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Researcher · Friedrich-Alexander-Universität Erlangen-Nürnberg · Germany

Christian Gülden

Christian Gülden publishes mostly in Health Information Management, Artificial Intelligence and Public Health, Environmental and Occupational Health, on topics such as Electronic Health Records Systems, Biomedical Text Mining and Ontologies and Scientific Computing and Data Management.

ORCID 0000-0003-1261-3691 OpenAlex
World rank
#1,743,531
of 7,710,434 ranked researchers
Rank in Germany
#86,067
of 364,343
Works
41
Citations
448
Citations per work
10.9
h-index
10
i10-index 10Top 31% in Health Information Management
Christian Gülden

What does Christian Gülden research?

Christian Gülden's work is mostly in Health Professions (18%), Computer Science (15%), Decision Sciences (14%).

Everything else: 14 works · 34.8% of their workHealth Sciences: 12 works · 28.4% of their workHealth Professions: 8 works · 18.3% of their workHealth Information Management: 8 works · 18.3% of their workMedicine: 4 works · 10.1% of their workPublic Health, Environmental and Occupational Health: 4 works · 10.1% of their workPhysical Sciences: 6 works · 14.7% of their workComputer Science: 6 works · 14.7% of their workArtificial Intelligence: 6 works · 14.7% of their workSocial Sciences: 6 works · 13.8% of their workDecision Sciences: 6 works · 13.8% of their workInformation Systems and Management: 3 works · 8.3% of their workManagement Science and Operations Research: 2 works · 5.5% of their workLife Sciences: 3 works · 8.3% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 8.3% of their workMolecular Biology: 3 works · 8.3% of their workTHEIR WORKChristian Gülden41works
Life Sciences8%Physical Sciences15%Health Sciences28%Social Sciences14%

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 else1434.8%
    1. Health Professions818.3%
    2. Medicine410.1%
    1. Computer Science614.7%
    1. Decision Sciences613.8%
    1. Biochemistry, Genetics and Molecular Biology38.3%
  1. 1Health Information Management18% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Public Health, Environmental and Occupational Health10% of their works
  4. 4Molecular Biology8% of their works
  5. 5Information Systems and Management8% of their works
  6. 6Management Science and Operations Research6% of their works

Research topics

Which keywords describe Christian Gülden's research?

The keywords of their largest research topics: Electronic Health Records, Clinical Decision Support Systems, Health Information Exchange, Data Integration, Biomedical Ontologies, Reproducibility, Scientific Workflows and Text Mining.

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.

All 18 words, with their numbers
  1. Electronic Health Records272 topics
  2. Clinical Decision Support Systems201 topic
  3. Health Information Exchange201 topic
  4. Data Integration152 topics
  5. Biomedical Ontologies91 topic
  6. Reproducibility91 topic
  7. Scientific Workflows91 topic
  8. Text Mining91 topic
  9. Deep Learning71 topic
  10. Healthcare71 topic
  11. Clinical Trials61 topic
  12. Data Cleaning61 topic
  13. Informed Consent61 topic
  14. Record Linkage61 topic
  15. Data Sharing41 topic
  16. Mobile Health41 topic
  17. Scientific Data Management41 topic
  18. mHealth41 topic

Where does Christian Gülden work?

Christian Gülden's main affiliation in the publication record is Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.

How many publications and citations does Christian Gülden have?

OpenAlex counts 41 works and 448 citations for Christian Gülden, an h-index of 10, ranking #1,743,531 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

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