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Researcher · Bennett University · India

Mohit Agarwal

Mohit Agarwal publishes mostly in Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence, on topics such as Smart Agriculture and AI, Spectroscopy and Chemometric Analyses and EEG and Brain-Computer Interfaces.

ORCID 0000-0001-7216-3886 OpenAlex
World rank
#904,538
of 7,710,434 ranked researchers
Rank in India
#12,360
of 280,097
Works
102
Citations
2.7k
Citations per work
26.3
h-index
24
i10-index 38Top 8.9% in Computer Vision and Pattern Recognition
Mohit Agarwal

What does Mohit Agarwal research?

Mohit Agarwal's work is mostly in Computer Science (24%), Agricultural and Biological Sciences (12%), Neuroscience (6%).

Everything else: 49 works · 48.2% of their workPhysical Sciences: 34 works · 33.7% of their workComputer Science: 24 works · 23.7% of their workComputer Vision and Pattern Recognition: 13 works · 13.1% of their workArtificial Intelligence: 11 works · 10.6% of their workChemistry: 5 works · 5.0% of their workAnalytical Chemistry: 5 works · 5.0% of their workEngineering: 5 works · 5.0% of their workElectrical and Electronic Engineering: 5 works · 5.0% of their workLife Sciences: 18 works · 18.1% of their workAgricultural and Biological Sciences: 12 works · 11.7% of their workPlant Science: 12 works · 11.7% of their workNeuroscience: 7 works · 6.4% of their workCognitive Neuroscience: 7 works · 6.4% of their workTHEIR WORKMohit Agarwal102works
Life Sciences18%Physical Sciences34%

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 else4948.2%
    1. Computer Science2423.7%
    2. Chemistry55.0%
    3. Engineering55.0%
    1. Agricultural and Biological Sciences1211.7%
    2. Neuroscience76.4%
  1. 1Computer Vision and Pattern Recognition13% of their works
  2. 2Plant Science12% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Cognitive Neuroscience6% of their works
  5. 5Analytical Chemistry5% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe Mohit Agarwal's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Plant Disease Detection, Smart Farming, Convolutional Neural Networks, Medical Imaging, Transfer Learning and Multivariate Calibration.

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 21 words, with their numbers
  1. Deep Learning444 topics
  2. Machine Learning272 topics
  3. Plant Disease Detection211 topic
  4. Smart Farming211 topic
  5. Convolutional Neural Networks172 topics
  6. Medical Imaging162 topics
  7. Transfer Learning162 topics
  8. Multivariate Calibration141 topic
  9. Near-Infrared Spectroscopy141 topic
  10. Brain-Computer Interfaces101 topic
  11. COVID-19101 topic
  12. Chest X-Ray101 topic
  13. EEG Analysis101 topic
  14. Image Recognition71 topic
  15. Object Detection71 topic
  16. Brain Tumor61 topic
  17. Eye Tracking61 topic
  18. Gaze Estimation61 topic
  19. MRI61 topic
  20. Estimation51 topic
  21. Leaf Area51 topic

Where does Mohit Agarwal work?

Mohit Agarwal's main affiliation in the publication record is Bennett University, India.

How many publications and citations does Mohit Agarwal have?

OpenAlex counts 102 works and 2,684 citations for Mohit Agarwal, an h-index of 24, ranking #904,538 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 Mohit Agarwal

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