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Researcher · University of Groningen · Netherlands

Iris F.A. Vis

Iris F.A. Vis publishes mostly in Industrial and Manufacturing Engineering, Building and Construction and Management Information Systems, on topics such as Advanced Manufacturing and Logistics Optimization, Optimization and Packing Problems and Maritime Ports and Logistics.

OpenAlex
World rank
#104,299
of 7,710,434 ranked researchers
Rank in Netherlands
#2,470
of 107,149
Works
95
Citations
5.8k
Citations per work
61.3
h-index
32
i10-index 46Top 3.7% in Industrial and Manufacturing Engineering (Engineering)
Iris F.A. Vis

What does Iris F.A. Vis research?

Iris F.A. Vis's work is mostly in Engineering (66%), Business, Management and Accounting (7%), Computer Science (3%).

Physical Sciences: 65 works · 68.8% of their workEngineering: 63 works · 66.0% of their workIndustrial and Manufacturing Engineering: 48 works · 50.2% of their workBuilding and Construction: 8 works · 8.1% of their workElectrical and Electronic Engineering: 5 works · 5.3% of their workAutomotive Engineering: 2 works · 2.4% of their workComputer Science: 3 works · 2.8% of their workComputer Networks and Communications: 3 works · 2.8% of their workEverything else: 23 works · 23.9% of their workSocial Sciences: 7 works · 7.3% of their workBusiness, Management and Accounting: 7 works · 7.3% of their workManagement Information Systems: 7 works · 7.3% of their workTHEIR WORKIris F.A. Vis95works
Physical Sciences69%Social Sciences7%

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. Engineering6366.0%
    2. Computer Science32.8%
  2. Everything else2323.9%
    1. Business, Management and Accounting77.3%
  1. 1Industrial and Manufacturing Engineering50% of their works
  2. 2Building and Construction8% of their works
  3. 3Management Information Systems7% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Computer Networks and Communications3% of their works
  6. 6Automotive Engineering2% of their works

Research topics

Which keywords describe Iris F.A. Vis's research?

The keywords of their largest research topics: Heuristic Algorithms, Order Picking, Warehouse Design, Genetic Algorithm, Supply Chain Management, Cutting, Packing and Container Terminals.

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 19 words, with their numbers
  1. Heuristic Algorithms442 topics
  2. Order Picking431 topic
  3. Warehouse Design431 topic
  4. Genetic Algorithm302 topics
  5. Supply Chain Management282 topics
  6. Cutting231 topic
  7. Packing231 topic
  8. Container Terminals221 topic
  9. Operations Research221 topic
  10. Tabu Search211 topic
  11. Vehicle Routing Problem211 topic
  12. City Logistics151 topic
  13. Last Mile Delivery151 topic
  14. Information Sharing81 topic
  15. Supply Chain Coordination81 topic
  16. Manufacturing71 topic
  17. Scheduling71 topic
  18. Disaster Relief61 topic
  19. Humanitarian Logistics61 topic

Where does Iris F.A. Vis work?

Iris F.A. Vis's main affiliation in the publication record is University of Groningen, Netherlands.

How many publications and citations does Iris F.A. Vis have?

OpenAlex counts 95 works and 5,819 citations for Iris F.A. Vis, an h-index of 32, ranking #104,299 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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