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Researcher · University of Luxembourg · Luxembourg

Navid Khaledian

Navid Khaledian publishes mostly in Information Systems, Computer Networks and Communications and Artificial Intelligence, on topics such as IoT and Edge/Fog Computing, Cloud Computing and Resource Management and Blockchain Technology Applications and Security.

ORCID 0000-0003-3018-2821 OpenAlex
World rank
#398,350
of 7,710,434 ranked researchers
Rank in Luxembourg
#137
of 2,656
Works
21
Citations
423
Citations per work
20.1
h-index
13
i10-index 14Top 12% in Information Systems
Navid Khaledian

What does Navid Khaledian research?

Navid Khaledian's work is mostly in Computer Science (68%), Engineering (13%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 17 works · 80.9% of their workComputer Science: 14 works · 68.3% of their workInformation Systems: 6 works · 30.2% of their workComputer Networks and Communications: 5 works · 25.4% of their workArtificial Intelligence: 3 works · 12.7% of their workEngineering: 3 works · 12.6% of their workElectrical and Electronic Engineering: 1 works · 6.3% of their workIndustrial and Manufacturing Engineering: 1 works · 6.3% of their workEverything else: 4 works · 17.5% of their workLife Sciences: 0 works · 1.6% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 1.6% of their workMolecular Biology: 0 works · 1.6% of their workTHEIR WORKNavid Khaledian21works
Life Sciences2%Physical Sciences81%

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 Science1468.3%
    2. Engineering312.6%
  2. Everything else417.5%
    1. Biochemistry, Genetics and Molecular Biology01.6%
  1. 1Information Systems30% of their works
  2. 2Computer Networks and Communications25% of their works
  3. 3Artificial Intelligence13% of their works
  4. 4Industrial and Manufacturing Engineering6% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Navid Khaledian's research?

The keywords of their largest research topics: Deep Learning, Healthcare, Internet of Things, 5G Networks, Distributed Systems, Resource Management, Edge Computing and Fog Computing.

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. Deep Learning153 topics
  2. Healthcare142 topics
  3. Internet of Things142 topics
  4. 5G Networks122 topics
  5. Distributed Systems112 topics
  6. Resource Management112 topics
  7. Edge Computing101 topic
  8. Fog Computing101 topic
  9. Big Data91 topic
  10. Cloud Computing91 topic
  11. Blockchain41 topic
  12. Smart Contracts41 topic
  13. Collaborative Filtering31 topic
  14. Matrix Factorization31 topic
  15. Data Mining21 topic
  16. Frequent Patterns21 topic
  17. Graph Neural Networks21 topic
  18. Grid Computing21 topic
  19. IoT21 topic
  20. Knowledge Graph Embedding21 topic
  21. LPWAN21 topic
  22. Task Scheduling21 topic

Where does Navid Khaledian work?

Navid Khaledian's main affiliation in the publication record is University of Luxembourg, Luxembourg.

How many publications and citations does Navid Khaledian have?

OpenAlex counts 21 works and 423 citations for Navid Khaledian, an h-index of 13, ranking #398,350 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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