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Researcher · Hampshire College · United States

Lee C. Spector

Lee C. Spector publishes mostly in Artificial Intelligence, Molecular Biology and Economics and Econometrics, on topics such as Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Reinforcement Learning in Robotics.

ORCID 0000-0001-5299-4797 OpenAlex
World rank
#254,055
of 7,710,434 ranked researchers
Rank in United States
#93,274
of 1,627,098
Works
297
Citations
6.2k
Citations per work
20.9
h-index
42
i10-index 114Top 1.8% in Artificial Intelligence
Lee C. Spector

What does Lee C. Spector research?

Lee C. Spector's work is mostly in Computer Science (55%), Biochemistry, Genetics and Molecular Biology (12%), Economics, Econometrics and Finance (5%).

Physical Sciences: 162 works · 54.6% of their workComputer Science: 162 works · 54.6% of their workArtificial Intelligence: 153 works · 51.5% of their workComputational Theory and Mathematics: 9 works · 3.1% of their workEverything else: 76 works · 25.6% of their workLife Sciences: 36 works · 12.0% of their workBiochemistry, Genetics and Molecular Biology: 36 works · 12.0% of their workMolecular Biology: 26 works · 8.7% of their workGenetics: 10 works · 3.3% of their workSocial Sciences: 23 works · 7.8% of their workEconomics, Econometrics and Finance: 14 works · 4.7% of their workEconomics and Econometrics: 14 works · 4.7% of their workSocial Sciences: 9 works · 3.1% of their workSociology and Political Science: 9 works · 3.1% of their workTHEIR WORKLee C. Spector297works
Life Sciences12%Physical Sciences55%Social Sciences8%

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 Science16254.6%
  2. Everything else7625.6%
    1. Biochemistry, Genetics and Molecular Biology3612.0%
    1. Economics, Econometrics and Finance144.7%
    2. Social Sciences93.1%
  1. 1Artificial Intelligence52% of their works
  2. 2Molecular Biology9% of their works
  3. 3Economics and Econometrics5% of their works
  4. 4Genetics3% of their works
  5. 5Computational Theory and Mathematics3% of their works
  6. 6Sociology and Political Science3% of their works

Research topics

Which keywords describe Lee C. Spector's research?

The keywords of their largest research topics: Evolutionary Algorithms, Genetic Programming, Machine Learning, Differential Evolution, Particle Swarm Optimization, Deep Learning, Reinforcement Learning and Mammalian Cells.

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. Evolutionary Algorithms2752 topics
  2. Genetic Programming1591 topic
  3. Machine Learning1591 topic
  4. Differential Evolution1161 topic
  5. Particle Swarm Optimization1161 topic
  6. Deep Learning401 topic
  7. Reinforcement Learning401 topic
  8. Mammalian Cells331 topic
  9. Recombinant Protein331 topic
  10. Adaptation251 topic
  11. Evolution251 topic
  12. Computational Thinking151 topic
  13. Programming Education151 topic
  14. Quantum Computation151 topic
  15. Quantum Information151 topic
  16. Altruism141 topic
  17. Cooperation141 topic

Where does Lee C. Spector work?

Lee C. Spector's main affiliation in the publication record is Hampshire College, United States.

How many publications and citations does Lee C. Spector have?

OpenAlex counts 297 works and 6,220 citations for Lee C. Spector, an h-index of 42, ranking #254,055 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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