems14% of their works
  4. 4Artificial Intelligence9% of their works
  5. 5Finance9% of their works
  6. 6Medical Laboratory Technology7% of their works

Research topics

Which keywords describe Johny Scaria's research?

The keywords of their largest research topics: Bayesian Inference, Generalized Exponential, Skew Distributions, Lean Manufacturing, Supply Chain Management, Clustering, GARCH Models and Healthcare Improvement.

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 Inference112 topics
  2. Generalized Exponential71 topic
  3. Skew Distributions71 topic
  4. Lean Manufacturing61 topic
  5. Supply Chain Management61 topic
  6. Clustering41 topic
  7. GARCH Models41 topic
  8. Healthcare Improvement41 topic
  9. Mixture Models41 topic
  10. Statistical Process Control41 topic
  11. Volatility41 topic
  12. Integration31 topic
  13. Maintenance31 topic
  14. Management Systems31 topic
  15. Medical Equipment31 topic
  16. Assembly Planning21 topic
  17. Design for Manufacture21 topic

Where does Johny Scaria work?

Johny Scaria's main affiliation in the publication record is Nirma (India), India.

How many publications and citations does Johny Scaria have?

OpenAlex counts 16 works and 461 citations for Johny Scaria, an h-index of 8, ranking #2,277,044 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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