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Researcher · Sandip Foundation · India

Mangesh Nikose

Mangesh Nikose publishes mostly in Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Artificial Intelligence in Healthcare, Energy Efficient Wireless Sensor Networks and ECG Monitoring and Analysis.

OpenAlex
World rank
#6,837,731
of 7,710,434 ranked researchers
Rank in India
#232,580
of 280,097
Works
22
Citations
12
Citations per work
0.5
h-index
2
i10-index 0Top 99.1% in Electrical and Electronic Engineering
Mangesh Nikose

What does Mangesh Nikose research?

Mangesh Nikose's work is mostly in Computer Science (27%), Engineering (11%), Health Professions (9%).

Everything else: 11 works · 48.2% of their workPhysical Sciences: 8 works · 37.5% of their workComputer Science: 6 works · 26.8% of their workComputer Networks and Communications: 2 works · 10.7% of their workComputer Vision and Pattern Recognition: 2 works · 10.7% of their workArtificial Intelligence: 1 works · 5.4% of their workEngineering: 2 works · 10.7% of their workElectrical and Electronic Engineering: 2 works · 10.7% of their workHealth Sciences: 3 works · 14.3% of their workHealth Professions: 2 works · 8.9% of their workHealth Information Management: 2 works · 8.9% of their workMedicine: 1 works · 5.4% of their workCardiology and Cardiovascular Medicine: 1 works · 5.4% of their workTHEIR WORKMangesh Nikose22works
Physical Sciences38%Health 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 else1148.2%
    1. Computer Science626.8%
    2. Engineering210.7%
    1. Health Professions28.9%
    2. Medicine15.4%
  1. 1Electrical and Electronic Engineering11% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Computer Networks and Communications11% of their works
  4. 4Health Information Management9% of their works
  5. 5Cardiology and Cardiovascular Medicine5% of their works
  6. 6Artificial Intelligence5% of their works

Research topics

Which keywords describe Mangesh Nikose's research?

The keywords of their largest research topics: Deep Learning, Healthcare, Machine Learning, Big Data Analytics, Classification, Medical Diagnosis, Arrhythmia Detection and ECG Signal.

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. Deep Learning94 topics
  2. Healthcare72 topics
  3. Machine Learning72 topics
  4. Big Data Analytics51 topic
  5. Classification52 topics
  6. Medical Diagnosis51 topic
  7. Arrhythmia Detection31 topic
  8. ECG Signal31 topic
  9. Energy-Efficient Protocols31 topic
  10. Wireless Sensor Networks31 topic
  11. Brain Tumor21 topic
  12. Contrast Enhancement21 topic
  13. Control Systems21 topic
  14. Dehazing21 topic
  15. Edge Computing21 topic
  16. Electric Motor Drives21 topic
  17. Internet of Things21 topic
  18. MRI21 topic
  19. Magnetic Levitation21 topic
  20. Permanent Magnet Machines21 topic

Where does Mangesh Nikose work?

Mangesh Nikose's main affiliation in the publication record is Sandip Foundation, India.

How many publications and citations does Mangesh Nikose have?

OpenAlex counts 22 works and 12 citations for Mangesh Nikose, an h-index of 2, ranking #6,837,731 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.

Discussion

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