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Researcher · Athabasca University · Canada

M. Ali Akber Dewan

M. Ali Akber Dewan publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications, on topics such as Online Learning and Analytics, Video Surveillance and Tracking Methods and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0001-6347-7509 OpenAlex
World rank
#447,069
of 7,710,434 ranked researchers
Rank in Canada
#15,594
of 183,316
Works
131
Citations
2.8k
Citations per work
21.3
h-index
22
i10-index 47Top 11% in Computer Vision and Pattern Recognition
M. Ali Akber Dewan

What does M. Ali Akber Dewan research?

M. Ali Akber Dewan's work is mostly in Computer Science (50%), Medicine (4%), Psychology (4%).

Physical Sciences: 65 works · 49.6% of their workComputer Science: 65 works · 49.6% of their workComputer Vision and Pattern Recognition: 31 works · 23.5% of their workArtificial Intelligence: 20 works · 15.3% of their workComputer Science Applications: 9 works · 7.1% of their workInformation Systems: 5 works · 3.7% of their workEverything else: 56 works · 43.0% of their workHealth Sciences: 5 works · 3.7% of their workMedicine: 5 works · 3.7% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 3.7% of their workSocial Sciences: 5 works · 3.7% of their workPsychology: 5 works · 3.7% of their workExperimental and Cognitive Psychology: 5 works · 3.7% of their workTHEIR WORKM. Ali AkberDewan131works
Physical Sciences50%Health Sciences4%Social Sciences4%

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 Science6549.6%
  2. Everything else5643.0%
    1. Medicine53.7%
    1. Psychology53.7%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Computer Science Applications7% of their works
  4. 4Experimental and Cognitive Psychology4% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe M. Ali Akber Dewan's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Educational Data Mining, Learning Analytics, Object Tracking, Visual Tracking, Feature Matching and Local Descriptors.

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 18 words, with their numbers
  1. Deep Learning534 topics
  2. Convolutional Neural Networks262 topics
  3. Educational Data Mining241 topic
  4. Learning Analytics241 topic
  5. Object Tracking181 topic
  6. Visual Tracking181 topic
  7. Feature Matching151 topic
  8. Local Descriptors151 topic
  9. Depth Estimation131 topic
  10. Stereo Vision131 topic
  11. Affective States121 topic
  12. Emotion Recognition121 topic
  13. Intelligent Tutoring Systems121 topic
  14. Multimodal Data121 topic
  15. Face Recognition81 topic
  16. Facial Landmark Detection81 topic
  17. Neural Networks81 topic
  18. Word Representation81 topic

Where does M. Ali Akber Dewan work?

M. Ali Akber Dewan's main affiliation in the publication record is Athabasca University, Canada.

How many publications and citations does M. Ali Akber Dewan have?

OpenAlex counts 131 works and 2,784 citations for M. Ali Akber Dewan, an h-index of 22, ranking #447,069 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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