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Researcher · University of Wolverhampton · United Kingdom

Kayvan Kousha

Kayvan Kousha publishes mostly in Statistics, Probability and Uncertainty, Information Systems and Information Systems and Management, on topics such as scientometrics and bibliometrics research, Web visibility and informetrics and Research Data Management Practices.

ORCID 0000-0003-4827-971X OpenAlex
World rank
#18,307
of 7,710,434 ranked researchers
Rank in United Kingdom
#1,275
of 367,258
Works
166
Citations
4.7k
Citations per work
28.3
h-index
36
i10-index 77Top 5.1% in Statistics, Probability and Uncertainty
Kayvan Kousha

What does Kayvan Kousha research?

Kayvan Kousha's work is mostly in Decision Sciences (38%), Computer Science (25%), Medicine (5%).

Social Sciences: 71 works · 42.6% of their workDecision Sciences: 63 works · 38.1% of their workStatistics, Probability and Uncertainty: 50 works · 30.2% of their workInformation Systems and Management: 13 works · 7.9% of their workSocial Sciences: 7 works · 4.5% of their workSociology and Political Science: 7 works · 4.5% of their workEverything else: 46 works · 27.6% of their workPhysical Sciences: 41 works · 24.7% of their workComputer Science: 41 works · 24.7% of their workInformation Systems: 35 works · 21.1% of their workArtificial Intelligence: 6 works · 3.6% of their workHealth Sciences: 8 works · 5.1% of their workMedicine: 8 works · 5.1% of their workHealth Informatics: 8 works · 5.1% of their workTHEIR WORKKayvan Kousha166works
Physical Sciences25%Health Sciences5%Social Sciences43%

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. Decision Sciences6338.1%
    2. Social Sciences74.5%
  2. Everything else4627.6%
    1. Computer Science4124.7%
    1. Medicine85.1%
  1. 1Statistics, Probability and Uncertainty30% of their works
  2. 2Information Systems21% of their works
  3. 3Information Systems and Management8% of their works
  4. 4Health Informatics5% of their works
  5. 5Sociology and Political Science4% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Kayvan Kousha's research?

The keywords of their largest research topics: Bibliometric Analysis, Research Evaluation, Hyperlink Analysis, Webometrics, Big Data, Machine Learning, Data Sharing and Meta-Analysis.

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 18 words, with their numbers
  1. Bibliometric Analysis801 topic
  2. Research Evaluation801 topic
  3. Hyperlink Analysis321 topic
  4. Webometrics321 topic
  5. Big Data262 topics
  6. Machine Learning262 topics
  7. Data Sharing201 topic
  8. Meta-Analysis201 topic
  9. PRISMA Statement201 topic
  10. Scientific Data Management201 topic
  11. Artificial Intelligence171 topic
  12. COVID-19171 topic
  13. Healthcare171 topic
  14. Preprints171 topic
  15. Computational Text Analysis91 topic
  16. Reproducibility91 topic
  17. Scientific Workflows91 topic
  18. Topic Modeling91 topic

Where does Kayvan Kousha work?

Kayvan Kousha's main affiliation in the publication record is University of Wolverhampton, United Kingdom.

How many publications and citations does Kayvan Kousha have?

OpenAlex counts 166 works and 4,698 citations for Kayvan Kousha, an h-index of 36, ranking #18,307 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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