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Researcher · Universities at Shady Grove · United States

Amy Trost

Amy Trost publishes mostly in Information Systems, Statistics, Probability and Uncertainty and Artificial Intelligence, on topics such as Research Data Management Practices, scientometrics and bibliometrics research and Genetics, Bioinformatics, and Biomedical Research.

ORCID 0000-0003-2233-8400 OpenAlex
World rank
#4,978,820
of 7,710,434 ranked researchers
Rank in United States
#1,293,611
of 1,627,098
Works
45
Citations
10
Citations per work
0.2
h-index
1
i10-index 0Top 99% in Information Systems
Amy Trost

What does Amy Trost research?

Amy Trost's work is mostly in Computer Science (28%), Decision Sciences (21%), Arts and Humanities (7%).

Everything else: 16 works · 35.9% of their workSocial Sciences: 16 works · 35.6% of their workDecision Sciences: 10 works · 21.4% of their workStatistics, Probability and Uncertainty: 6 works · 14.3% of their workInformation Systems and Management: 3 works · 7.1% of their workArts and Humanities: 3 works · 7.1% of their workHistory and Philosophy of Science: 3 works · 7.1% of their workBusiness, Management and Accounting: 3 works · 7.1% of their workManagement Information Systems: 3 works · 7.1% of their workPhysical Sciences: 13 works · 28.5% of their workComputer Science: 13 works · 28.5% of their workInformation Systems: 10 works · 21.4% of their workArtificial Intelligence: 3 works · 7.1% of their workTHEIR WORKAmy Trost45works
Physical Sciences28%Social Sciences36%

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 else1635.9%
    1. Decision Sciences1021.4%
    2. Arts and Humanities37.1%
    3. Business, Management and Accounting37.1%
    1. Computer Science1328.5%
  1. 1Information Systems21% of their works
  2. 2Statistics, Probability and Uncertainty14% of their works
  3. 3Artificial Intelligence7% of their works
  4. 4History and Philosophy of Science7% of their works
  5. 5Information Systems and Management7% of their works
  6. 6Management Information Systems7% of their works

Research topics

Which keywords describe Amy Trost's research?

The keywords of their largest research topics: Bibliometric Analysis, Big Data, Data Sharing, Research Evaluation, Scientific Data Management, Bioinformatics, Education and Evidence-Based Practice.

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. Bibliometric Analysis21 topic
  2. Big Data22 topics
  3. Data Sharing21 topic
  4. Research Evaluation21 topic
  5. Scientific Data Management21 topic
  6. Bioinformatics11 topic
  7. Education11 topic
  8. Evidence-Based Practice11 topic
  9. Healthcare Professionals11 topic
  10. Hyperlink Analysis11 topic
  11. Information Visualization11 topic
  12. Ontology11 topic
  13. Publication11 topic
  14. Scientific Writing11 topic
  15. Semantic Web11 topic
  16. Visual Analytics11 topic
  17. Webometrics11 topic

Where does Amy Trost work?

Amy Trost's main affiliation in the publication record is Universities at Shady Grove, United States.

How many publications and citations does Amy Trost have?

OpenAlex counts 45 works and 10 citations for Amy Trost, an h-index of 1, ranking #4,978,820 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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