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Gaze Tracking and Assistive Technology

Gaze Tracking and Assistive Technology is a research topic within Human-Computer Interaction. Science Explorer counts 26k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of eye tracking technology in human-computer interaction research, usability evaluation, and assistive technology. It covers topics such as gaze estimation, eye movement analysis, remote gaze estimation, pupil detection, head gesture recognition, and its applications in virtual reality.

  • Eye Tracking
  • Gaze Estimation
  • Human-Computer Interaction
  • Usability Research
  • Eye Movement Analysis
  • Assistive Technology
  • Remote Gaze Estimation
  • Pupil Detection
  • Head Gesture Recognition
  • Virtual Reality
Research works
26k
fractional, since 1950
In the world top 10%
2.5k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+18%
the tick is no change
Largest producer
China
33% of the 10 largest, 2022-now
Gaze Tracking and Assistive Technology

Which countries lead Gaze Tracking and Assistive Technology research?

By volume, China and India publish the most (1.7k and 898 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.7k works
  2. 2 India 898 works
  3. 3 United States 824 works
  4. 4 Japan 501 works
  5. 5 Germany 302 works
  6. 6 United Kingdom 205 works
  7. 7 South Korea 201 works
  8. 8 Canada 155 works
  9. 9 Italy 141 works
  10. 10 Indonesia 135 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 33.0%India: 17.9%United States: 16.4%Japan: 10.0%6 others listed: 22.7%33%largest
China1,655 · 33.0%India898 · 17.9%United States824 · 16.4%Japan501 · 10.0%6 others listed1,139 · 22.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Gaze Tracking and Assistive Technology research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Gaze Tracking and Assistive Technology research, followed by SRM Institute of Science and Technology and Shanghai Jiao Tong University.

Who are the leading researchers in Gaze Tracking and Assistive Technology?

The most-cited researchers publishing on Gaze Tracking and Assistive Technology include Zhong Lin Wang, Andrew Zisserman and Li Fei-Fei.

  1. 1 Zhong Lin Wang United States 491k citations
  2. 2 Andrew Zisserman United Kingdom 255k citations
  3. 3 Li Fei-Fei United States 225k citations
  4. 4 Kai You Wang China 224k citations
  5. 5 Trevor J. Darrell United States 206k citations
  6. 6 Seeram Ramakrishna Singapore 186k citations
  7. 7 Luc Van Gool Switzerland 177k citations
  8. 8 Chris Frith United Kingdom 175k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Gaze Tracking and Assistive Technology?

The most cited paper in Gaze Tracking and Assistive Technology is "Eye movements in reading and information processing: 20 years of research." (Keith Rayner, 1998), with 7,711 citations. Next come "Cognitive Architecture and Instructional Design" (5,786) and "A new method for off-line removal of ocular artifact" (5,130).

Most cited papers
#PaperReleasedCitations
1 Eye movements in reading and information processing: 20 years of research. Keith Rayner · Psychological Bulletin Nov 1998 7,711
2 Cognitive Architecture and Instructional Design John Sweller, Jeroen J. G. van Merriënboer, FRED G. W. C. PAAS · Educational Psychology Review Sep 1998 5,786
3 A new method for off-line removal of ocular artifact Gabriele Gratton, MICHAEL G. H. COLES, Emanuel Donchin · Electroencephalography and Clinical Neurophysiology Apr 1983 5,130
4 EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces Vernon J Lawhern, Amelia J Solon, Nicholas R Waytowich et al. · Journal of Neural Engineering Open access 22 Jun 2018 4,722
5 Pfinder: real-time tracking of the human body Christopher R. Wren, Ali J. Azarbayejani, Trevor J. Darrell et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence Jul 1997 4,175
All 100 most cited papers, with filters and sorting

Where is Gaze Tracking and Assistive Technology research done?

The largest centres of Gaze Tracking and Assistive Technology research in 2022-now are Beijing (China), Tokyo (Japan), Shanghai (China) and Chennai (India).

Largest cities, 2022-now

  1. 1 BeijingChina 288 works
  2. 2 TokyoJapan 187 works
  3. 3 ShanghaiChina 133 works
  4. 4 ChennaiIndia 123 works
  5. 5 Xi'anChina 102 works
  6. 6 NanjingChina 96 works
  7. 7 SeoulSouth Korea 89 works
  8. 8 HangzhouChina 83 works
  9. 9 TianjinChina 74 works
  10. 10 CoimbatoreIndia 65 works
See Gaze Tracking and Assistive Technology on the map

Where is the best place to study Gaze Tracking and Assistive Technology?

Among universities, judged by research, Shanghai Jiao Tong University, Southeast University and Nanyang Technological University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%30%mean 22.37%fractional works in this field (log) →share of work in the world top 10% →Nanyang Technologica…Shanghai Jiao Tong U…Southeast UniversityBeihang University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Shanghai Jiao Tong UniversityChina 79.923.2%2.0×34 +32.0%
2Southeast UniversityChina 75.422.0%3.9×34 +67.5%
3Nanyang Technological UniversitySingapore 75.025.3%4.0×19 +38.2%
4Beihang UniversityChina 69.318.5%4.4×29 +81.9%
5Tsinghua UniversityChina 67.617.4%2.2×29 +37.6%
6Utrecht UniversityNetherlands 65.224.8%2.5×11 +12.5%
7Hangzhou Dianzi UniversityChina 64.522.6%8.3×16 +115.0%
8Texas State UniversityUnited States 64.524.3%16.4×11 +198.4%
9University of Science and Technology of ChinaChina 61.823.7%2.0×14 +129.2%
10Lund UniversitySweden 61.821.9%2.9×10 +29.1%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Gaze Tracking and Assistive Technology, country by country

Is Gaze Tracking and Assistive Technology research growing?

Output in 2022-2025 was 18% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Gaze Tracking and Assistive Technology.

still counting19801990200020102020
grewheldshrank

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

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Gaze Tracking and Assistive Technology as a percentage of every work published that year, 0.028% in 2024.

still counting0.020%0.040%Gaze Tracking and Assistive Technology0.031% in 202519801990200020102020

Fractional works of Gaze Tracking and Assistive Technology over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Gaze Tracking and Assistive Technology9.8% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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