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Researcher · Northern Illinois University · United States

Abdul Rahman Shaikh

Abdul Rahman Shaikh publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science, on topics such as Data Visualization and Analytics, Agronomic Practices and Intercropping Systems and Image and Video Quality Assessment.

ORCID 0000-0002-6046-4638 OpenAlex
World rank
#5,200,943
of 7,710,434 ranked researchers
Rank in United States
#1,334,707
of 1,627,098
Works
20
Citations
72
Citations per work
3.6
h-index
4
i10-index 3Top 94% in Computer Vision and Pattern Recognition
Abdul Rahman Shaikh

What does Abdul Rahman Shaikh research?

Abdul Rahman Shaikh's work is mostly in Computer Science (33%), Agricultural and Biological Sciences (19%), Social Sciences (11%).

Physical Sciences: 7 works · 33.3% of their workComputer Science: 7 works · 33.3% of their workComputer Vision and Pattern Recognition: 4 works · 18.5% of their workArtificial Intelligence: 3 works · 14.8% of their workEverything else: 6 works · 31.4% of their workLife Sciences: 4 works · 18.6% of their workAgricultural and Biological Sciences: 4 works · 18.6% of their workPlant Science: 3 works · 13.0% of their workAgronomy and Crop Science: 1 works · 5.6% of their workSocial Sciences: 3 works · 16.7% of their workSocial Sciences: 2 works · 11.1% of their workSociology and Political Science: 2 works · 11.1% of their workDecision Sciences: 1 works · 5.6% of their workInformation Systems and Management: 1 works · 5.6% of their workTHEIR WORKAbdul RahmanShaikh20works
Life Sciences19%Physical Sciences33%Social Sciences17%

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. Computer Science733.3%
  2. Everything else631.4%
    1. Agricultural and Biological Sciences418.6%
    1. Social Sciences211.1%
    2. Decision Sciences15.6%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Plant Science13% of their works
  4. 4Sociology and Political Science11% of their works
  5. 5Agronomy and Crop Science6% of their works
  6. 6Information Systems and Management6% of their works

Research topics

Which keywords describe Abdul Rahman Shaikh's research?

The keywords of their largest research topics: Information Visualization, Visual Analytics, Deep Learning, Sustainable Agriculture, Agricultural Productivity, Image Quality Assessment, Intercropping and Perceptual Quality.

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 18 words, with their numbers
  1. Information Visualization61 topic
  2. Visual Analytics61 topic
  3. Deep Learning52 topics
  4. Sustainable Agriculture52 topics
  5. Agricultural Productivity31 topic
  6. Image Quality Assessment31 topic
  7. Intercropping31 topic
  8. Perceptual Quality31 topic
  9. Reproducibility31 topic
  10. Scientific Workflows31 topic
  11. Banana21 topic
  12. Bioimage Analysis21 topic
  13. Breeding21 topic
  14. Crop Productivity21 topic
  15. Genetics21 topic
  16. High-Content Screening21 topic
  17. Okra Genetics21 topic
  18. Soil Fertility21 topic

Where does Abdul Rahman Shaikh work?

Abdul Rahman Shaikh's main affiliation in the publication record is Northern Illinois University, United States.

How many publications and citations does Abdul Rahman Shaikh have?

OpenAlex counts 20 works and 72 citations for Abdul Rahman Shaikh, an h-index of 4, ranking #5,200,943 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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