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Researcher · Islamic University · Bangladesh

Bikash Chandra Singh

Bikash Chandra Singh publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Information Systems, on topics such as Privacy-Preserving Technologies in Data, Spam and Phishing Detection and Sentiment Analysis and Opinion Mining.

ORCID 0000-0002-2870-8137 OpenAlex
World rank
#2,863,389
of 7,710,434 ranked researchers
Rank in Bangladesh
#4,496
of 14,256
Works
36
Citations
377
Citations per work
10.5
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Bikash Chandra Singh

What does Bikash Chandra Singh research?

Bikash Chandra Singh's work is mostly in Computer Science (43%), Engineering (11%), Physics and Astronomy (8%).

Physical Sciences: 22 works · 62.2% of their workComputer Science: 16 works · 43.4% of their workArtificial Intelligence: 8 works · 22.6% of their workComputer Networks and Communications: 4 works · 10.4% of their workInformation Systems: 4 works · 10.4% of their workEngineering: 4 works · 11.3% of their workElectrical and Electronic Engineering: 4 works · 11.3% of their workPhysics and Astronomy: 3 works · 7.5% of their workStatistical and Nonlinear Physics: 3 works · 7.5% of their workEverything else: 11 works · 31.2% of their workSocial Sciences: 2 works · 6.6% of their workSocial Sciences: 2 works · 6.6% of their workSociology and Political Science: 2 works · 6.6% of their workTHEIR WORKBikash ChandraSingh36works
Physical Sciences62%Social Sciences7%

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 Science1643.4%
    2. Engineering411.3%
    3. Physics and Astronomy37.5%
  2. Everything else1131.2%
    1. Social Sciences26.6%
  1. 1Artificial Intelligence23% of their works
  2. 2Electrical and Electronic Engineering11% of their works
  3. 3Information Systems10% of their works
  4. 4Computer Networks and Communications10% of their works
  5. 5Statistical and Nonlinear Physics8% of their works
  6. 6Sociology and Political Science7% of their works

Research topics

Which keywords describe Bikash Chandra Singh's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Differential Privacy, Federated Learning, Medical Imaging, Transfer Learning, Phishing and Spam Detection.

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. Machine Learning224 topics
  2. Deep Learning123 topics
  3. Differential Privacy81 topic
  4. Federated Learning81 topic
  5. Medical Imaging72 topics
  6. Transfer Learning72 topics
  7. Phishing61 topic
  8. Spam Detection61 topic
  9. Community Structure51 topic
  10. Network Dynamics51 topic
  11. Opinion Mining51 topic
  12. Sentiment Analysis51 topic
  13. COVID-1941 topic
  14. Convolutional Neural Networks41 topic
  15. Online Social Networks41 topic
  16. Privacy Concerns41 topic
  17. Blockchain31 topic
  18. Brain Tumor31 topic
  19. Internet of Things31 topic
  20. MRI31 topic

Where does Bikash Chandra Singh work?

Bikash Chandra Singh's main affiliation in the publication record is Islamic University, Bangladesh.

How many publications and citations does Bikash Chandra Singh have?

OpenAlex counts 36 works and 377 citations for Bikash Chandra Singh, an h-index of 8, ranking #2,863,389 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.

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