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Researcher · Amazon (United States) · United States

Alvaro Maggiar

Alvaro Maggiar publishes mostly in Artificial Intelligence, Management Information Systems and Industrial and Manufacturing Engineering, on topics such as Reinforcement Learning in Robotics, Robotic Path Planning Algorithms and Supply Chain and Inventory Management.

ORCID 0000-0001-5545-6361 OpenAlex
World rank
#3,367,444
of 7,710,434 ranked researchers
Rank in United States
#948,558
of 1,627,098
Works
16
Citations
136
Citations per work
8.5
h-index
6
i10-index 3Top 74% in Artificial Intelligence
Alvaro Maggiar

What does Alvaro Maggiar research?

Alvaro Maggiar's work is mostly in Computer Science (29%), Engineering (10%), Business, Management and Accounting (10%).

Physical Sciences: 8 works · 47.8% of their workComputer Science: 5 works · 29.1% of their workArtificial Intelligence: 3 works · 20.8% of their workComputer Networks and Communications: 1 works · 8.3% of their workEngineering: 2 works · 10.4% of their workIndustrial and Manufacturing Engineering: 2 works · 10.4% of their workMathematics: 1 works · 8.3% of their workStatistics and Probability: 1 works · 8.3% of their workEverything else: 5 works · 33.5% of their workSocial Sciences: 3 works · 18.7% of their workBusiness, Management and Accounting: 2 works · 10.4% of their workManagement Information Systems: 2 works · 10.4% of their workDecision Sciences: 1 works · 8.3% of their workManagement Science and Operations Research: 1 works · 8.3% of their workTHEIR WORKAlvaro Maggiar16works
Physical Sciences48%Social Sciences19%

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 Science529.1%
    2. Engineering210.4%
    3. Mathematics18.3%
  2. Everything else533.5%
    1. Business, Management and Accounting210.4%
    2. Decision Sciences18.3%
  1. 1Artificial Intelligence21% of their works
  2. 2Management Information Systems10% of their works
  3. 3Industrial and Manufacturing Engineering10% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Management Science and Operations Research8% of their works
  6. 6Statistics and Probability8% of their works

Research topics

Which keywords describe Alvaro Maggiar's research?

The keywords of their largest research topics: Multi-Agent Systems, Deep Learning, Neural Networks, Path Planning, Information Sharing, Optimal Motion Planning, Reinforcement Learning and Robotics.

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 20 words, with their numbers
  1. Multi-Agent Systems62 topics
  2. Deep Learning52 topics
  3. Neural Networks52 topics
  4. Path Planning52 topics
  5. Information Sharing31 topic
  6. Optimal Motion Planning31 topic
  7. Reinforcement Learning31 topic
  8. Robotics31 topic
  9. Sampling-Based Algorithms31 topic
  10. Supply Chain Coordination31 topic
  11. Adaptive Control21 topic
  12. Control21 topic
  13. Crowdsourcing21 topic
  14. Gaussian Processes21 topic
  15. Machine Learning21 topic
  16. Mechanical Turk21 topic
  17. Missile Guidance21 topic
  18. Network Virtualization21 topic
  19. Software-Defined Networking21 topic
  20. Trajectory Tracking21 topic

Where does Alvaro Maggiar work?

Alvaro Maggiar's main affiliation in the publication record is Amazon (United States), United States.

How many publications and citations does Alvaro Maggiar have?

OpenAlex counts 16 works and 136 citations for Alvaro Maggiar, an h-index of 6, ranking #3,367,444 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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