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Researcher · Minot State University · United States

Tom Seymour

Tom Seymour publishes mostly in Information Systems, Computer Networks and Communications and Management Information Systems, on topics such as Big Data and Business Intelligence, Web Data Mining and Analysis and Legal Cases and Commentary.

OpenAlex
World rank
#1,984,671
of 7,710,434 ranked researchers
Rank in United States
#603,094
of 1,627,098
Works
25
Citations
869
Citations per work
34.8
h-index
8
i10-index 8Top 30% in Information Systems
Tom Seymour

What does Tom Seymour research?

Tom Seymour's work is mostly in Computer Science (24%), Business, Management and Accounting (9%), Medicine (4%).

Everything else: 14 works · 57.9% of their workPhysical Sciences: 6 works · 24.4% of their workComputer Science: 6 works · 24.4% of their workInformation Systems: 3 works · 11.1% of their workComputer Networks and Communications: 2 works · 8.9% of their workArtificial Intelligence: 1 works · 4.4% of their workSocial Sciences: 3 works · 13.3% of their workBusiness, Management and Accounting: 2 works · 8.9% of their workManagement Information Systems: 2 works · 8.9% of their workSocial Sciences: 1 works · 4.4% of their workEducation: 1 works · 4.4% of their workHealth Sciences: 1 works · 4.4% of their workMedicine: 1 works · 4.4% of their workReproductive Medicine: 1 works · 4.4% of their workTHEIR WORKTom Seymour25works
Physical Sciences24%Health Sciences4%Social Sciences13%

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 else1457.9%
    1. Computer Science624.4%
    1. Business, Management and Accounting28.9%
    2. Social Sciences14.4%
    1. Medicine14.4%
  1. 1Information Systems11% of their works
  2. 2Computer Networks and Communications9% of their works
  3. 3Management Information Systems9% of their works
  4. 4Artificial Intelligence4% of their works
  5. 5Education4% of their works
  6. 6Reproductive Medicine4% of their works

Research topics

Which keywords describe Tom Seymour's research?

The keywords of their largest research topics: Supply Chain Management, Analytics, Big Data, Health Claims, scientific opinion, Web Crawling, Web Data Extraction and Continuous Queries.

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 17 words, with their numbers
  1. Supply Chain Management52 topics
  2. Analytics41 topic
  3. Big Data41 topic
  4. Health Claims21 topic
  5. Web Crawling21 topic
  6. Web Data Extraction21 topic
  7. scientific opinion21 topic
  8. Continuous Queries11 topic
  9. Data Stream Management11 topic
  10. Inflammation11 topic
  11. Machine Learning11 topic
  12. Ontology11 topic
  13. Power Control11 topic
  14. S100 Proteins11 topic
  15. Semantic Web11 topic
  16. Smart Cities11 topic
  17. Wireless Networks11 topic

Where does Tom Seymour work?

Tom Seymour's main affiliation in the publication record is Minot State University, United States.

How many publications and citations does Tom Seymour have?

OpenAlex counts 25 works and 869 citations for Tom Seymour, an h-index of 8, ranking #1,984,671 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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