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Researcher · Universidade Federal do Rio de Janeiro · Brazil

Glaydston Mattos Ribeiro

Glaydston Mattos Ribeiro publishes mostly in Industrial and Manufacturing Engineering, Transportation and Building and Construction, on topics such as Vehicle Routing Optimization Methods, Urban and Freight Transport Logistics and Transportation Planning and Optimization.

ORCID 0000-0001-8452-057X OpenAlex
World rank
#477,957
of 7,710,434 ranked researchers
Rank in Brazil
#2,331
of 253,246
Works
166
Citations
2.3k
Citations per work
14.0
h-index
29
i10-index 54Top 4.8% in Industrial and Manufacturing Engineering (Engineering)
Glaydston Mattos Ribeiro

What does Glaydston Mattos Ribeiro research?

Glaydston Mattos Ribeiro's work is mostly in Engineering (41%), Social Sciences (12%), Business, Management and Accounting (6%).

Physical Sciences: 76 works · 46.0% of their workEngineering: 68 works · 40.9% of their workIndustrial and Manufacturing Engineering: 46 works · 27.8% of their workBuilding and Construction: 15 works · 9.0% of their workAutomotive Engineering: 7 works · 4.1% of their workEnvironmental Science: 8 works · 5.1% of their workIndustrial and Manufacturing Engineering: 8 works · 5.1% of their workEverything else: 60 works · 36.1% of their workSocial Sciences: 30 works · 17.9% of their workSocial Sciences: 20 works · 12.2% of their workTransportation: 20 works · 12.2% of their workBusiness, Management and Accounting: 9 works · 5.7% of their workOrganizational Behavior and Human Resource Management: 9 works · 5.7% of their workTHEIR WORKGlaydston MattosRibeiro166works
Physical Sciences46%Social Sciences18%

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. Engineering6840.9%
    2. Environmental Science85.1%
  2. Everything else6036.1%
    1. Social Sciences2012.2%
    2. Business, Management and Accounting95.7%
  1. 1Industrial and Manufacturing Engineering28% of their works
  2. 2Transportation12% of their works
  3. 3Building and Construction9% of their works
  4. 4Organizational Behavior and Human Resource Management6% of their works
  5. 5Industrial and Manufacturing Engineering5% of their works
  6. 6Automotive Engineering4% of their works

Research topics

Which keywords describe Glaydston Mattos Ribeiro's research?

The keywords of their largest research topics: Heuristic Algorithms, Tabu Search, Vehicle Routing Problem, Supply Chain Management, City Logistics, Last Mile Delivery, Public Transport and Travel Behavior.

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 18 words, with their numbers
  1. Heuristic Algorithms712 topics
  2. Tabu Search491 topic
  3. Vehicle Routing Problem491 topic
  4. Supply Chain Management482 topics
  5. City Logistics301 topic
  6. Last Mile Delivery301 topic
  7. Public Transport281 topic
  8. Travel Behavior281 topic
  9. Disaster Relief251 topic
  10. Humanitarian Logistics251 topic
  11. Active Travel231 topic
  12. Built Environment231 topic
  13. Container Terminals231 topic
  14. Operations Research231 topic
  15. Cutting221 topic
  16. Packing221 topic
  17. Order Picking171 topic
  18. Warehouse Design171 topic

Where does Glaydston Mattos Ribeiro work?

Glaydston Mattos Ribeiro's main affiliation in the publication record is Universidade Federal do Rio de Janeiro, Brazil.

How many publications and citations does Glaydston Mattos Ribeiro have?

OpenAlex counts 166 works and 2,320 citations for Glaydston Mattos Ribeiro, an h-index of 29, ranking #477,957 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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