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Researcher · Punjab Technical University · India

Kulwinder Singh Parmar

Kulwinder Singh Parmar publishes mostly in Environmental Engineering, Water Science and Technology and Global and Planetary Change, on topics such as Hydrological Forecasting Using AI, Air Quality Monitoring and Forecasting and Energy Load and Power Forecasting.

ORCID 0000-0002-7589-7364 OpenAlex
World rank
#291,209
of 7,710,434 ranked researchers
Rank in India
#3,199
of 280,097
Works
65
Citations
2.8k
Citations per work
43.0
h-index
26
i10-index 35Top 12% in Environmental Engineering
Kulwinder Singh Parmar

What does Kulwinder Singh Parmar research?

Kulwinder Singh Parmar's work is mostly in Environmental Science (43%), Computer Science (7%), Engineering (7%).

Physical Sciences: 37 works · 56.7% of their workEnvironmental Science: 28 works · 43.2% of their workEnvironmental Engineering: 15 works · 23.2% of their workWater Science and Technology: 7 works · 10.3% of their workGlobal and Planetary Change: 6 works · 9.7% of their workComputer Science: 5 works · 7.0% of their workArtificial Intelligence: 5 works · 7.0% of their workEngineering: 4 works · 6.5% of their workElectrical and Electronic Engineering: 4 works · 6.5% of their workEverything else: 25 works · 39.0% of their workSocial Sciences: 3 works · 4.3% of their workDecision Sciences: 3 works · 4.3% of their workManagement Science and Operations Research: 3 works · 4.3% of their workTHEIR WORKKulwinder SinghParmar65works
Physical Sciences57%Social Sciences4%

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. Environmental Science2843.2%
    2. Computer Science57.0%
    3. Engineering46.5%
  2. Everything else2539.0%
    1. Decision Sciences34.3%
  1. 1Environmental Engineering23% of their works
  2. 2Water Science and Technology10% of their works
  3. 3Global and Planetary Change10% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Management Science and Operations Research4% of their works

Research topics

Which keywords describe Kulwinder Singh Parmar's research?

The keywords of their largest research topics: Machine Learning, Forecasting, Water Resources, Artificial Neural Networks, Hydrology, Neural Networks, Environmental Monitoring and IoT.

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 24 words, with their numbers
  1. Machine Learning483 topics
  2. Forecasting412 topics
  3. Water Resources352 topics
  4. Artificial Neural Networks281 topic
  5. Hydrology281 topic
  6. Neural Networks232 topics
  7. Environmental Monitoring202 topics
  8. IoT202 topics
  9. Air Quality Monitoring131 topic
  10. Low-Cost Sensors131 topic
  11. Remote Sensing132 topics
  12. Air Quality122 topics
  13. Electricity Price Forecasting101 topic
  14. Load Forecasting101 topic
  15. Aquaculture71 topic
  16. Climate Change71 topic
  17. Hydrological Modeling71 topic
  18. Monitoring71 topic
  19. Wastewater71 topic
  20. Water Quality Monitoring71 topic
  21. Aerosols61 topic
  22. Atmospheric Aerosols61 topic
  23. Black Carbon61 topic
  24. Climate61 topic

Where does Kulwinder Singh Parmar work?

Kulwinder Singh Parmar's main affiliation in the publication record is Punjab Technical University, India.

How many publications and citations does Kulwinder Singh Parmar have?

OpenAlex counts 65 works and 2,797 citations for Kulwinder Singh Parmar, an h-index of 26, ranking #291,209 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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