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Researcher · University of Luxembourg · Luxembourg

Pascal Bouvry

Pascal Bouvry publishes mostly in Computer Networks and Communications, Artificial Intelligence and Information Systems, on topics such as Cloud Computing and Resource Management, Distributed and Parallel Computing Systems and Metaheuristic Optimization Algorithms Research.

ORCID 0000-0001-9338-2834 OpenAlex
World rank
#393,738
of 7,710,434 ranked researchers
Rank in Luxembourg
#134
of 2,656
Works
690
Citations
10k
Citations per work
15.1
h-index
48
i10-index 207Top 1.2% in Computer Networks and Communications
Pascal Bouvry

What does Pascal Bouvry research?

Pascal Bouvry's work is mostly in Computer Science (63%), Engineering (5%).

Physical Sciences: 469 works · 68.0% of their workComputer Science: 435 works · 63.1% of their workComputer Networks and Communications: 215 works · 31.1% of their workArtificial Intelligence: 95 works · 13.7% of their workInformation Systems: 66 works · 9.6% of their workComputational Theory and Mathematics: 34 works · 4.9% of their workHardware and Architecture: 26 works · 3.8% of their workEngineering: 34 works · 4.9% of their workElectrical and Electronic Engineering: 34 works · 4.9% of their workEverything else: 221 works · 32.0% of their workTHEIR WORKPascal Bouvry690works
Physical Sciences68%

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 Science43563.1%
    2. Engineering344.9%
  2. Everything else22132.0%
  1. 1Computer Networks and Communications31% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Information Systems10% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Computational Theory and Mathematics5% of their works
  6. 6Hardware and Architecture4% of their works

Research topics

Which keywords describe Pascal Bouvry's research?

The keywords of their largest research topics: Distributed Systems, Resource Management, High-Performance Computing, Big Data, Cloud Computing, Mobile Ad Hoc Networks, Mobility Models and Evolutionary Algorithms.

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 22 words, with their numbers
  1. Distributed Systems2612 topics
  2. Resource Management2612 topics
  3. High-Performance Computing1832 topics
  4. Big Data1401 topic
  5. Cloud Computing1401 topic
  6. Mobile Ad Hoc Networks1282 topics
  7. Mobility Models1282 topics
  8. Evolutionary Algorithms1242 topics
  9. Grid Computing1211 topic
  10. Task Scheduling1211 topic
  11. Differential Evolution721 topic
  12. Particle Swarm Optimization721 topic
  13. Ad Hoc Networks661 topic
  14. Wireless Mesh Networks661 topic
  15. Delay-Tolerant Networks621 topic
  16. Opportunistic Routing621 topic
  17. Parallel Computing621 topic
  18. Performance Optimization621 topic
  19. Genetic Programming521 topic
  20. Machine Learning521 topic
  21. Edge Computing451 topic
  22. Internet of Things451 topic

Where does Pascal Bouvry work?

Pascal Bouvry's main affiliation in the publication record is University of Luxembourg, Luxembourg.

How many publications and citations does Pascal Bouvry have?

OpenAlex counts 690 works and 10,447 citations for Pascal Bouvry, an h-index of 48, ranking #393,738 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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