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Researcher · Universitat Politècnica de Catalunya · Spain

Ramon Ferrer‐i‐Cancho

Ramon Ferrer‐i‐Cancho publishes mostly in Artificial Intelligence, Molecular Biology and Cultural Studies, on topics such as Language and cultural evolution, Natural Language Processing Techniques and Fractal and DNA sequence analysis.

ORCID 0000-0002-7820-923X OpenAlex
World rank
#216,286
of 7,710,434 ranked researchers
Rank in Spain
#3,319
of 204,306
Works
266
Citations
6.7k
Citations per work
25.4
h-index
37
i10-index 77Top 2.7% in Artificial Intelligence
Ramon Ferrer‐i‐Cancho

What does Ramon Ferrer‐i‐Cancho research?

Ramon Ferrer‐i‐Cancho's work is mostly in Computer Science (28%), Biochemistry, Genetics and Molecular Biology (16%), Social Sciences (12%).

Physical Sciences: 99 works · 37.3% of their workComputer Science: 76 works · 28.5% of their workArtificial Intelligence: 59 works · 22.1% of their workComputational Theory and Mathematics: 17 works · 6.4% of their workPhysics and Astronomy: 23 works · 8.8% of their workStatistical and Nonlinear Physics: 23 works · 8.8% of their workEverything else: 76 works · 28.4% of their workSocial Sciences: 47 works · 17.8% of their workSocial Sciences: 33 works · 12.4% of their workCultural Studies: 33 works · 12.4% of their workArts and Humanities: 14 works · 5.4% of their workLanguage and Linguistics: 14 works · 5.4% of their workLife Sciences: 44 works · 16.5% of their workBiochemistry, Genetics and Molecular Biology: 44 works · 16.5% of their workMolecular Biology: 44 works · 16.5% of their workTHEIR WORKRamonFerrer‐i‐Cancho266works
Life Sciences16%Physical Sciences37%Social Sciences18%

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 Science7628.5%
    2. Physics and Astronomy238.8%
  2. Everything else7628.4%
    1. Social Sciences3312.4%
    2. Arts and Humanities145.4%
    1. Biochemistry, Genetics and Molecular Biology4416.5%
  1. 1Artificial Intelligence22% of their works
  2. 2Molecular Biology16% of their works
  3. 3Cultural Studies12% of their works
  4. 4Statistical and Nonlinear Physics9% of their works
  5. 5Computational Theory and Mathematics6% of their works
  6. 6Language and Linguistics5% of their works

Research topics

Which keywords describe Ramon Ferrer‐i‐Cancho's research?

The keywords of their largest research topics: Social Learning, Machine Learning, Cultural Evolution, Language, Neural Machine Translation, Statistical Machine Translation, DNA Sequences and Genomic Signal Processing.

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. Social Learning702 topics
  2. Machine Learning592 topics
  3. Cultural Evolution581 topic
  4. Language581 topic
  5. Neural Machine Translation391 topic
  6. Statistical Machine Translation391 topic
  7. DNA Sequences381 topic
  8. Genomic Signal Processing381 topic
  9. Network Dynamics362 topics
  10. Social Influence362 topics
  11. Community Structure221 topic
  12. Scale-Free Networks221 topic
  13. Authorship Attribution211 topic
  14. Stylometry211 topic
  15. Semantics181 topic
  16. Syntax181 topic
  17. Bounded Confidence141 topic
  18. Opinion Dynamics141 topic
  19. Avian Vocal Communication121 topic
  20. Birdsong121 topic

Where does Ramon Ferrer‐i‐Cancho work?

Ramon Ferrer‐i‐Cancho's main affiliation in the publication record is Universitat Politècnica de Catalunya, Spain.

How many publications and citations does Ramon Ferrer‐i‐Cancho have?

OpenAlex counts 266 works and 6,748 citations for Ramon Ferrer‐i‐Cancho, an h-index of 37, ranking #216,286 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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