Science Explorer Back to mapMap
Discussion
Researcher · Robert Bosch (Germany) · Germany

Lavdim Halilaj

Lavdim Halilaj publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Semantic Web and Ontologies, Advanced Graph Neural Networks and Domain Adaptation and Few-Shot Learning.

OpenAlex
World rank
#1,682,950
of 7,710,434 ranked researchers
Rank in Germany
#83,058
of 364,343
Works
79
Citations
551
Citations per work
7.0
h-index
14
i10-index 19Top 25% in Artificial Intelligence
Lavdim Halilaj

What does Lavdim Halilaj research?

Lavdim Halilaj's work is mostly in Computer Science (61%), Engineering (12%), Decision Sciences (6%).

Physical Sciences: 58 works · 73.2% of their workComputer Science: 48 works · 61.2% of their workArtificial Intelligence: 28 works · 35.0% of their workComputer Vision and Pattern Recognition: 13 works · 16.1% of their workInformation Systems: 8 works · 10.1% of their workEngineering: 9 works · 12.0% of their workIndustrial and Manufacturing Engineering: 7 works · 8.8% of their workAutomotive Engineering: 3 works · 3.2% of their workEverything else: 16 works · 20.8% of their workSocial Sciences: 5 works · 6.0% of their workDecision Sciences: 5 works · 6.0% of their workManagement Science and Operations Research: 5 works · 6.0% of their workTHEIR WORKLavdim Halilaj79works
Physical Sciences73%Social Sciences6%

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 Science4861.2%
    2. Engineering912.0%
  2. Everything else1620.8%
    1. Decision Sciences56.0%
  1. 1Artificial Intelligence35% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Information Systems10% of their works
  4. 4Industrial and Manufacturing Engineering9% of their works
  5. 5Management Science and Operations Research6% of their works
  6. 6Automotive Engineering3% of their works

Research topics

Which keywords describe Lavdim Halilaj's research?

The keywords of their largest research topics: Data Integration, Deep Learning, Representation Learning, Semi-Supervised Learning, Ontology, Semantic Web, Domain Adaptation and Graph Neural Networks.

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 20 words, with their numbers
  1. Data Integration322 topics
  2. Deep Learning293 topics
  3. Representation Learning242 topics
  4. Semi-Supervised Learning242 topics
  5. Ontology211 topic
  6. Semantic Web211 topic
  7. Domain Adaptation121 topic
  8. Graph Neural Networks121 topic
  9. Knowledge Graph Embedding121 topic
  10. Transfer Learning121 topic
  11. Data Cleaning111 topic
  12. QoS-Aware Middleware111 topic
  13. Record Linkage111 topic
  14. Semantic Web Services111 topic
  15. Image Captioning91 topic
  16. Visual Question Answering91 topic
  17. Code Clone Detection81 topic
  18. Convolutional Neural Networks81 topic
  19. Image Recognition81 topic
  20. Refactoring81 topic

Where does Lavdim Halilaj work?

Lavdim Halilaj's main affiliation in the publication record is Robert Bosch (Germany), Germany.

How many publications and citations does Lavdim Halilaj have?

OpenAlex counts 79 works and 551 citations for Lavdim Halilaj, an h-index of 14, ranking #1,682,950 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

Ask a question or share a note about Lavdim Halilaj. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.