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Researcher · Microsoft (United States) · United States

Nicole Immorlica

Nicole Immorlica publishes mostly in Management Science and Operations Research, Economics and Econometrics and Computer Networks and Communications, on topics such as Auction Theory and Applications, Game Theory and Applications and Game Theory and Voting Systems.

ORCID 0000-0003-4180-4657 OpenAlex
World rank
#72,333
of 7,710,434 ranked researchers
Rank in United States
#27,921
of 1,627,098
Works
256
Citations
8.8k
Citations per work
34.5
h-index
42
i10-index 105Top 2.2% in Management Science and Operations Research
Nicole Immorlica

What does Nicole Immorlica research?

Nicole Immorlica's work is mostly in Decision Sciences (29%), Economics, Econometrics and Finance (14%), Social Sciences (10%).

Social Sciences: 149 works · 58.3% of their workDecision Sciences: 74 works · 29.0% of their workManagement Science and Operations Research: 74 works · 29.0% of their workEconomics, Econometrics and Finance: 36 works · 13.9% of their workEconomics and Econometrics: 36 works · 13.9% of their workSocial Sciences: 25 works · 9.7% of their workSafety Research: 14 works · 5.4% of their workSociology and Political Science: 11 works · 4.3% of their workBusiness, Management and Accounting: 15 works · 5.7% of their workMarketing: 15 works · 5.7% of their workEverything else: 84 works · 32.8% of their workPhysical Sciences: 23 works · 8.9% of their workComputer Science: 23 works · 8.9% of their workComputer Networks and Communications: 23 works · 8.9% of their workTHEIR WORKNicole Immorlica256works
Physical Sciences9%Social Sciences58%

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. Decision Sciences7429.0%
    2. Economics, Econometrics and Finance3613.9%
    3. Social Sciences259.7%
    4. Business, Management and Accounting155.7%
  2. Everything else8432.8%
    1. Computer Science238.9%
  1. 1Management Science and Operations Research29% of their works
  2. 2Economics and Econometrics14% of their works
  3. 3Computer Networks and Communications9% of their works
  4. 4Marketing6% of their works
  5. 5Safety Research5% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Nicole Immorlica's research?

The keywords of their largest research topics: Mechanism Design, Incentives, Auction Theory, Procurement Contracts, Game Theory, Network Formation, Social Networks and Coalition Formation.

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 19 words, with their numbers
  1. Mechanism Design1662 topics
  2. Incentives1522 topics
  3. Auction Theory1221 topic
  4. Procurement Contracts1221 topic
  5. Game Theory1062 topics
  6. Network Formation621 topic
  7. Social Networks621 topic
  8. Coalition Formation441 topic
  9. Matching Theory441 topic
  10. Marketing Strategies401 topic
  11. Retail Economics401 topic
  12. Mobile Robots381 topic
  13. Online Algorithms381 topic
  14. Economic Experiments301 topic
  15. Social Preferences301 topic
  16. Bandit Optimization211 topic
  17. Bayesian Optimization211 topic
  18. Approximation Algorithms191 topic
  19. Combinatorial Optimization191 topic

Where does Nicole Immorlica work?

Nicole Immorlica's main affiliation in the publication record is Microsoft (United States), United States.

How many publications and citations does Nicole Immorlica have?

OpenAlex counts 256 works and 8,833 citations for Nicole Immorlica, an h-index of 42, ranking #72,333 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.

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