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Researcher · Reckitt Benckiser (United Kingdom) · United Kingdom

Venkatesh Upadrista

Venkatesh Upadrista publishes mostly in Management Information Systems, Information Systems and Industrial and Manufacturing Engineering, on topics such as Big Data and Business Intelligence, Blockchain Technology Applications and Security and IoT and Edge/Fog Computing.

ORCID 0000-0002-8601-5830 OpenAlex
World rank
#2,814,479
of 7,710,434 ranked researchers
Rank in United Kingdom
#194,537
of 367,258
Works
66
Citations
159
Citations per work
2.4
h-index
6
i10-index 5Top 73% in Management Information Systems
Venkatesh Upadrista

What does Venkatesh Upadrista research?

Venkatesh Upadrista's work is mostly in Business, Management and Accounting (32%), Computer Science (30%), Engineering (11%).

Physical Sciences: 27 works · 41.1% of their workComputer Science: 20 works · 30.4% of their workInformation Systems: 11 works · 17.0% of their workComputer Networks and Communications: 6 works · 9.8% of their workArtificial Intelligence: 2 works · 3.6% of their workEngineering: 7 works · 10.7% of their workIndustrial and Manufacturing Engineering: 7 works · 10.7% of their workSocial Sciences: 21 works · 32.2% of their workBusiness, Management and Accounting: 21 works · 32.2% of their workManagement Information Systems: 19 works · 28.6% of their workOrganizational Behavior and Human Resource Management: 2 works · 3.6% of their workEverything else: 18 works · 26.7% of their workTHEIR WORKVenkateshUpadrista66works
Physical Sciences41%Social Sciences32%

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. Computer Science2030.4%
    2. Engineering710.7%
    1. Business, Management and Accounting2132.2%
  3. Everything else1826.7%
  1. 1Management Information Systems29% of their works
  2. 2Information Systems17% of their works
  3. 3Industrial and Manufacturing Engineering11% of their works
  4. 4Computer Networks and Communications10% of their works
  5. 5Artificial Intelligence4% of their works
  6. 6Organizational Behavior and Human Resource Management4% of their works

Research topics

Which keywords describe Venkatesh Upadrista's research?

The keywords of their largest research topics: Supply Chain Management, Internet of Things, Big Data, Sustainability, Healthcare, Analytics, Business Intelligence and Knowledge Sharing.

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 22 words, with their numbers
  1. Supply Chain Management404 topics
  2. Internet of Things243 topics
  3. Big Data232 topics
  4. Sustainability232 topics
  5. Healthcare182 topics
  6. Analytics171 topic
  7. Business Intelligence171 topic
  8. Knowledge Sharing112 topics
  9. Blockchain101 topic
  10. Smart Contracts101 topic
  11. Edge Computing81 topic
  12. Fog Computing81 topic
  13. Offshoring71 topic
  14. Outsourcing71 topic
  15. Digital Twin61 topic
  16. Smart Manufacturing61 topic
  17. Business Strategy41 topic
  18. IT Alignment41 topic
  19. Innovation Policy31 topic
  20. Technological Revolutions31 topic
  21. Differential Privacy21 topic
  22. Federated Learning21 topic

Where does Venkatesh Upadrista work?

Venkatesh Upadrista's main affiliation in the publication record is Reckitt Benckiser (United Kingdom), United Kingdom.

How many publications and citations does Venkatesh Upadrista have?

OpenAlex counts 66 works and 159 citations for Venkatesh Upadrista, an h-index of 6, ranking #2,814,479 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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