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Researcher · Public Library of Science · United States

Emma Ganley

Emma Ganley publishes mostly in Information Systems, Information Systems and Management and Molecular Biology, on topics such as Research Data Management Practices, Scientific Computing and Data Management and Meta-analysis and systematic reviews.

ORCID 0000-0002-2557-6204 OpenAlex
World rank
#3,744,456
of 7,710,434 ranked researchers
Rank in United States
#1,034,683
of 1,627,098
Works
38
Citations
388
Citations per work
10.2
h-index
8
i10-index 7Top 30% in Information Systems
Emma Ganley

What does Emma Ganley research?

Emma Ganley's work is mostly in Decision Sciences (24%), Computer Science (18%), Biochemistry, Genetics and Molecular Biology (15%).

Everything else: 14 works · 36.5% of their workSocial Sciences: 12 works · 30.6% of their workDecision Sciences: 9 works · 23.5% of their workInformation Systems and Management: 5 works · 14.1% of their workStatistics, Probability and Uncertainty: 4 works · 9.4% of their workEconomics, Econometrics and Finance: 3 works · 7.1% of their workEconomics and Econometrics: 3 works · 7.1% of their workPhysical Sciences: 7 works · 17.6% of their workComputer Science: 7 works · 17.6% of their workInformation Systems: 7 works · 17.6% of their workLife Sciences: 6 works · 15.3% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 15.3% of their workMolecular Biology: 4 works · 9.4% of their workBiophysics: 2 works · 5.9% of their workTHEIR WORKEmma Ganley38works
Life Sciences15%Physical Sciences18%Social Sciences31%

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 else1436.5%
    1. Decision Sciences923.5%
    2. Economics, Econometrics and Finance37.1%
    1. Computer Science717.6%
    1. Biochemistry, Genetics and Molecular Biology615.3%
  1. 1Information Systems18% of their works
  2. 2Information Systems and Management14% of their works
  3. 3Molecular Biology9% of their works
  4. 4Statistics, Probability and Uncertainty9% of their works
  5. 5Economics and Econometrics7% of their works
  6. 6Biophysics6% of their works

Research topics

Which keywords describe Emma Ganley's research?

The keywords of their largest research topics: Data Sharing, Scientific Data Management, Reproducibility, Scientific Workflows, Data Integration, Meta-Analysis, PRISMA Statement and Bioimage 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 17 words, with their numbers
  1. Data Sharing111 topic
  2. Scientific Data Management111 topic
  3. Reproducibility91 topic
  4. Scientific Workflows91 topic
  5. Data Integration82 topics
  6. Meta-Analysis71 topic
  7. PRISMA Statement71 topic
  8. Bioimage Analysis51 topic
  9. Financial Analysis51 topic
  10. High-Content Screening51 topic
  11. Monetary Policy51 topic
  12. Biomedical Ontologies41 topic
  13. Data Cleaning41 topic
  14. Math Search41 topic
  15. Mathematical Information Retrieval41 topic
  16. Record Linkage41 topic
  17. Text Mining41 topic

Where does Emma Ganley work?

Emma Ganley's main affiliation in the publication record is Public Library of Science, United States.

How many publications and citations does Emma Ganley have?

OpenAlex counts 38 works and 388 citations for Emma Ganley, an h-index of 8, ranking #3,744,456 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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