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Researcher · Louisiana State University · United States

Saurav Upadhyaya

Saurav Upadhyaya publishes mostly in Molecular Biology, Control and Systems Engineering and Building and Construction, on topics such as Machine Learning in Bioinformatics, vaccines and immunoinformatics approaches and T-cell and B-cell Immunology.

OpenAlex
World rank
#6,567,724
of 7,710,434 ranked researchers
Rank in United States
#1,532,803
of 1,627,098
Works
16
Citations
0
h-index
0
i10-index 0Top 100% in Molecular Biology
Saurav Upadhyaya

What does Saurav Upadhyaya research?

Saurav Upadhyaya's work is mostly in Computer Science (23%), Biochemistry, Genetics and Molecular Biology (19%), Engineering (19%).

Physical Sciences: 7 works · 41.6% of their workComputer Science: 4 works · 22.9% of their workArtificial Intelligence: 1 works · 8.3% of their workComputer Networks and Communications: 1 works · 8.3% of their workInformation Systems: 1 works · 6.3% of their workEngineering: 3 works · 18.7% of their workControl and Systems Engineering: 2 works · 10.4% of their workBuilding and Construction: 1 works · 8.3% of their workEverything else: 6 works · 39.6% of their workLife Sciences: 3 works · 18.8% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 18.8% of their workMolecular Biology: 3 works · 18.8% of their workTHEIR WORKSaurav Upadhyaya16works
Life Sciences19%Physical Sciences42%

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 Science422.9%
    2. Engineering318.7%
  2. Everything else639.6%
    1. Biochemistry, Genetics and Molecular Biology318.8%
  1. 1Molecular Biology19% of their works
  2. 2Control and Systems Engineering10% of their works
  3. 3Building and Construction8% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Computer Networks and Communications8% of their works
  6. 6Information Systems6% of their works

Research topics

Which keywords describe Saurav Upadhyaya's research?

The keywords of their largest research topics: Deep Learning, Epitope Prediction, Peptide-MHC Binding, Protein, Subcellular Localization, Foxp3, Grasping and Log Analysis.

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 Learning62 topics
  2. Epitope Prediction41 topic
  3. Peptide-MHC Binding41 topic
  4. Protein41 topic
  5. Subcellular Localization41 topic
  6. Foxp331 topic
  7. Grasping31 topic
  8. Log Analysis31 topic
  9. Motor Control31 topic
  10. Neural Networks31 topic
  11. Performance Prediction31 topic
  12. Reinforcement Learning31 topic
  13. Robot Learning31 topic
  14. Sensorimotor Learning31 topic
  15. TGF-ß31 topic
  16. Energy Efficiency21 topic
  17. Rebound Effect21 topic

Where does Saurav Upadhyaya work?

Saurav Upadhyaya's main affiliation in the publication record is Louisiana State University, United States.

How many publications and citations does Saurav Upadhyaya have?

OpenAlex counts 16 works and 0 citations for Saurav Upadhyaya, an h-index of 0, ranking #6,567,724 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.

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