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Researcher · Universidade de Santiago de Compostela · Spain

Manisha Sanjay Sirsat

Manisha Sanjay Sirsat publishes mostly in Plant Science, Artificial Intelligence and Ecology, on topics such as Smart Agriculture and AI, Machine Learning and Data Classification and Greenhouse Technology and Climate Control.

ORCID 0000-0002-5696-3602 OpenAlex
World rank
#1,356,331
of 7,710,434 ranked researchers
Rank in Spain
#27,833
of 204,306
Works
15
Citations
1k
Citations per work
68.6
h-index
9
i10-index 9Top 56% in Plant Science
Manisha Sanjay Sirsat

What does Manisha Sanjay Sirsat research?

Manisha Sanjay Sirsat's work is mostly in Agricultural and Biological Sciences (31%), Computer Science (20%), Biochemistry, Genetics and Molecular Biology (5%).

Life Sciences: 5 works · 35.9% of their workAgricultural and Biological Sciences: 5 works · 30.8% of their workPlant Science: 5 works · 30.8% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 5.1% of their workGenetics: 1 works · 5.1% of their workEverything else: 5 works · 33.4% of their workPhysical Sciences: 4 works · 25.6% of their workComputer Science: 3 works · 20.5% of their workArtificial Intelligence: 2 works · 15.4% of their workComputer Vision and Pattern Recognition: 1 works · 5.1% of their workEnvironmental Science: 1 works · 5.1% of their workEcology: 1 works · 5.1% of their workHealth Sciences: 1 works · 5.1% of their workMedicine: 1 works · 5.1% of their workHealth Informatics: 1 works · 5.1% of their workTHEIR WORKManisha SanjaySirsat15works
Life Sciences36%Physical Sciences26%Health Sciences5%

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. Agricultural and Biological Sciences530.8%
    2. Biochemistry, Genetics and Molecular Biology15.1%
  2. Everything else533.4%
    1. Computer Science320.5%
    2. Environmental Science15.1%
    1. Medicine15.1%
  1. 1Plant Science31% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Ecology5% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Health Informatics5% of their works
  6. 6Genetics5% of their works

Research topics

Which keywords describe Manisha Sanjay Sirsat's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Plant Disease Detection, Hyperparameter Optimization, Noisy Labels, Artificial Intelligence, Biosynthesis and Cuticular Wax.

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. Machine Learning103 topics
  2. Deep Learning61 topic
  3. Plant Disease Detection61 topic
  4. Hyperparameter Optimization31 topic
  5. Noisy Labels31 topic
  6. Artificial Intelligence21 topic
  7. Biosynthesis21 topic
  8. Cuticular Wax21 topic
  9. Dimensionality Reduction21 topic
  10. Face Recognition21 topic
  11. Functional–Structural Plant Modelling21 topic
  12. Healthcare21 topic
  13. Multivariate Calibration21 topic
  14. Near-Infrared Spectroscopy21 topic
  15. Plant Architecture21 topic
  16. Remote Sensing21 topic
  17. Vegetation Monitoring21 topic

Where does Manisha Sanjay Sirsat work?

Manisha Sanjay Sirsat's main affiliation in the publication record is Universidade de Santiago de Compostela, Spain.

How many publications and citations does Manisha Sanjay Sirsat have?

OpenAlex counts 15 works and 1,029 citations for Manisha Sanjay Sirsat, an h-index of 9, ranking #1,356,331 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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