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Researcher · Rochester Institute of Technology · United States

M. Pamela Neely

M. Pamela Neely publishes mostly in Management Information Systems, Management Science and Operations Research and Information Systems, on topics such as Data Quality and Management, Big Data and Business Intelligence and Advanced Database Systems and Queries.

ORCID 0009-0006-5899-6148 OpenAlex
World rank
#5,047,942
of 7,710,434 ranked researchers
Rank in United States
#1,306,772
of 1,627,098
Works
34
Citations
169
Citations per work
5.0
h-index
6
i10-index 5Top 73% in Management Information Systems
M. Pamela Neely

What does M. Pamela Neely research?

M. Pamela Neely's work is mostly in Computer Science (25%), Business, Management and Accounting (23%), Decision Sciences (18%).

Social Sciences: 16 works · 45.6% of their workBusiness, Management and Accounting: 8 works · 22.8% of their workManagement Information Systems: 8 works · 22.8% of their workDecision Sciences: 6 works · 18.5% of their workManagement Science and Operations Research: 6 works · 18.5% of their workSocial Sciences: 1 works · 4.3% of their workSociology and Political Science: 1 works · 4.3% of their workEverything else: 10 works · 29.4% of their workPhysical Sciences: 8 works · 25.0% of their workComputer Science: 8 works · 25.0% of their workInformation Systems: 4 works · 10.9% of their workComputer Science Applications: 3 works · 7.6% of their workComputer Networks and Communications: 2 works · 6.5% of their workTHEIR WORKM. Pamela Neely34works
Physical Sciences25%Social Sciences46%

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 Accounting822.8%
    2. Decision Sciences618.5%
    3. Social Sciences14.3%
  2. Everything else1029.4%
    1. Computer Science825.0%
  1. 1Management Information Systems23% of their works
  2. 2Management Science and Operations Research18% of their works
  3. 3Information Systems11% of their works
  4. 4Computer Science Applications8% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe M. Pamela Neely's research?

The keywords of their largest research topics: Big Data, Data Cleaning, Record Linkage, Supply Chain Management, Analytics, Business Intelligence, Continuous Queries and Data Stream Management.

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 19 words, with their numbers
  1. Big Data302 topics
  2. Data Cleaning171 topic
  3. Record Linkage171 topic
  4. Supply Chain Management162 topics
  5. Analytics131 topic
  6. Business Intelligence131 topic
  7. Continuous Queries61 topic
  8. Data Stream Management61 topic
  9. IT skills51 topic
  10. curriculum guidelines51 topic
  11. Online Learning42 topics
  12. Enterprise Resource Planning31 topic
  13. GPS Trajectories31 topic
  14. Implementation Procedures31 topic
  15. Trajectory Data Mining31 topic
  16. Educational Data Mining21 topic
  17. Learning Analytics21 topic
  18. Learning Object Repositories21 topic
  19. Open Educational Resources21 topic

Where does M. Pamela Neely work?

M. Pamela Neely's main affiliation in the publication record is Rochester Institute of Technology, United States.

How many publications and citations does M. Pamela Neely have?

OpenAlex counts 34 works and 169 citations for M. Pamela Neely, an h-index of 6, ranking #5,047,942 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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