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Researcher · Saratoga Hospital · United States

Praveen Gujar

Praveen Gujar publishes mostly in Management Information Systems, Information Systems and Artificial Intelligence, on topics such as Big Data and Business Intelligence, Software Engineering Techniques and Practices and Semantic Web and Ontologies.

ORCID 0009-0008-9905-1751 OpenAlex
World rank
#2,631,086
of 7,710,434 ranked researchers
Rank in United States
#770,345
of 1,627,098
Works
21
Citations
70
Citations per work
3.3
h-index
6
i10-index 3Top 73% in Management Information Systems
Praveen Gujar

What does Praveen Gujar research?

Praveen Gujar's work is mostly in Computer Science (33%), Business, Management and Accounting (20%), Decision Sciences (13%).

Social Sciences: 8 works · 40.0% of their workBusiness, Management and Accounting: 4 works · 20.0% of their workManagement Information Systems: 4 works · 20.0% of their workDecision Sciences: 3 works · 13.3% of their workManagement Science and Operations Research: 3 works · 13.3% of their workSocial Sciences: 1 works · 6.7% of their workSociology and Political Science: 1 works · 6.7% of their workPhysical Sciences: 8 works · 37.8% of their workComputer Science: 7 works · 33.4% of their workInformation Systems: 4 works · 17.8% of their workArtificial Intelligence: 3 works · 15.6% of their workEngineering: 1 works · 4.4% of their workIndustrial and Manufacturing Engineering: 1 works · 4.4% of their workEverything else: 5 works · 22.2% of their workTHEIR WORKPraveen Gujar21works
Physical Sciences38%Social Sciences40%

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 Accounting420.0%
    2. Decision Sciences313.3%
    3. Social Sciences16.7%
    1. Computer Science733.4%
    2. Engineering14.4%
  3. Everything else522.2%
  1. 1Management Information Systems20% of their works
  2. 2Information Systems18% of their works
  3. 3Artificial Intelligence16% of their works
  4. 4Management Science and Operations Research13% of their works
  5. 5Sociology and Political Science7% of their works
  6. 6Industrial and Manufacturing Engineering4% of their works

Research topics

Which keywords describe Praveen Gujar's research?

The keywords of their largest research topics: Big Data, Supply Chain Management, Sustainability, Analytics, Business Intelligence, Agile Software Development, Artificial Intelligence and Data Integration.

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. Big Data113 topics
  2. Supply Chain Management113 topics
  3. Sustainability92 topics
  4. Analytics71 topic
  5. Business Intelligence71 topic
  6. Agile Software Development41 topic
  7. Artificial Intelligence42 topics
  8. Data Integration42 topics
  9. Digital Twin42 topics
  10. Empirical Studies41 topic
  11. Internet of Things42 topics
  12. Big Data Analytics21 topic
  13. Business Process Management21 topic
  14. Chatbots21 topic
  15. Cloud Manufacturing21 topic
  16. Data Cleaning21 topic
  17. Ontology21 topic
  18. Record Linkage21 topic
  19. Semantic Web21 topic
  20. Service Robots21 topic
  21. Smart Factory21 topic
  22. Smart Manufacturing21 topic
  23. Workflow Mining21 topic

Where does Praveen Gujar work?

Praveen Gujar's main affiliation in the publication record is Saratoga Hospital, United States.

How many publications and citations does Praveen Gujar have?

OpenAlex counts 21 works and 70 citations for Praveen Gujar, an h-index of 6, ranking #2,631,086 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

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