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Researcher · University of Virginia · United States

Adam T. Barth

Adam T. Barth publishes mostly in Biomedical Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as Wireless Body Area Networks, Energy Efficient Wireless Sensor Networks and Context-Aware Activity Recognition Systems.

OpenAlex
World rank
#2,046,500
of 7,710,434 ranked researchers
Rank in United States
#619,598
of 1,627,098
Works
22
Citations
1.7k
Citations per work
75.6
h-index
13
i10-index 14Top 45% in Biomedical Engineering
Adam T. Barth

What does Adam T. Barth research?

Adam T. Barth's work is mostly in Engineering (39%), Computer Science (27%), Health Professions (4%).

Physical Sciences: 15 works · 66.7% of their workEngineering: 9 works · 39.4% of their workBiomedical Engineering: 8 works · 36.4% of their workElectrical and Electronic Engineering: 1 works · 3.0% of their workComputer Science: 6 works · 27.3% of their workComputer Networks and Communications: 3 works · 15.2% of their workComputer Vision and Pattern Recognition: 3 works · 12.1% of their workEverything else: 5 works · 24.3% of their workHealth Sciences: 2 works · 9.0% of their workHealth Professions: 1 works · 4.5% of their workGeneral Health Professions: 1 works · 4.5% of their workMedicine: 1 works · 4.5% of their workPsychiatry and Mental health: 1 works · 4.5% of their workTHEIR WORKAdam T. Barth22works
Physical Sciences67%Health Sciences9%

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. Engineering939.4%
    2. Computer Science627.3%
  2. Everything else524.3%
    1. Health Professions14.5%
    2. Medicine14.5%
  1. 1Biomedical Engineering36% of their works
  2. 2Computer Networks and Communications15% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Psychiatry and Mental health4% of their works
  5. 5General Health Professions4% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Adam T. Barth's research?

The keywords of their largest research topics: Wearable Sensors, Health Monitoring, MAC Protocols, Channel Modeling, Deep Learning, Implantable Antennas, Wireless Body Area Networks and Activity Recognition.

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 21 words, with their numbers
  1. Wearable Sensors213 topics
  2. Health Monitoring182 topics
  3. MAC Protocols182 topics
  4. Channel Modeling152 topics
  5. Deep Learning112 topics
  6. Implantable Antennas101 topic
  7. Wireless Body Area Networks101 topic
  8. Activity Recognition81 topic
  9. Energy-Efficient Protocols81 topic
  10. Pervasive Computing81 topic
  11. Wireless Sensor Networks81 topic
  12. Molecular Communication51 topic
  13. Nanonetworks51 topic
  14. Gait Recognition31 topic
  15. Human Identification31 topic
  16. Photoplethysmography31 topic
  17. Remote Monitoring31 topic
  18. Cerebrospinal Fluid21 topic
  19. Electromyography21 topic
  20. Glymphatic System21 topic
  21. Muscle Fatigue21 topic

Where does Adam T. Barth work?

Adam T. Barth's main affiliation in the publication record is University of Virginia, United States.

How many publications and citations does Adam T. Barth have?

OpenAlex counts 22 works and 1,663 citations for Adam T. Barth, an h-index of 13, ranking #2,046,500 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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