Science Explorer Back to mapMap
Discussion
Researcher · University of Electro-Communications · Japan

Keiki Takadama

Keiki Takadama publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Aerospace Engineering, on topics such as Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Advanced Multi-Objective Optimization Algorithms.

ORCID 0009-0007-0916-5505 OpenAlex
World rank
#7,605,715
of 7,710,434 ranked researchers
Rank in Japan
#370,577
of 383,136
Works
610
Citations
1.4k
Citations per work
2.4
h-index
15
i10-index 41Top 22% in Artificial Intelligence
Keiki Takadama

What does Keiki Takadama research?

Keiki Takadama's work is mostly in Computer Science (46%), Engineering (4%), Decision Sciences (3%).

Physical Sciences: 305 works · 50.0% of their workComputer Science: 281 works · 46.0% of their workArtificial Intelligence: 228 works · 37.3% of their workComputational Theory and Mathematics: 32 works · 5.3% of their workComputer Networks and Communications: 21 works · 3.4% of their workEngineering: 24 works · 4.0% of their workAerospace Engineering: 24 works · 4.0% of their workEverything else: 268 works · 43.9% of their workSocial Sciences: 37 works · 6.1% of their workDecision Sciences: 21 works · 3.4% of their workManagement Science and Operations Research: 21 works · 3.4% of their workSocial Sciences: 16 works · 2.7% of their workSociology and Political Science: 16 works · 2.7% of their workTHEIR WORKKeiki Takadama610works
Physical Sciences50%Social Sciences6%

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 Science28146.0%
    2. Engineering244.0%
  2. Everything else26843.9%
    1. Decision Sciences213.4%
    2. Social Sciences162.7%
  1. 1Artificial Intelligence37% of their works
  2. 2Computational Theory and Mathematics5% of their works
  3. 3Aerospace Engineering4% of their works
  4. 4Computer Networks and Communications3% of their works
  5. 5Management Science and Operations Research3% of their works
  6. 6Sociology and Political Science3% of their works

Research topics

Which keywords describe Keiki Takadama's research?

The keywords of their largest research topics: Evolutionary Algorithms, Multiobjective Optimization, Particle Swarm Optimization, Genetic Programming, Machine Learning, Ant Colony Optimization, Differential Evolution and Deep Learning.

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 22 words, with their numbers
  1. Evolutionary Algorithms4353 topics
  2. Multiobjective Optimization2742 topics
  3. Particle Swarm Optimization2332 topics
  4. Genetic Programming2021 topic
  5. Machine Learning2021 topic
  6. Ant Colony Optimization1611 topic
  7. Differential Evolution1611 topic
  8. Deep Learning1002 topics
  9. Neural Networks1002 topics
  10. Genetic Algorithm721 topic
  11. Surrogate Modeling721 topic
  12. Reinforcement Learning641 topic
  13. Robotics641 topic
  14. Agent-Based Modeling622 topics
  15. Argumentation Frameworks361 topic
  16. Backpropagation Learning361 topic
  17. Self-Organizing Maps361 topic
  18. Software Engineering361 topic
  19. Mammalian Cells341 topic
  20. Recombinant Protein341 topic
  21. Opinion Dynamics261 topic
  22. Social Influence261 topic

Where does Keiki Takadama work?

Keiki Takadama's main affiliation in the publication record is University of Electro-Communications, Japan.

How many publications and citations does Keiki Takadama have?

OpenAlex counts 610 works and 1,450 citations for Keiki Takadama, an h-index of 15, ranking #7,605,715 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

Ask a question or share a note about Keiki Takadama. Posts are plain text and can be reported.