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Researcher · University of Engineering & Management · India

Amartya Chakraborty

Amartya Chakraborty publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, on topics such as Emotion and Mood Recognition, Context-Aware Activity Recognition Systems and Complex Network Analysis Techniques.

ORCID 0000-0001-6789-5740 OpenAlex
World rank
#3,176,897
of 7,710,434 ranked researchers
Rank in India
#66,932
of 280,097
Works
57
Citations
295
Citations per work
5.2
h-index
9
i10-index 7Top 49% in Artificial Intelligence
Amartya Chakraborty

What does Amartya Chakraborty research?

Amartya Chakraborty's work is mostly in Computer Science (29%), Physics and Astronomy (8%), Engineering (6%).

Everything else: 29 works · 50.4% of their workPhysical Sciences: 25 works · 43.6% of their workComputer Science: 17 works · 29.3% of their workArtificial Intelligence: 9 works · 15.0% of their workComputer Vision and Pattern Recognition: 6 works · 9.8% of their workComputer Networks and Communications: 3 works · 4.5% of their workPhysics and Astronomy: 5 works · 8.3% of their workStatistical and Nonlinear Physics: 5 works · 8.3% of their workEngineering: 3 works · 6.0% of their workElectrical and Electronic Engineering: 3 works · 6.0% of their workSocial Sciences: 3 works · 6.0% of their workPsychology: 3 works · 6.0% of their workExperimental and Cognitive Psychology: 3 works · 6.0% of their workTHEIR WORKAmartyaChakraborty57works
Physical Sciences44%Social Sciences6%

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 else2950.4%
    1. Computer Science1729.3%
    2. Physics and Astronomy58.3%
    3. Engineering36.0%
    1. Psychology36.0%
  1. 1Artificial Intelligence15% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Statistical and Nonlinear Physics8% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Experimental and Cognitive Psychology6% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Amartya Chakraborty's research?

The keywords of their largest research topics: Deep Learning, Emotion Recognition, Network Dynamics, Social Influence, Facial Expression, Multimodal Data, Activity Recognition and Pervasive Computing.

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 21 words, with their numbers
  1. Deep Learning183 topics
  2. Emotion Recognition112 topics
  3. Network Dynamics112 topics
  4. Social Influence112 topics
  5. Facial Expression81 topic
  6. Multimodal Data81 topic
  7. Activity Recognition71 topic
  8. Pervasive Computing71 topic
  9. Social Media72 topics
  10. Community Structure61 topic
  11. Scale-Free Networks61 topic
  12. Bounded Confidence51 topic
  13. Brain-Computer Interfaces51 topic
  14. EEG Analysis51 topic
  15. Opinion Dynamics51 topic
  16. Digital Divide41 topic
  17. Political Participation41 topic
  18. Neural Networks31 topic
  19. Opinion Mining31 topic
  20. Sentiment Analysis31 topic
  21. Word Representation31 topic

Where does Amartya Chakraborty work?

Amartya Chakraborty's main affiliation in the publication record is University of Engineering & Management, India.

How many publications and citations does Amartya Chakraborty have?

OpenAlex counts 57 works and 295 citations for Amartya Chakraborty, an h-index of 9, ranking #3,176,897 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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