Science Explorer Back to mapMap
Discussion
Researcher · Bicol University · Philippines

Lany L. Maceda

Lany L. Maceda publishes mostly in Artificial Intelligence, Media Technology and Computer Science Applications, on topics such as Topic Modeling, Sentiment Analysis and Opinion Mining and Natural Language Processing Techniques.

ORCID 0000-0001-6621-1650 OpenAlex
World rank
#3,947,694
of 7,710,434 ranked researchers
Rank in Philippines
#2,073
of 6,138
Works
33
Citations
124
Citations per work
3.8
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Lany L. Maceda

What does Lany L. Maceda research?

Lany L. Maceda's work is mostly in Computer Science (43%), Social Sciences (12%), Engineering (7%).

Physical Sciences: 17 works · 50.1% of their workComputer Science: 14 works · 43.3% of their workArtificial Intelligence: 12 works · 36.5% of their workComputer Science Applications: 2 works · 6.8% of their workEngineering: 2 works · 6.8% of their workMedia Technology: 2 works · 6.8% of their workEverything else: 11 works · 32.3% of their workSocial Sciences: 6 works · 17.6% of their workSocial Sciences: 4 works · 12.2% of their workCommunication: 2 works · 6.8% of their workPolitical Science and International Relations: 2 works · 5.4% of their workBusiness, Management and Accounting: 2 works · 5.4% of their workManagement of Technology and Innovation: 2 works · 5.4% of their workTHEIR WORKLany L. Maceda33works
Physical Sciences50%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 Science1443.3%
    2. Engineering26.8%
  2. Everything else1132.3%
    1. Social Sciences412.2%
    2. Business, Management and Accounting25.4%
  1. 1Artificial Intelligence36% of their works
  2. 2Media Technology7% of their works
  3. 3Computer Science Applications7% of their works
  4. 4Communication7% of their works
  5. 5Management of Technology and Innovation5% of their works
  6. 6Political Science and International Relations5% of their works

Research topics

Which keywords describe Lany L. Maceda's research?

The keywords of their largest research topics: Machine Learning, Neural Networks, Social Media, Text Classification, Machine Translation, Opinion Mining, Sentiment Analysis and Word Representation.

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 20 words, with their numbers
  1. Machine Learning112 topics
  2. Neural Networks102 topics
  3. Social Media102 topics
  4. Text Classification102 topics
  5. Machine Translation61 topic
  6. Opinion Mining61 topic
  7. Sentiment Analysis61 topic
  8. Word Representation61 topic
  9. Educational Data Mining51 topic
  10. Learning Analytics51 topic
  11. Neural Machine Translation51 topic
  12. Smart Cities51 topic
  13. Statistical Machine Translation51 topic
  14. Urban Innovation51 topic
  15. Automatic41 topic
  16. E-Government41 topic
  17. Extraction41 topic
  18. Feature Selection41 topic
  19. Multi-label Learning41 topic
  20. Transparency41 topic

Where does Lany L. Maceda work?

Lany L. Maceda's main affiliation in the publication record is Bicol University, Philippines.

How many publications and citations does Lany L. Maceda have?

OpenAlex counts 33 works and 124 citations for Lany L. Maceda, an h-index of 6, ranking #3,947,694 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.

Discussion

Ask a question or share a note about Lany L. Maceda. Posts are plain text and can be reported.