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Researcher · University of Mannheim · Germany

Federico Nanni

Federico Nanni publishes mostly in Artificial Intelligence, General Social Sciences and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Computational and Text Analysis Methods.

ORCID 0000-0003-2484-4331 OpenAlex
World rank
#541,191
of 7,710,434 ranked researchers
Rank in Germany
#26,658
of 364,343
Works
106
Citations
1.5k
Citations per work
13.8
h-index
17
i10-index 27Top 18% in Artificial Intelligence
Federico Nanni

What does Federico Nanni research?

Federico Nanni's work is mostly in Computer Science (45%), Social Sciences (11%), Arts and Humanities (5%).

Physical Sciences: 47 works · 44.6% of their workComputer Science: 47 works · 44.6% of their workArtificial Intelligence: 40 works · 38.1% of their workInformation Systems: 7 works · 6.5% of their workEverything else: 37 works · 35.1% of their workSocial Sciences: 22 works · 20.3% of their workSocial Sciences: 12 works · 11.2% of their workGeneral Social Sciences: 7 works · 6.9% of their workSociology and Political Science: 5 works · 4.3% of their workArts and Humanities: 6 works · 5.2% of their workLiterature and Literary Theory: 6 works · 5.2% of their workDecision Sciences: 4 works · 3.9% of their workManagement Science and Operations Research: 4 works · 3.9% of their workTHEIR WORKFederico Nanni106works
Physical Sciences45%Social Sciences20%

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 Science4744.6%
  2. Everything else3735.1%
    1. Social Sciences1211.2%
    2. Arts and Humanities65.2%
    3. Decision Sciences43.9%
  1. 1Artificial Intelligence38% of their works
  2. 2General Social Sciences7% of their works
  3. 3Information Systems6% of their works
  4. 4Literature and Literary Theory5% of their works
  5. 5Sociology and Political Science4% of their works
  6. 6Management Science and Operations Research4% of their works

Research topics

Which keywords describe Federico Nanni's research?

The keywords of their largest research topics: Topic Modeling, Information Retrieval, Neural Networks, Word Representation, Big Data, Machine Learning, Text Mining and Data Integration.

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. Topic Modeling512 topics
  2. Information Retrieval442 topics
  3. Neural Networks351 topic
  4. Word Representation351 topic
  5. Big Data252 topics
  6. Machine Learning242 topics
  7. Text Mining202 topics
  8. Data Integration182 topics
  9. Neural Machine Translation181 topic
  10. Statistical Machine Translation181 topic
  11. Computational Text Analysis161 topic
  12. Social Science Research161 topic
  13. Digital Humanities121 topic
  14. Literary History121 topic
  15. Data Cleaning91 topic
  16. Ontology91 topic
  17. Record Linkage91 topic
  18. Semantic Web91 topic
  19. Web Crawling91 topic
  20. Web Data Extraction91 topic
  21. Opinion Mining81 topic
  22. Sentiment Analysis81 topic

Where does Federico Nanni work?

Federico Nanni's main affiliation in the publication record is University of Mannheim, Germany.

How many publications and citations does Federico Nanni have?

OpenAlex counts 106 works and 1,468 citations for Federico Nanni, an h-index of 17, ranking #541,191 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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