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Researcher · Cooper Union · United States

Sam M. Keene

Sam M. Keene publishes mostly in Signal Processing, Cognitive Neuroscience and Computer Networks and Communications, on topics such as EEG and Brain-Computer Interfaces, Music and Audio Processing and Wireless Networks and Protocols.

OpenAlex
World rank
#3,325,138
of 7,710,434 ranked researchers
Rank in United States
#938,551
of 1,627,098
Works
34
Citations
658
Citations per work
19.4
h-index
10
i10-index 10Top 42% in Signal Processing
Sam M. Keene

What does Sam M. Keene research?

Sam M. Keene's work is mostly in Computer Science (36%), Neuroscience (11%), Engineering (9%).

Physical Sciences: 16 works · 45.6% of their workComputer Science: 12 works · 36.5% of their workComputer Networks and Communications: 4 works · 11.4% of their workSignal Processing: 4 works · 11.4% of their workArtificial Intelligence: 3 works · 8.0% of their workComputer Vision and Pattern Recognition: 2 works · 5.7% of their workEngineering: 3 works · 9.1% of their workElectrical and Electronic Engineering: 3 works · 9.1% of their workEverything else: 15 works · 43.0% of their workLife Sciences: 4 works · 11.4% of their workNeuroscience: 4 works · 11.4% of their workCognitive Neuroscience: 4 works · 11.4% of their workTHEIR WORKSam M. Keene34works
Life Sciences11%Physical Sciences46%

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 Science1236.5%
    2. Engineering39.1%
  2. Everything else1543.0%
    1. Neuroscience411.4%
  1. 1Signal Processing11% of their works
  2. 2Cognitive Neuroscience11% of their works
  3. 3Computer Networks and Communications11% of their works
  4. 4Electrical and Electronic Engineering9% of their works
  5. 5Artificial Intelligence8% of their works
  6. 6Computer Vision and Pattern Recognition6% of their works

Research topics

Which keywords describe Sam M. Keene's research?

The keywords of their largest research topics: Deep Learning, Audio Signal Classification, Brain-Computer Interfaces, EEG Analysis, Music Information Retrieval, Neural Networks, IEEE 802.11 and MAC Protocol.

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 18 words, with their numbers
  1. Deep Learning103 topics
  2. Audio Signal Classification51 topic
  3. Brain-Computer Interfaces51 topic
  4. EEG Analysis51 topic
  5. Music Information Retrieval51 topic
  6. Neural Networks52 topics
  7. IEEE 802.1141 topic
  8. MAC Protocol41 topic
  9. Audio-Visual Speech Recognition31 topic
  10. Cellular Networks31 topic
  11. Interactive Evolutionary Computation31 topic
  12. Massive MIMO31 topic
  13. Music Generation31 topic
  14. Speech Enhancement31 topic
  15. Backpropagation Learning21 topic
  16. Cortical Networks21 topic
  17. Neuronal Oscillations21 topic
  18. Self-Organizing Maps21 topic

Where does Sam M. Keene work?

Sam M. Keene's main affiliation in the publication record is Cooper Union, United States.

How many publications and citations does Sam M. Keene have?

OpenAlex counts 34 works and 658 citations for Sam M. Keene, an h-index of 10, ranking #3,325,138 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.

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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