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Researcher · University of Cambridge · United Kingdom

Nicholas D. Lane

Nicholas D. Lane publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Advanced Neural Network Applications, Context-Aware Activity Recognition Systems and Mobile Crowdsensing and Crowdsourcing.

ORCID 0000-0002-2728-8273 OpenAlex
World rank
#39,522
of 7,710,434 ranked researchers
Rank in United Kingdom
#3,107
of 367,258
Works
296
Citations
17k
Citations per work
58.8
h-index
61
i10-index 149Top 0.6% in Computer Vision and Pattern Recognition
Nicholas D. Lane

What does Nicholas D. Lane research?

Nicholas D. Lane's work is mostly in Computer Science (65%), Engineering (9%).

Physical Sciences: 218 works · 73.6% of their workComputer Science: 192 works · 64.8% of their workComputer Vision and Pattern Recognition: 70 works · 23.8% of their workArtificial Intelligence: 64 works · 21.5% of their workComputer Networks and Communications: 25 works · 8.5% of their workSignal Processing: 19 works · 6.3% of their workComputer Science Applications: 14 works · 4.7% of their workEngineering: 26 works · 8.8% of their workElectrical and Electronic Engineering: 26 works · 8.8% of their workEverything else: 78 works · 26.4% of their workTHEIR WORKNicholas D. Lane296works
Physical Sciences74%

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 Science19264.8%
    2. Engineering268.8%
  2. Everything else7826.4%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Electrical and Electronic Engineering9% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Signal Processing6% of their works
  6. 6Computer Science Applications5% of their works

Research topics

Which keywords describe Nicholas D. Lane's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Object Detection, Activity Recognition, Pervasive Computing, Crowdsourcing and Mechanical Turk.

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. Deep Learning1875 topics
  2. Convolutional Neural Networks832 topics
  3. Image Recognition591 topic
  4. Object Detection591 topic
  5. Activity Recognition551 topic
  6. Pervasive Computing551 topic
  7. Crowdsourcing391 topic
  8. Mechanical Turk391 topic
  9. Differential Privacy321 topic
  10. Federated Learning321 topic
  11. GPS Data321 topic
  12. Human Mobility321 topic
  13. Edge Computing271 topic
  14. Internet of Things271 topic
  15. Audio Signal Classification241 topic
  16. Music Information Retrieval241 topic
  17. Audio-Visual Speech Recognition221 topic
  18. Speech Enhancement221 topic

Where does Nicholas D. Lane work?

Nicholas D. Lane's main affiliation in the publication record is University of Cambridge, United Kingdom.

How many publications and citations does Nicholas D. Lane have?

OpenAlex counts 296 works and 17,410 citations for Nicholas D. Lane, an h-index of 61, ranking #39,522 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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