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Researcher · Graphic Era University · India

Dibyhash Bordoloi

Dibyhash Bordoloi publishes mostly in Computer Networks and Communications, Information Systems and Pulmonary and Respiratory Medicine, on topics such as IoT and Edge/Fog Computing, Blockchain Technology Applications and Security and Internet of Things and AI.

OpenAlex
World rank
#4,276,292
of 7,710,434 ranked researchers
Rank in India
#106,195
of 280,097
Works
21
Citations
199
Citations per work
9.5
h-index
4
i10-index 3Top 92% in Computer Networks and Communications
Dibyhash Bordoloi

What does Dibyhash Bordoloi research?

Dibyhash Bordoloi's work is mostly in Computer Science (41%), Medicine (8%), Engineering (6%).

Physical Sciences: 10 works · 47.0% of their workComputer Science: 9 works · 41.1% of their workComputer Networks and Communications: 4 works · 17.6% of their workInformation Systems: 4 works · 17.6% of their workArtificial Intelligence: 1 works · 5.9% of their workEngineering: 1 works · 5.9% of their workElectrical and Electronic Engineering: 1 works · 5.9% of their workEverything else: 8 works · 39.3% of their workHealth Sciences: 2 works · 7.8% of their workMedicine: 2 works · 7.8% of their workPulmonary and Respiratory Medicine: 2 works · 7.8% of their workSocial Sciences: 1 works · 5.9% of their workBusiness, Management and Accounting: 1 works · 5.9% of their workManagement Information Systems: 1 works · 5.9% of their workTHEIR WORKDibyhash Bordoloi21works
Physical Sciences47%Health Sciences8%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. Computer Science941.1%
    2. Engineering15.9%
  2. Everything else839.3%
    1. Medicine27.8%
    1. Business, Management and Accounting15.9%
  1. 1Computer Networks and Communications18% of their works
  2. 2Information Systems18% of their works
  3. 3Pulmonary and Respiratory Medicine8% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Management Information Systems6% of their works
  6. 6Artificial Intelligence6% of their works

Research topics

Which keywords describe Dibyhash Bordoloi's research?

The keywords of their largest research topics: Healthcare, Internet of Things, Deep Learning, Machine Learning, Smart Cities, Security, Big Data Analytics and Edge 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 24 words, with their numbers
  1. Healthcare124 topics
  2. Internet of Things103 topics
  3. Deep Learning73 topics
  4. Machine Learning74 topics
  5. Smart Cities72 topics
  6. Security62 topics
  7. Big Data Analytics52 topics
  8. Edge Computing41 topic
  9. Fog Computing41 topic
  10. Artificial Intelligence31 topic
  11. Blockchain31 topic
  12. Cloud Computing31 topic
  13. Data Mining32 topics
  14. Smart Contracts31 topic
  15. Activity Recognition21 topic
  16. Classification Models21 topic
  17. Medical Diagnosis21 topic
  18. Pervasive Computing21 topic
  19. Autism Spectrum Disorders11 topic
  20. Differential Privacy11 topic
  21. Federated Learning11 topic
  22. Genetics11 topic
  23. Histopathology Images11 topic
  24. Medical Image Analysis11 topic

Where does Dibyhash Bordoloi work?

Dibyhash Bordoloi's main affiliation in the publication record is Graphic Era University, India.

How many publications and citations does Dibyhash Bordoloi have?

OpenAlex counts 21 works and 199 citations for Dibyhash Bordoloi, an h-index of 4, ranking #4,276,292 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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