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Researcher · Tafresh University · Iran

Navid Razmjooy

Navid Razmjooy publishes mostly in Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Cutaneous Melanoma Detection and Management and Numerical Methods and Algorithms.

ORCID 0000-0002-0102-1482 OpenAlex
World rank
#65,783
of 7,710,434 ranked researchers
Rank in Iran
#277
of 71,317
Works
133
Citations
5.4k
Citations per work
40.4
h-index
38
i10-index 75Top 3.8% in Electrical and Electronic Engineering
Navid Razmjooy

What does Navid Razmjooy research?

Navid Razmjooy's work is mostly in Engineering (24%), Computer Science (21%), Medicine (4%).

Everything else: 64 works · 48.3% of their workPhysical Sciences: 63 works · 47.6% of their workEngineering: 31 works · 23.5% of their workElectrical and Electronic Engineering: 19 works · 14.5% of their workControl and Systems Engineering: 12 works · 9.0% of their workComputer Science: 27 works · 20.6% of their workArtificial Intelligence: 15 works · 11.0% of their workComputer Vision and Pattern Recognition: 13 works · 9.6% of their workEnergy: 5 works · 3.5% of their workRenewable Energy, Sustainability and the Environment: 5 works · 3.5% of their workHealth Sciences: 5 works · 4.1% of their workMedicine: 5 works · 4.1% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 4.1% of their workTHEIR WORKNavid Razmjooy133works
Physical Sciences48%Health 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. Everything else6448.3%
    1. Engineering3123.5%
    2. Computer Science2720.6%
    3. Energy53.5%
    1. Medicine54.1%
  1. 1Electrical and Electronic Engineering14% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Control and Systems Engineering9% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Renewable Energy, Sustainability and the Environment4% of their works

Research topics

Which keywords describe Navid Razmjooy's research?

The keywords of their largest research topics: Deep Learning, Histopathology Images, Medical Image Analysis, Dermoscopy, Melanoma, Floating-Point Arithmetic, Interval Analysis and Polymer Electrolyte Membranes.

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 17 words, with their numbers
  1. Deep Learning252 topics
  2. Histopathology Images141 topic
  3. Medical Image Analysis141 topic
  4. Dermoscopy111 topic
  5. Melanoma111 topic
  6. Floating-Point Arithmetic91 topic
  7. Interval Analysis91 topic
  8. Polymer Electrolyte Membranes91 topic
  9. Proton Exchange Membranes91 topic
  10. Differential Evolution81 topic
  11. Particle Swarm Optimization81 topic
  12. Distributed Generation71 topic
  13. Electrocatalysis71 topic
  14. Energy Conversion71 topic
  15. Multivariate Calibration71 topic
  16. Near-Infrared Spectroscopy71 topic
  17. Optimal Power Flow71 topic

Where does Navid Razmjooy work?

Navid Razmjooy's main affiliation in the publication record is Tafresh University, Iran.

How many publications and citations does Navid Razmjooy have?

OpenAlex counts 133 works and 5,377 citations for Navid Razmjooy, an h-index of 38, ranking #65,783 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

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