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

Mideth Abisado

Mideth Abisado publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Online Learning and Analytics, Traffic Prediction and Management Techniques and Industrial Vision Systems and Defect Detection.

ORCID 0000-0003-4215-7260 OpenAlex
World rank
#2,197,661
of 7,710,434 ranked researchers
Rank in Philippines
#894
of 6,138
Works
142
Citations
826
Citations per work
5.8
h-index
14
i10-index 20Top 25% in Artificial Intelligence
Mideth Abisado

What does Mideth Abisado research?

Mideth Abisado's work is mostly in Computer Science (38%), Engineering (5%).

Everything else: 81 works · 57.1% of their workPhysical Sciences: 61 works · 42.9% of their workComputer Science: 54 works · 38.3% of their workArtificial Intelligence: 20 works · 14.4% of their workComputer Vision and Pattern Recognition: 11 works · 7.5% of their workInformation Systems: 11 works · 7.5% of their workComputer Science Applications: 7 works · 5.2% of their workComputer Networks and Communications: 5 works · 3.7% of their workEngineering: 7 works · 4.6% of their workIndustrial and Manufacturing Engineering: 7 works · 4.6% of their workTHEIR WORKMideth Abisado142works
Physical Sciences43%

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. Everything else8157.1%
    1. Computer Science5438.3%
    2. Engineering74.6%
  1. 1Artificial Intelligence14% of their works
  2. 2Computer Vision and Pattern Recognition8% of their works
  3. 3Information Systems8% of their works
  4. 4Computer Science Applications5% of their works
  5. 5Industrial and Manufacturing Engineering5% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Mideth Abisado's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Educational Data Mining, Learning Analytics, Neural Networks, Sustainability, Short-Term Forecasting and Traffic Flow.

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. Deep Learning223 topics
  2. Machine Learning222 topics
  3. Educational Data Mining171 topic
  4. Learning Analytics171 topic
  5. Neural Networks162 topics
  6. Sustainability122 topics
  7. Short-Term Forecasting91 topic
  8. Traffic Flow91 topic
  9. Fabric Defect Detection81 topic
  10. Machine Vision81 topic
  11. Machine Translation71 topic
  12. Word Representation71 topic
  13. 3D Printing61 topic
  14. Additive Manufacturing61 topic
  15. Digital Twin61 topic
  16. GPS Data61 topic
  17. Human Mobility61 topic
  18. Smart Manufacturing61 topic
  19. Opinion Mining51 topic
  20. Sentiment Analysis51 topic

Where does Mideth Abisado work?

Mideth Abisado's main affiliation in the publication record is National University, Philippines.

How many publications and citations does Mideth Abisado have?

OpenAlex counts 142 works and 826 citations for Mideth Abisado, an h-index of 14, ranking #2,197,661 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 Mideth Abisado. 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.