Science Explorer Back to mapMap
Discussion
Researcher · University of Pennsylvania · United States

Ari S. Benjamin

Ari S. Benjamin publishes mostly in Cognitive Neuroscience, Artificial Intelligence and Molecular Biology, on topics such as Neural dynamics and brain function, Neural Networks and Applications and EEG and Brain-Computer Interfaces.

ORCID 0000-0001-9241-9615 OpenAlex
World rank
#1,899,771
of 7,710,434 ranked researchers
Rank in United States
#580,355
of 1,627,098
Works
32
Citations
523
Citations per work
16.3
h-index
11
i10-index 11Top 59% in Cognitive Neuroscience
Ari S. Benjamin

What does Ari S. Benjamin research?

Ari S. Benjamin's work is mostly in Neuroscience (30%), Computer Science (20%), Biochemistry, Genetics and Molecular Biology (14%).

Life Sciences: 14 works · 44.5% of their workNeuroscience: 10 works · 30.4% of their workCognitive Neuroscience: 10 works · 30.4% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 14.1% of their workMolecular Biology: 3 works · 9.8% of their workBiophysics: 1 works · 4.3% of their workEverything else: 9 works · 28.3% of their workPhysical Sciences: 9 works · 27.2% of their workComputer Science: 6 works · 19.6% of their workArtificial Intelligence: 6 works · 19.6% of their workEngineering: 1 works · 4.3% of their workElectrical and Electronic Engineering: 1 works · 4.3% of their workChemistry: 1 works · 3.3% of their workOrganic Chemistry: 1 works · 3.3% of their workTHEIR WORKAri S. Benjamin32works
Life Sciences44%Physical Sciences27%

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. Neuroscience1030.4%
    2. Biochemistry, Genetics and Molecular Biology514.1%
  2. Everything else928.3%
    1. Computer Science619.6%
    2. Engineering14.3%
    3. Chemistry13.3%
  1. 1Cognitive Neuroscience30% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Molecular Biology10% of their works
  4. 4Biophysics4% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Organic Chemistry3% of their works

Research topics

Which keywords describe Ari S. Benjamin's research?

The keywords of their largest research topics: Cortical Networks, Deep Learning, Neural Networks, Neuronal Oscillations, Backpropagation Learning, Self-Organizing Maps, Brain-Computer Interfaces and EEG 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 18 words, with their numbers
  1. Cortical Networks121 topic
  2. Deep Learning122 topics
  3. Neural Networks122 topics
  4. Neuronal Oscillations121 topic
  5. Backpropagation Learning81 topic
  6. Self-Organizing Maps81 topic
  7. Brain-Computer Interfaces51 topic
  8. EEG Analysis51 topic
  9. Bioimage Analysis41 topic
  10. Domain Adaptation41 topic
  11. High-Content Screening41 topic
  12. Memristor41 topic
  13. Neural Processing41 topic
  14. Neuromorphic Computing41 topic
  15. Single-Cell41 topic
  16. Transcriptomics41 topic
  17. Transfer Learning41 topic
  18. Visual Perception41 topic

Where does Ari S. Benjamin work?

Ari S. Benjamin's main affiliation in the publication record is University of Pennsylvania, United States.

How many publications and citations does Ari S. Benjamin have?

OpenAlex counts 32 works and 523 citations for Ari S. Benjamin, an h-index of 11, ranking #1,899,771 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

Ask a question or share a note about Ari S. Benjamin. Posts are plain text and can be reported.