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Research facility · Dublin · Ireland

Clarity Centre for Sensor Web Technologies

In research, Clarity Centre for Sensor Web Technologies stands highest in Physical Sciences (#12,522 of 21,541 worldwide), over all time. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science — Computer Vision and Pattern Recognition is 16.3× its share of world research.

World rank, all time
#21,521
of 42,892
Rank in Ireland
#68
of 152
Research works
221
▼ 93% vs 2013–17
Citations
6k
27.3 per fractional work
Top-10% rate
0.0%
record average 16.5%
Open access
54%
world 28%

What is Clarity Centre for Sensor Web Technologies known for in research?

The fields where it stands highest, over all time, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorks
Physical SciencesDomain #12,522 of 21,541 31.1%181

Each strip is that field’s whole ranked pool, with the notch where Clarity Centre for Sensor Web Technologies sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).

What does Clarity Centre for Sensor Web Technologies specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 16.3× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 36.3 works16×
  2. Computer ScienceField · 101.0 works6.8×
← less than its size predictsmore →

Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Which keywords describe research at Clarity Centre for Sensor Web Technologies?

By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Health Monitoring, Wearable Sensors, Biosensors, Wireless Sensor Networks, Environmental Monitoring and Activity Recognition.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in all years in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Deep Learning39▲ 8.3×31 topics
  2. Neural Networks14▲ 6.2×14 topics
  3. Health Monitoring13▲ 40×3 topics
  4. Wearable Sensors12▲ 59×3 topics
  5. Biosensors11▲ 8.4×7 topics
  6. Wireless Sensor Networks10▲ 12×6 topics
  7. Environmental Monitoring10▲ 15×7 topics
  8. Machine Learning9▲ 1.89×17 topics
  9. Activity Recognition8▲ 118×1 topic
  10. Pervasive Computing8▲ 118×1 topic
  11. Content-Based Retrieval8▲ 137×1 topic
  12. Information Retrieval8▲ 26×5 topics
  13. Video Summarization8▲ 137×1 topic
  14. Ion-Selective Electrodes8▲ 37×1 topic
  15. Optical Sensors8▲ 26×1 topic
  16. Clustering Algorithms8▲ 33×2 topics
  17. MAC Protocols8▲ 43×2 topics
  18. Data Aggregation7▲ 55×2 topics
  19. Energy-Efficient Protocols7▲ 65×1 topic
  20. Routing Techniques7▲ 65×1 topic
  21. Lab-on-a-Chip6▲ 19×4 topics
  22. Social Media6▲ 3.4×5 topics
  23. Sensor Networks6▲ 12×4 topics
  24. Energy Management5▲ 19×2 topics
  25. Feature Matching5▲ 35×1 topic
  26. Local Descriptors5▲ 35×1 topic
  27. Convolutional Neural Networks4▲ 4.7×5 topics
  28. Collaborative Filtering4▲ 88×1 topic
  29. Electrochemistry4▲ 9.4×3 topics
  30. Matrix Factorization4▲ 88×1 topic
  31. IoT4▲ 8.7×4 topics
  32. Convolutional Networks4▲ 16×3 topics
  33. Multi-Agent Systems4▲ 9.2×4 topics
  34. Biological Applications4▲ 14×3 topics
  35. User Experience4▲ 29×2 topics
  36. Point-of-Care Diagnostics4▲ 19×2 topics
  37. User Interaction4▲ 33×2 topics
  38. Participatory Design4▲ 42×2 topics
  39. Nanogenerators3▲ 18×1 topic
  40. Wearable3▲ 18×1 topic

Which research topics does Clarity Centre for Sensor Web Technologies publish most on?

By volume in 2022–2025: Biosensors and Analytical Detection, SARS-CoV-2 detection and testing, Landfill Environmental Impact Studies and Indoor Air Quality and Microbial Exposure.

  1. 1 Biosensors and Analytical Detection Biomedical Engineering 0 works
  2. 2 SARS-CoV-2 detection and testing Infectious Diseases 0 works
  3. 3 Landfill Environmental Impact Studies Industrial and Manufacturing Engineering 0 works
  4. 4 Indoor Air Quality and Microbial Exposure Health, Toxicology and Mutagenesis 0 works
  5. 5 Mobile Crowdsensing and Crowdsourcing Computer Science Applications 0 works
  6. 6 Air Quality Monitoring and Forecasting Environmental Engineering 0 works
  7. 7 Water Systems and Optimization Civil and Structural Engineering 0 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available54.4%not open45.6%

World: 28% of research is openly available.

with international co-authors19.3%domestic only80.7%

World: 19% is written across borders.

How has Clarity Centre for Sensor Web Technologies's research output changed?

Output in 2018–2022 was 93% lower than in 2013–2017.

2005201020152020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Dublin

All research institutions in Dublin

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.