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Researcher · Kozminski University · Poland

Aleksandra Przegalińska

Aleksandra Przegalińska publishes mostly in Artificial Intelligence, Sociology and Political Science and Safety Research, on topics such as Ethics and Social Impacts of AI, AI in Service Interactions and Artificial Intelligence in Healthcare and Education.

ORCID 0000-0003-0864-8007 OpenAlex
World rank
#391,333
of 7,710,434 ranked researchers
Rank in Poland
#2,413
of 100,960
Works
88
Citations
2k
Citations per work
23.3
h-index
15
i10-index 21Top 22% in Artificial Intelligence
Aleksandra Przegalińska

What does Aleksandra Przegalińska research?

Aleksandra Przegalińska's work is mostly in Social Sciences (20%), Computer Science (16%), Neuroscience (4%).

Everything else: 45 works · 50.9% of their workSocial Sciences: 26 works · 29.1% of their workSocial Sciences: 18 works · 20.5% of their workSociology and Political Science: 10 works · 11.9% of their workSafety Research: 8 works · 8.6% of their workBusiness, Management and Accounting: 4 works · 4.3% of their workManagement Information Systems: 4 works · 4.3% of their workEconomics, Econometrics and Finance: 4 works · 4.3% of their workEconomics and Econometrics: 4 works · 4.3% of their workPhysical Sciences: 14 works · 15.7% of their workComputer Science: 14 works · 15.7% of their workArtificial Intelligence: 14 works · 15.7% of their workLife Sciences: 4 works · 4.3% of their workNeuroscience: 4 works · 4.3% of their workCognitive Neuroscience: 4 works · 4.3% of their workTHEIR WORKAleksandraPrzegalińska88works
Life Sciences4%Physical Sciences16%Social Sciences29%

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 else4550.9%
    1. Social Sciences1820.5%
    2. Business, Management and Accounting44.3%
    3. Economics, Econometrics and Finance44.3%
    1. Computer Science1415.7%
    1. Neuroscience44.3%
  1. 1Artificial Intelligence16% of their works
  2. 2Sociology and Political Science12% of their works
  3. 3Safety Research9% of their works
  4. 4Management Information Systems4% of their works
  5. 5Cognitive Neuroscience4% of their works
  6. 6Economics and Econometrics4% of their works

Research topics

Which keywords describe Aleksandra Przegalińska's research?

The keywords of their largest research topics: Artificial Intelligence, Big Data, Machine Learning, Ethics, Fairness, Chatbots, Service Robots and Gender Inequality.

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 22 words, with their numbers
  1. Artificial Intelligence393 topics
  2. Big Data344 topics
  3. Machine Learning242 topics
  4. Ethics161 topic
  5. Fairness161 topic
  6. Chatbots151 topic
  7. Service Robots151 topic
  8. Gender Inequality122 topics
  9. Supply Chain Management102 topics
  10. Sustainability102 topics
  11. Healthcare81 topic
  12. Medical Imaging81 topic
  13. Income Inequality71 topic
  14. Poverty Measurement71 topic
  15. Analytics61 topic
  16. Business Intelligence61 topic
  17. Digital Labor Platforms61 topic
  18. Gig Economy61 topic
  19. Labor Force Participation51 topic
  20. Welfare Reform51 topic
  21. Digital Twin41 topic
  22. Smart Manufacturing41 topic

Where does Aleksandra Przegalińska work?

Aleksandra Przegalińska's main affiliation in the publication record is Kozminski University, Poland.

How many publications and citations does Aleksandra Przegalińska have?

OpenAlex counts 88 works and 2,050 citations for Aleksandra Przegalińska, an h-index of 15, ranking #391,333 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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