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Researcher · DNV (Norway) · Norway

Per Myrseth

Per Myrseth publishes mostly in Artificial Intelligence, Information Systems and Management Science and Operations Research, on topics such as Semantic Web and Ontologies, Data Quality and Management and Service-Oriented Architecture and Web Services.

ORCID 0009-0002-6586-4777 OpenAlex
World rank
#3,010,979
of 7,710,434 ranked researchers
Rank in Norway
#18,259
of 33,005
Works
22
Citations
180
Citations per work
8.2
h-index
8
i10-index 5Top 56% in Artificial Intelligence
Per Myrseth

What does Per Myrseth research?

Per Myrseth's work is mostly in Computer Science (49%), Decision Sciences (8%), Business, Management and Accounting (7%).

Physical Sciences: 11 works · 49.1% of their workComputer Science: 11 works · 49.1% of their workArtificial Intelligence: 6 works · 25.4% of their workInformation Systems: 4 works · 18.6% of their workComputer Networks and Communications: 1 works · 5.1% of their workEverything else: 7 works · 30.5% of their workSocial Sciences: 4 works · 20.4% of their workDecision Sciences: 2 works · 8.5% of their workManagement Science and Operations Research: 2 works · 8.5% of their workBusiness, Management and Accounting: 1 works · 6.8% of their workManagement Information Systems: 1 works · 6.8% of their workSocial Sciences: 1 works · 5.1% of their workSociology and Political Science: 1 works · 5.1% of their workTHEIR WORKPer Myrseth22works
Physical Sciences49%Social Sciences20%

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 Science1149.1%
  2. Everything else730.5%
    1. Decision Sciences28.5%
    2. Business, Management and Accounting16.8%
    3. Social Sciences15.1%
  1. 1Artificial Intelligence25% of their works
  2. 2Information Systems19% of their works
  3. 3Management Science and Operations Research8% of their works
  4. 4Management Information Systems7% of their works
  5. 5Sociology and Political Science5% of their works
  6. 6Computer Networks and Communications5% of their works

Research topics

Which keywords describe Per Myrseth's research?

The keywords of their largest research topics: Data Integration, Big Data, Ontology, Semantic Web, Data Cleaning, Record Linkage, Supply Chain Management and Sustainability.

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 20 words, with their numbers
  1. Data Integration142 topics
  2. Big Data103 topics
  3. Ontology91 topic
  4. Semantic Web91 topic
  5. Data Cleaning51 topic
  6. Record Linkage51 topic
  7. Supply Chain Management52 topics
  8. Sustainability52 topics
  9. QoS-Aware Middleware41 topic
  10. Semantic Web Services41 topic
  11. Analytics31 topic
  12. Business Intelligence31 topic
  13. Continuous Queries31 topic
  14. Data Stream Management31 topic
  15. Digital Twin21 topic
  16. GPS Trajectories21 topic
  17. Neural Machine Translation21 topic
  18. Smart Manufacturing21 topic
  19. Statistical Machine Translation21 topic
  20. Trajectory Data Mining21 topic

Where does Per Myrseth work?

Per Myrseth's main affiliation in the publication record is DNV (Norway), Norway.

How many publications and citations does Per Myrseth have?

OpenAlex counts 22 works and 180 citations for Per Myrseth, an h-index of 8, ranking #3,010,979 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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