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Researcher · Chukyo University · Japan

George V. Lashkia

George V. Lashkia publishes mostly in Artificial Intelligence, Information Systems and Civil and Structural Engineering, on topics such as Machine Learning and Data Classification, Machine Learning and Algorithms and Imbalanced Data Classification Techniques.

ORCID 0000-0002-5038-1126 OpenAlex
World rank
#3,587,478
of 7,710,434 ranked researchers
Rank in Japan
#89,373
of 383,136
Works
18
Citations
173
Citations per work
9.6
h-index
4
i10-index 3Top 90% in Artificial Intelligence
George V. Lashkia

What does George V. Lashkia research?

George V. Lashkia's work is mostly in Computer Science (67%), Engineering (16%).

Physical Sciences: 15 works · 82.3% of their workComputer Science: 12 works · 66.6% of their workArtificial Intelligence: 7 works · 39.2% of their workInformation Systems: 2 works · 13.7% of their workComputer Vision and Pattern Recognition: 1 works · 7.8% of their workHuman-Computer Interaction: 1 works · 5.9% of their workEngineering: 3 works · 15.7% of their workCivil and Structural Engineering: 2 works · 11.8% of their workControl and Systems Engineering: 1 works · 3.9% of their workEverything else: 3 works · 17.7% of their workTHEIR WORKGeorge V. Lashkia18works
Physical Sciences82%

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 Science1266.6%
    2. Engineering315.7%
  2. Everything else317.7%
  1. 1Artificial Intelligence39% of their works
  2. 2Information Systems14% of their works
  3. 3Civil and Structural Engineering12% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Human-Computer Interaction6% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe George V. Lashkia's research?

The keywords of their largest research topics: Classification, Deep Learning, Hyperparameter Optimization, Machine Learning, Noisy Labels, Neural Networks, Active Learning and Semi-Supervised Learning.

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. Classification102 topics
  2. Deep Learning93 topics
  3. Hyperparameter Optimization71 topic
  4. Machine Learning72 topics
  5. Noisy Labels71 topic
  6. Neural Networks52 topics
  7. Active Learning41 topic
  8. Semi-Supervised Learning41 topic
  9. Data Mining31 topic
  10. Frequent Patterns31 topic
  11. Gesture Recognition31 topic
  12. Human-Computer Interaction31 topic
  13. Imbalanced Data31 topic
  14. SMOTE31 topic
  15. Authentication21 topic
  16. Backpropagation Learning21 topic
  17. Granular Computing21 topic
  18. Rough Sets21 topic
  19. Security21 topic
  20. Self-Organizing Maps21 topic

Where does George V. Lashkia work?

George V. Lashkia's main affiliation in the publication record is Chukyo University, Japan.

How many publications and citations does George V. Lashkia have?

OpenAlex counts 18 works and 173 citations for George V. Lashkia, an h-index of 4, ranking #3,587,478 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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