Science Explorer Back to mapMap
Discussion
Researcher · Siksha O Anusandhan University · India

Jyotirmayee Naik

Jyotirmayee Naik publishes mostly in Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering, on topics such as Energy Load and Power Forecasting, Machine Learning and ELM and Solar Radiation and Photovoltaics.

ORCID 0000-0001-9343-1464 OpenAlex
World rank
#1,507,370
of 7,710,434 ranked researchers
Rank in India
#23,825
of 280,097
Works
15
Citations
877
Citations per work
58.5
h-index
9
i10-index 9Top 59% in Electrical and Electronic Engineering
Jyotirmayee Naik

What does Jyotirmayee Naik research?

Jyotirmayee Naik's work is mostly in Engineering (51%), Computer Science (31%), Energy (9%).

Physical Sciences: 14 works · 91.1% of their workEngineering: 8 works · 51.1% of their workElectrical and Electronic Engineering: 5 works · 35.6% of their workControl and Systems Engineering: 2 works · 11.1% of their workAerospace Engineering: 1 works · 4.4% of their workComputer Science: 5 works · 31.1% of their workArtificial Intelligence: 4 works · 26.7% of their workComputer Vision and Pattern Recognition: 1 works · 4.4% of their workEnergy: 1 works · 8.9% of their workEnergy Engineering and Power Technology: 1 works · 8.9% of their workEverything else: 1 works · 8.9% of their workTHEIR WORKJyotirmayee Naik15works
Physical Sciences91%

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. Engineering851.1%
    2. Computer Science531.1%
    3. Energy18.9%
  2. Everything else18.9%
  1. 1Electrical and Electronic Engineering36% of their works
  2. 2Artificial Intelligence27% of their works
  3. 3Control and Systems Engineering11% of their works
  4. 4Energy Engineering and Power Technology9% of their works
  5. 5Aerospace Engineering4% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Jyotirmayee Naik's research?

The keywords of their largest research topics: Renewable Energy, Neural Networks, Deep Learning, Electricity Price Forecasting, Load Forecasting, Grid Integration, Extreme Learning Machine and Feedforward Networks.

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 22 words, with their numbers
  1. Renewable Energy184 topics
  2. Neural Networks173 topics
  3. Deep Learning112 topics
  4. Electricity Price Forecasting91 topic
  5. Load Forecasting91 topic
  6. Grid Integration72 topics
  7. Extreme Learning Machine61 topic
  8. Feedforward Networks61 topic
  9. Machine Learning62 topics
  10. Forecasting41 topic
  11. Solar Radiation41 topic
  12. Wavelet Transform42 topics
  13. Energy Storage31 topic
  14. Power Systems31 topic
  15. Dimensionality Reduction21 topic
  16. Empirical Mode Decomposition21 topic
  17. Face Recognition21 topic
  18. Fault Diagnosis21 topic
  19. Microgrid21 topic
  20. Protection21 topic
  21. Weibull Distribution21 topic
  22. Wind Turbine Wakes21 topic

Where does Jyotirmayee Naik work?

Jyotirmayee Naik's main affiliation in the publication record is Siksha O Anusandhan University, India.

How many publications and citations does Jyotirmayee Naik have?

OpenAlex counts 15 works and 877 citations for Jyotirmayee Naik, an h-index of 9, ranking #1,507,370 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.

Discussion

Ask a question or share a note about Jyotirmayee Naik. Posts are plain text and can be reported.