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Researcher · University of the South Pacific · Fiji

Bibhya Nand Sharma

Bibhya Nand Sharma publishes mostly in Education, Computer Vision and Pattern Recognition and Control and Systems Engineering, on topics such as Robotic Path Planning Algorithms, Control and Dynamics of Mobile Robots and Distributed Control Multi-Agent Systems.

ORCID 0000-0002-7519-7712 OpenAlex
World rank
#713,991
of 7,710,434 ranked researchers
Rank in Fiji
#23
of 368
Works
258
Citations
2.8k
Citations per work
10.8
h-index
28
i10-index 69Top 1.6% in Education
Bibhya Nand Sharma

What does Bibhya Nand Sharma research?

Bibhya Nand Sharma's work is mostly in Computer Science (36%), Social Sciences (13%), Engineering (12%).

Physical Sciences: 122 works · 47.4% of their workComputer Science: 92 works · 35.5% of their workComputer Vision and Pattern Recognition: 34 works · 13.3% of their workInformation Systems: 25 works · 9.8% of their workComputer Networks and Communications: 21 works · 8.0% of their workComputer Science Applications: 11 works · 4.4% of their workEngineering: 31 works · 11.9% of their workControl and Systems Engineering: 31 works · 11.9% of their workEverything else: 101 works · 39.2% of their workSocial Sciences: 35 works · 13.4% of their workSocial Sciences: 35 works · 13.4% of their workEducation: 35 works · 13.4% of their workTHEIR WORKBibhya NandSharma258works
Physical Sciences47%Social Sciences13%

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 Science9235.5%
    2. Engineering3111.9%
  2. Everything else10139.2%
    1. Social Sciences3513.4%
  1. 1Education13% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Control and Systems Engineering12% of their works
  4. 4Information Systems10% of their works
  5. 5Computer Networks and Communications8% of their works
  6. 6Computer Science Applications4% of their works

Research topics

Which keywords describe Bibhya Nand Sharma's research?

The keywords of their largest research topics: Path Planning, Multi-Agent Systems, Optimal Motion Planning, Sampling-Based Algorithms, Online Learning, Adaptive Control, Trajectory Tracking and Higher Education.

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 21 words, with their numbers
  1. Path Planning1272 topics
  2. Multi-Agent Systems1152 topics
  3. Optimal Motion Planning771 topic
  4. Sampling-Based Algorithms771 topic
  5. Online Learning512 topics
  6. Adaptive Control501 topic
  7. Trajectory Tracking501 topic
  8. Higher Education432 topics
  9. Consensus381 topic
  10. Cooperative Control381 topic
  11. Student Engagement372 topics
  12. Blended Learning291 topic
  13. Distance Education291 topic
  14. Mobile Learning281 topic
  15. Technology Integration281 topic
  16. Educational Data Mining221 topic
  17. Learning Analytics221 topic
  18. Active Learning151 topic
  19. Flipped Classroom151 topic
  20. Modular Robots151 topic
  21. Self-Reconfiguration151 topic

Where does Bibhya Nand Sharma work?

Bibhya Nand Sharma's main affiliation in the publication record is University of the South Pacific, Fiji.

How many publications and citations does Bibhya Nand Sharma have?

OpenAlex counts 258 works and 2,778 citations for Bibhya Nand Sharma, an h-index of 28, ranking #713,991 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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