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Researcher · Universidade Estadual do Paraná · Brazil

Marcia de Fátima Morais

Marcia de Fátima Morais publishes mostly in Industrial and Manufacturing Engineering, Information Systems and Management and Management Science and Operations Research, on topics such as Business and Management Studies, Scheduling and Optimization Algorithms and Operations Management Techniques.

ORCID 0009-0007-2278-5565 OpenAlex
World rank
#4,599,985
of 7,710,434 ranked researchers
Rank in Brazil
#78,164
of 253,246
Works
25
Citations
162
Citations per work
6.5
h-index
5
i10-index 3Top 79% in Industrial and Manufacturing Engineering (Engineering)
Marcia de Fátima Morais

What does Marcia de Fátima Morais research?

Marcia de Fátima Morais's work is mostly in Engineering (26%), Decision Sciences (26%), Social Sciences (11%).

Social Sciences: 9 works · 37.0% of their workDecision Sciences: 7 works · 26.2% of their workInformation Systems and Management: 4 works · 15.4% of their workManagement Science and Operations Research: 3 works · 10.8% of their workSocial Sciences: 3 works · 10.8% of their workEducation: 3 works · 10.8% of their workPhysical Sciences: 8 works · 33.9% of their workEngineering: 7 works · 26.2% of their workIndustrial and Manufacturing Engineering: 7 works · 26.2% of their workComputer Science: 2 works · 7.7% of their workArtificial Intelligence: 2 works · 7.7% of their workEverything else: 6 works · 24.5% of their workLife Sciences: 1 works · 4.6% of their workAgricultural and Biological Sciences: 1 works · 4.6% of their workForestry: 1 works · 4.6% of their workTHEIR WORKMarcia de FátimaMorais25works
Life Sciences5%Physical Sciences34%Social Sciences37%

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 Sciences726.2%
    2. Social Sciences310.8%
    1. Engineering726.2%
    2. Computer Science27.7%
  3. Everything else624.5%
    1. Agricultural and Biological Sciences14.6%
  1. 1Industrial and Manufacturing Engineering26% of their works
  2. 2Information Systems and Management15% of their works
  3. 3Management Science and Operations Research11% of their works
  4. 4Education11% of their works
  5. 5Artificial Intelligence8% of their works
  6. 6Forestry5% of their works

Research topics

Which keywords describe Marcia de Fátima Morais's research?

The keywords of their largest research topics: Organizational Management, Research Methods, Ant Colony Optimization, Manufacturing, Operations Management, Scheduling, Theory of Constraints and Order Picking.

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 17 words, with their numbers
  1. Organizational Management101 topic
  2. Research Methods101 topic
  3. Ant Colony Optimization72 topics
  4. Manufacturing61 topic
  5. Operations Management61 topic
  6. Scheduling61 topic
  7. Theory of Constraints61 topic
  8. Order Picking51 topic
  9. Warehouse Design51 topic
  10. Assembly Line Balancing41 topic
  11. Distance Education41 topic
  12. Optimization Methods41 topic
  13. Training41 topic
  14. Differential Evolution31 topic
  15. Forest Biomass31 topic
  16. Particle Swarm Optimization31 topic
  17. Wood Residues31 topic

Where does Marcia de Fátima Morais work?

Marcia de Fátima Morais's main affiliation in the publication record is Universidade Estadual do Paraná, Brazil.

How many publications and citations does Marcia de Fátima Morais have?

OpenAlex counts 25 works and 162 citations for Marcia de Fátima Morais, an h-index of 5, ranking #4,599,985 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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