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Researcher · Oak Ridge National Laboratory · United States

Sajal Dash

Sajal Dash publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Advanced Neural Network Applications, Scientific Computing and Data Management and Cancer Genomics and Diagnostics.

ORCID 0000-0001-5308-914X OpenAlex
World rank
#4,323,613
of 7,710,434 ranked researchers
Rank in United States
#1,160,494
of 1,627,098
Works
47
Citations
249
Citations per work
5.3
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Sajal Dash

What does Sajal Dash research?

Sajal Dash's work is mostly in Computer Science (48%), Biochemistry, Genetics and Molecular Biology (17%), Decision Sciences (5%).

Physical Sciences: 22 works · 47.6% of their workComputer Science: 22 works · 47.6% of their workArtificial Intelligence: 10 works · 21.8% of their workComputer Vision and Pattern Recognition: 8 works · 16.1% of their workComputer Networks and Communications: 5 works · 9.7% of their workEverything else: 14 works · 30.7% of their workLife Sciences: 8 works · 16.9% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 16.9% of their workMolecular Biology: 6 works · 12.1% of their workCancer Research: 2 works · 4.8% of their workSocial Sciences: 2 works · 4.8% of their workDecision Sciences: 2 works · 4.8% of their workInformation Systems and Management: 2 works · 4.8% of their workTHEIR WORKSajal Dash47works
Life Sciences17%Physical Sciences48%Social 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. Computer Science2247.6%
  2. Everything else1430.7%
    1. Biochemistry, Genetics and Molecular Biology816.9%
    1. Decision Sciences24.8%
  1. 1Artificial Intelligence22% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Molecular Biology12% of their works
  4. 4Computer Networks and Communications10% of their works
  5. 5Cancer Research5% of their works
  6. 6Information Systems and Management5% of their works

Research topics

Which keywords describe Sajal Dash's research?

The keywords of their largest research topics: Bioinformatics, Convolutional Neural Networks, Deep Learning, Reproducibility, Scientific Workflows, Cancer Genomics, Mutational Signatures and Neural Machine Translation.

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. Bioinformatics102 topics
  2. Convolutional Neural Networks81 topic
  3. Deep Learning81 topic
  4. Reproducibility61 topic
  5. Scientific Workflows61 topic
  6. Cancer Genomics51 topic
  7. Mutational Signatures51 topic
  8. Neural Machine Translation51 topic
  9. Neural Networks51 topic
  10. Parallel Computing51 topic
  11. Performance Optimization51 topic
  12. Statistical Machine Translation51 topic
  13. Word Representation51 topic
  14. Gene Expression41 topic
  15. Gene Set Enrichment Analysis41 topic
  16. Microarray41 topic
  17. Protein-Protein Interaction Networks41 topic

Where does Sajal Dash work?

Sajal Dash's main affiliation in the publication record is Oak Ridge National Laboratory, United States.

How many publications and citations does Sajal Dash have?

OpenAlex counts 47 works and 249 citations for Sajal Dash, an h-index of 10, ranking #4,323,613 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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