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Researcher · GESIS - Leibniz Institute for the Social Sciences · Germany

Lukas Birkenmaier

Lukas Birkenmaier publishes mostly in Political Science and International Relations, General Social Sciences and Artificial Intelligence, on topics such as Computational and Text Analysis Methods, Electoral Systems and Political Participation and Populism, Right-Wing Movements.

ORCID 0009-0006-1538-0589 OpenAlex
World rank
#2,378,812
of 7,710,434 ranked researchers
Rank in Germany
#117,545
of 364,343
Works
21
Citations
58
Citations per work
2.8
h-index
4
i10-index 2Top 58% in Political Science and International Relations
Lukas Birkenmaier

What does Lukas Birkenmaier research?

Lukas Birkenmaier's work is mostly in Social Sciences (56%), Computer Science (17%), Decision Sciences (10%).

Social Sciences: 15 works · 70.8% of their workSocial Sciences: 12 works · 56.1% of their workPolitical Science and International Relations: 6 works · 26.8% of their workGeneral Social Sciences: 4 works · 19.5% of their workSociology and Political Science: 2 works · 9.8% of their workDecision Sciences: 2 works · 9.8% of their workManagement Science and Operations Research: 2 works · 9.8% of their workPsychology: 1 works · 4.9% of their workClinical Psychology: 1 works · 4.9% of their workPhysical Sciences: 4 works · 17.1% of their workComputer Science: 4 works · 17.1% of their workArtificial Intelligence: 4 works · 17.1% of their workEverything else: 3 works · 12.1% of their workTHEIR WORKLukas Birkenmaier21works
Physical Sciences17%Social Sciences71%

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. Social Sciences1256.1%
    2. Decision Sciences29.8%
    3. Psychology14.9%
    1. Computer Science417.1%
  3. Everything else312.1%
  1. 1Political Science and International Relations27% of their works
  2. 2General Social Sciences20% of their works
  3. 3Artificial Intelligence17% of their works
  4. 4Management Science and Operations Research10% of their works
  5. 5Sociology and Political Science10% of their works
  6. 6Clinical Psychology5% of their works

Research topics

Which keywords describe Lukas Birkenmaier's research?

The keywords of their largest research topics: Big Data, Topic Modeling, Machine Learning, Computational Text Analysis, Social Science Research, Public Opinion, Globalization and Empirical 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.

All 21 words, with their numbers
  1. Big Data133 topics
  2. Topic Modeling112 topics
  3. Machine Learning102 topics
  4. Computational Text Analysis81 topic
  5. Social Science Research81 topic
  6. Public Opinion72 topics
  7. Globalization62 topics
  8. Empirical Analysis51 topic
  9. Political Science51 topic
  10. Populism41 topic
  11. Right-Wing41 topic
  12. Data Cleaning31 topic
  13. Neural Networks31 topic
  14. Record Linkage31 topic
  15. Word Representation31 topic
  16. Big Five21 topic
  17. Personality Traits21 topic
  18. Political Economy21 topic
  19. R language21 topic
  20. Statistical Analysis21 topic
  21. Welfare State21 topic

Where does Lukas Birkenmaier work?

Lukas Birkenmaier's main affiliation in the publication record is GESIS - Leibniz Institute for the Social Sciences, Germany.

How many publications and citations does Lukas Birkenmaier have?

OpenAlex counts 21 works and 58 citations for Lukas Birkenmaier, an h-index of 4, ranking #2,378,812 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.

Discussion

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