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Researcher · Worcester Polytechnic Institute · United States

Diane M. Strong

Diane M. Strong publishes mostly in Management Information Systems, Information Systems and Management Science and Operations Research, on topics such as Big Data and Business Intelligence, Data Quality and Management and Diabetic Foot Ulcer Assessment and Management.

ORCID 0000-0002-1756-0464 OpenAlex
World rank
#198,280
of 7,710,434 ranked researchers
Rank in United States
#73,627
of 1,627,098
Works
146
Citations
16k
Citations per work
109.7
h-index
38
i10-index 70Top 2.3% in Management Information Systems
Diane M. Strong

What does Diane M. Strong research?

Diane M. Strong's work is mostly in Business, Management and Accounting (17%), Decision Sciences (14%), Computer Science (11%).

Everything else: 66 works · 45.4% of their workSocial Sciences: 56 works · 38.6% of their workBusiness, Management and Accounting: 26 works · 17.5% of their workManagement Information Systems: 26 works · 17.5% of their workDecision Sciences: 20 works · 13.9% of their workManagement Science and Operations Research: 12 works · 8.5% of their workInformation Systems and Management: 8 works · 5.4% of their workSocial Sciences: 11 works · 7.2% of their workSociology and Political Science: 11 works · 7.2% of their workPhysical Sciences: 16 works · 10.8% of their workComputer Science: 16 works · 10.8% of their workInformation Systems: 16 works · 10.8% of their workHealth Sciences: 8 works · 5.2% of their workMedicine: 8 works · 5.2% of their workEndocrinology, Diabetes and Metabolism: 8 works · 5.2% of their workTHEIR WORKDiane M. Strong146works
Physical Sciences11%Health Sciences5%Social Sciences39%

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 else6645.4%
    1. Business, Management and Accounting2617.5%
    2. Decision Sciences2013.9%
    3. Social Sciences117.2%
    1. Computer Science1610.8%
    1. Medicine85.2%
  1. 1Management Information Systems18% of their works
  2. 2Information Systems11% of their works
  3. 3Management Science and Operations Research8% of their works
  4. 4Sociology and Political Science7% of their works
  5. 5Information Systems and Management5% of their works
  6. 6Endocrinology, Diabetes and Metabolism5% of their works

Research topics

Which keywords describe Diane M. Strong's research?

The keywords of their largest research topics: Big Data, Supply Chain Management, Information Systems, Prevention, IT Governance, Knowledge Sharing, Analytics and Business Intelligence.

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. Big Data512 topics
  2. Supply Chain Management402 topics
  3. Information Systems352 topics
  4. Prevention342 topics
  5. IT Governance322 topics
  6. Knowledge Sharing322 topics
  7. Analytics261 topic
  8. Business Intelligence261 topic
  9. Data Cleaning251 topic
  10. Record Linkage251 topic
  11. Business Strategy181 topic
  12. Design Science181 topic
  13. Diabetes181 topic
  14. Foot Ulcers181 topic
  15. IT Alignment181 topic
  16. Sociomateriality181 topic
  17. Online Shopping171 topic
  18. Technology Acceptance Model171 topic
  19. Pressure Ulcers161 topic
  20. Risk Assessment161 topic
  21. Enterprise Resource Planning141 topic
  22. Implementation Procedures141 topic

Where does Diane M. Strong work?

Diane M. Strong's main affiliation in the publication record is Worcester Polytechnic Institute, United States.

How many publications and citations does Diane M. Strong have?

OpenAlex counts 146 works and 16,014 citations for Diane M. Strong, an h-index of 38, ranking #198,280 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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