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Researcher · John von Neumann University · Hungary

Zoltán Subecz

Zoltán Subecz publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Natural Language Processing Techniques, Topic Modeling and Speech and dialogue systems.

ORCID 0000-0001-5036-4679 OpenAlex
World rank
#5,401,160
of 7,710,434 ranked researchers
Rank in Hungary
#13,843
of 25,218
Works
15
Citations
44
Citations per work
2.9
h-index
3
i10-index 1Top 95% in Artificial Intelligence
Zoltán Subecz

What does Zoltán Subecz research?

Zoltán Subecz's work is mostly in Computer Science (81%), Social Sciences (8%), Decision Sciences (3%).

Physical Sciences: 12 works · 81.1% of their workComputer Science: 12 works · 81.1% of their workArtificial Intelligence: 10 works · 64.9% of their workComputer Networks and Communications: 1 works · 8.1% of their workInformation Systems: 1 works · 8.1% of their workSocial Sciences: 2 works · 10.8% of their workSocial Sciences: 1 works · 8.1% of their workDevelopment: 1 works · 5.4% of their workGeography, Planning and Development: 0 works · 2.7% of their workDecision Sciences: 0 works · 2.7% of their workManagement Science and Operations Research: 0 works · 2.7% of their workEverything else: 1 works · 8.1% of their workTHEIR WORKZoltán Subecz15works
Physical Sciences81%Social Sciences11%

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 Science1281.1%
    1. Social Sciences18.1%
    2. Decision Sciences02.7%
  3. Everything else18.1%
  1. 1Artificial Intelligence65% of their works
  2. 2Information Systems8% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Development5% of their works
  5. 5Management Science and Operations Research3% of their works
  6. 6Geography, Planning and Development3% of their works

Research topics

Which keywords describe Zoltán Subecz's research?

The keywords of their largest research topics: Neural Machine Translation, Statistical Machine Translation, Neural Networks, Word Representation, Garment Industry, Labor Conditions, Log Analysis and Markov Decision Processes.

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.

All 16 words, with their numbers
  1. Neural Machine Translation91 topic
  2. Statistical Machine Translation91 topic
  3. Neural Networks71 topic
  4. Word Representation71 topic
  5. Garment Industry21 topic
  6. Labor Conditions21 topic
  7. Log Analysis21 topic
  8. Markov Decision Processes21 topic
  9. Performance Prediction21 topic
  10. Spoken Dialogue Systems21 topic
  11. Formal Verification11 topic
  12. Ontology11 topic
  13. Python11 topic
  14. Scientific Computing11 topic
  15. Semantic Web11 topic
  16. Static Analysis11 topic

Where does Zoltán Subecz work?

Zoltán Subecz's main affiliation in the publication record is John von Neumann University, Hungary.

How many publications and citations does Zoltán Subecz have?

OpenAlex counts 15 works and 44 citations for Zoltán Subecz, an h-index of 3, ranking #5,401,160 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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