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Researcher · Virginia Tech · United States

Saifur Rahman

Saifur Rahman publishes mostly in Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence, on topics such as Multi-Criteria Decision Making, Energy Load and Power Forecasting and Fuzzy and Soft Set Theory.

ORCID 0000-0003-0652-1002 OpenAlex
World rank
#3,508,313
of 7,710,434 ranked researchers
Rank in United States
#981,018
of 1,627,098
Works
104
Citations
2k
Citations per work
19.0
h-index
16
i10-index 28Top 27% in Electrical and Electronic Engineering
Saifur Rahman

What does Saifur Rahman research?

Saifur Rahman's work is mostly in Engineering (22%), Computer Science (16%), Decision Sciences (14%).

Everything else: 46 works · 43.9% of their workPhysical Sciences: 44 works · 42.5% of their workEngineering: 23 works · 22.0% of their workElectrical and Electronic Engineering: 19 works · 18.0% of their workControl and Systems Engineering: 4 works · 4.0% of their workComputer Science: 17 works · 16.5% of their workArtificial Intelligence: 13 works · 12.1% of their workComputational Theory and Mathematics: 5 works · 4.4% of their workEnergy: 4 works · 4.0% of their workRenewable Energy, Sustainability and the Environment: 4 works · 4.0% of their workSocial Sciences: 14 works · 13.6% of their workDecision Sciences: 14 works · 13.6% of their workManagement Science and Operations Research: 14 works · 13.6% of their workTHEIR WORKSaifur Rahman104works
Physical Sciences42%Social Sciences14%

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. Everything else4643.9%
    1. Engineering2322.0%
    2. Computer Science1716.5%
    3. Energy44.0%
    1. Decision Sciences1413.6%
  1. 1Electrical and Electronic Engineering18% of their works
  2. 2Management Science and Operations Research14% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Computational Theory and Mathematics4% of their works
  5. 5Renewable Energy, Sustainability and the Environment4% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Saifur Rahman's research?

The keywords of their largest research topics: Fuzzy Sets, Renewable Energy, Analytic Hierarchy Process, TOPSIS, Artificial Neural Networks, Machine Learning, Electricity Price Forecasting and Load Forecasting.

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. Fuzzy Sets282 topics
  2. Renewable Energy253 topics
  3. Analytic Hierarchy Process181 topic
  4. TOPSIS181 topic
  5. Artificial Neural Networks142 topics
  6. Machine Learning142 topics
  7. Electricity Price Forecasting111 topic
  8. Load Forecasting111 topic
  9. Decision Making101 topic
  10. Soft Set Theory101 topic
  11. Building Energy Consumption81 topic
  12. Demand Response81 topic
  13. Fuzzy Logic Systems81 topic
  14. Smart Grid81 topic
  15. Thermal Comfort81 topic
  16. Type-2 Fuzzy Sets81 topic
  17. Forecasting61 topic
  18. Solar Radiation61 topic
  19. Fuzzy Logic51 topic
  20. Residuated Lattices51 topic

Where does Saifur Rahman work?

Saifur Rahman's main affiliation in the publication record is Virginia Tech, United States.

How many publications and citations does Saifur Rahman have?

OpenAlex counts 104 works and 1,971 citations for Saifur Rahman, an h-index of 16, ranking #3,508,313 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.

Other researchers named Saifur Rahman

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