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Researcher · Gannon University · United States

Rejon Kumar Ray

Rejon Kumar Ray publishes mostly in Management Science and Operations Research, Artificial Intelligence and Marketing, on topics such as Stock Market Forecasting Methods, Blockchain Technology Applications and Security and Artificial Intelligence in Healthcare and Education.

ORCID 0009-0009-1549-844X OpenAlex
World rank
#1,011,868
of 7,710,434 ranked researchers
Rank in United States
#329,959
of 1,627,098
Works
17
Citations
279
Citations per work
16.4
h-index
8
i10-index 8Top 57% in Management Science and Operations Research
Rejon Kumar Ray

What does Rejon Kumar Ray research?

Rejon Kumar Ray's work is mostly in Business, Management and Accounting (14%), Computer Science (10%), Decision Sciences (10%).

Everything else: 10 works · 57.1% of their workSocial Sciences: 5 works · 28.6% of their workBusiness, Management and Accounting: 2 works · 14.3% of their workMarketing: 2 works · 9.5% of their workManagement Information Systems: 1 works · 4.8% of their workDecision Sciences: 2 works · 9.5% of their workManagement Science and Operations Research: 2 works · 9.5% of their workEconomics, Econometrics and Finance: 1 works · 4.8% of their workEconomics and Econometrics: 1 works · 4.8% of their workPhysical Sciences: 2 works · 9.5% of their workComputer Science: 2 works · 9.5% of their workArtificial Intelligence: 2 works · 9.5% of their workHealth Sciences: 1 works · 4.8% of their workMedicine: 1 works · 4.8% of their workHealth Informatics: 1 works · 4.8% of their workTHEIR WORKRejon Kumar Ray17works
Physical Sciences10%Health Sciences5%Social Sciences29%

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 else1057.1%
    1. Business, Management and Accounting214.3%
    2. Decision Sciences29.5%
    3. Economics, Econometrics and Finance14.8%
    1. Computer Science29.5%
    1. Medicine14.8%
  1. 1Management Science and Operations Research10% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Marketing10% of their works
  4. 4Economics and Econometrics5% of their works
  5. 5Health Informatics5% of their works
  6. 6Management Information Systems5% of their works

Research topics

Which keywords describe Rejon Kumar Ray's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Big Data, Healthcare, Neural Networks, Sentiment Analysis, Supply Chain Management and Stock Market Prediction.

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 23 words, with their numbers
  1. Deep Learning64 topics
  2. Machine Learning64 topics
  3. Big Data42 topics
  4. Healthcare42 topics
  5. Neural Networks42 topics
  6. Sentiment Analysis42 topics
  7. Supply Chain Management42 topics
  8. Stock Market Prediction31 topic
  9. Time Series Forecasting31 topic
  10. Analytics21 topic
  11. Artificial Intelligence21 topic
  12. Blockchain21 topic
  13. Business Intelligence21 topic
  14. Churn Prediction21 topic
  15. Customer Equity21 topic
  16. Internet of Things21 topic
  17. Medical Imaging21 topic
  18. Anomaly Detection11 topic
  19. Histopathology Images11 topic
  20. Medical Image Analysis11 topic
  21. Opinion Mining11 topic
  22. Social Media11 topic
  23. Unsupervised11 topic

Where does Rejon Kumar Ray work?

Rejon Kumar Ray's main affiliation in the publication record is Gannon University, United States.

How many publications and citations does Rejon Kumar Ray have?

OpenAlex counts 17 works and 279 citations for Rejon Kumar Ray, an h-index of 8, ranking #1,011,868 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.

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