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Researcher · Decision Research · United States

Olivier Spanjaard

Olivier Spanjaard publishes mostly in Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics, on topics such as Multi-Criteria Decision Making, Bayesian Modeling and Causal Inference and Game Theory and Voting Systems.

ORCID 0000-0002-9948-090X OpenAlex
World rank
#4,862,395
of 7,710,434 ranked researchers
Rank in United States
#1,270,310
of 1,627,098
Works
112
Citations
823
Citations per work
7.3
h-index
16
i10-index 24Top 22% in Management Science and Operations Research
Olivier Spanjaard

What does Olivier Spanjaard research?

Olivier Spanjaard's work is mostly in Computer Science (27%), Decision Sciences (22%), Economics, Econometrics and Finance (10%).

Physical Sciences: 42 works · 37.3% of their workComputer Science: 30 works · 27.1% of their workArtificial Intelligence: 17 works · 14.9% of their workComputational Theory and Mathematics: 14 works · 12.2% of their workEngineering: 11 works · 10.2% of their workControl and Systems Engineering: 6 works · 5.1% of their workIndustrial and Manufacturing Engineering: 6 works · 5.1% of their workSocial Sciences: 36 works · 32.5% of their workDecision Sciences: 25 works · 22.0% of their workManagement Science and Operations Research: 25 works · 22.0% of their workEconomics, Econometrics and Finance: 12 works · 10.5% of their workEconomics and Econometrics: 12 works · 10.5% of their workEverything else: 34 works · 30.2% of their workTHEIR WORKOlivier Spanjaard112works
Physical Sciences37%Social Sciences32%

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. Computer Science3027.1%
    2. Engineering1110.2%
    1. Decision Sciences2522.0%
    2. Economics, Econometrics and Finance1210.5%
  3. Everything else3430.2%
  1. 1Management Science and Operations Research22% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Computational Theory and Mathematics12% of their works
  4. 4Economics and Econometrics10% of their works
  5. 5Industrial and Manufacturing Engineering5% of their works
  6. 6Control and Systems Engineering5% of their works

Research topics

Which keywords describe Olivier Spanjaard's research?

The keywords of their largest research topics: Mechanism Design, Analytic Hierarchy Process, TOPSIS, Bayesian Networks, Causal Inference, Coalition Formation, Matching Theory and Auction Theory.

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 17 words, with their numbers
  1. Mechanism Design352 topics
  2. Analytic Hierarchy Process321 topic
  3. TOPSIS321 topic
  4. Bayesian Networks291 topic
  5. Causal Inference291 topic
  6. Coalition Formation231 topic
  7. Matching Theory231 topic
  8. Auction Theory121 topic
  9. Procurement Contracts121 topic
  10. Aggregate Production Planning111 topic
  11. Decision Making111 topic
  12. Fuzzy Goal Programming111 topic
  13. Graph Theory111 topic
  14. Parameterized Complexity111 topic
  15. Risk Aversion111 topic
  16. Risk Management111 topic
  17. Robust Optimization111 topic

Where does Olivier Spanjaard work?

Olivier Spanjaard's main affiliation in the publication record is Decision Research, United States.

How many publications and citations does Olivier Spanjaard have?

OpenAlex counts 112 works and 823 citations for Olivier Spanjaard, an h-index of 16, ranking #4,862,395 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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