COVID-19 Digital Contact Tracing
COVID-19 Digital Contact Tracing is a research topic within Information Systems. Science Explorer counts 5.3k research works in it since 1967. 10.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the role of digital technologies, particularly contact tracing apps, in the public health response to the COVID-19 pandemic. It explores the ethical challenges, privacy concerns, adoption intention, and the use of mobile health apps in pandemic planning and response.
- Digital Technologies
- Contact Tracing Apps
- COVID-19
- Privacy Concerns
- Public Health Response
- Ethical Challenges
- Mobile Health Apps
- Surveillance Technologies
- Data Protection
- Adoption Intention
- Research works
- 5.3k fractional, since 1967
- In the world top 10%
- 548 per year above
- Top-10% rate
- 10.3% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +13% the tick is no change
- Largest producer
United States
28% of the 10 largest, 2022-now
Which countries lead COVID-19 Digital Contact Tracing research?
By volume, the United States and India publish the most (464 and 302 works in 2022-now).
By volume, 2022-now
- 1
United States 464 works
- 2
India 302 works
- 3
United Kingdom 172 works
- 4
China 155 works
- 5
Indonesia 147 works
- 6
Germany 121 works
- 7
Italy 81 works
- 8
Canada 76 works
- 9
Australia 73 works
- 10
Spain 58 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead COVID-19 Digital Contact Tracing research?
By volume in 2022-now, Design Intelligence (United States) publishes the most COVID-19 Digital Contact Tracing research, followed by University of Oxford and University of Indonesia.
By volume, 2022-now
- 1
Design Intelligence (United States)
United States 21 works
- 2
University of Oxford
United Kingdom 14 works
- 3
University of Indonesia
Indonesia 12 works
- 4
Amity University
India 11 works
- 5
World Health Organization
Switzerland 11 works
- 6
Johns Hopkins University
United States 10 works
- 7
University of North Carolina at Chapel Hill
United States 10 works
- 8
Harvard University
United States 9 works
- 9
University of Toronto
Canada 9 works
- 10
University College London
United Kingdom 8 works
Who are the leading researchers in COVID-19 Digital Contact Tracing?
The most-cited researchers publishing on COVID-19 Digital Contact Tracing include Yoshua Bengio, Richard M. Ryan and Martin McKee.
- 1
Yoshua Bengio
Canada 476k citations
- 2
Richard M. Ryan
United States 395k citations
- 3
Martin McKee
United Kingdom 270k citations
- 4
Florian Fischer
Germany 257k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is COVID-19 Digital Contact Tracing research done?
The largest centres of COVID-19 Digital Contact Tracing research in 2022-now are London (United Kingdom), Beijing (China), New Delhi (India) and New York (United States). Among places with at least 20 works in it, it is an unusually large share of all research in Norman.
Largest cities, 2022-now
- 1
London
United Kingdom 49 works
- 2
Beijing
China 29 works
- 3
New Delhi
India 28 works
- 4
New York
United States 27 works
- 5
Jakarta
Indonesia 27 works
- 6
Washington D.C.
United States 23 works
- 7
Norman
United States 22 works
- 8
Bengaluru
India 18 works
- 9
Tokyo
Japan 18 works
- 10
Singapore
Singapore 18 works
Where it is the local speciality
- NormanUS · 21.7 works24×
Location quotient: how much more of its research is in COVID-19 Digital Contact Tracing than the world average.
Where is the best place to study COVID-19 Digital Contact Tracing?
Among universities, judged by research, University of Oxford, Johns Hopkins University and Harvard 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.
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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of Oxford |
68.2 | 13.2% | 4.0× | 14 | -30.0% |
| 2 | Johns Hopkins University |
57.7 | 23.2% | 2.8× | 10 | -0.5% |
| 3 | Harvard University |
52.6 | 27.3% | 1.2× | 10 | -37.4% |
| 4 | Amity University |
38.2 | 3.9% | 11.1× | 11 | -17.0% |
| 5 | University of Toronto |
35.9 | 14.9% | 1.8× | 9 | -6.9% |
| 6 | University of Indonesia |
34.1 | 2.2% | 4.0× | 12 | +356.9% |
| 7 | University of North Carolina at Chapel Hill |
30.5 | 5.9% | 2.3× | 10 | +256.7% |
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 COVID-19 Digital Contact Tracing, country by countryIs COVID-19 Digital Contact Tracing research growing?
Output in 2022-2025 was 13% higher than in 2018-2021, peaking in 2021. The fastest-growing topics are COVID-19 Digital Contact Tracing.
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 COVID-19 Digital Contact Tracing as a percentage of every work published that year, 0.0064% in 2024.
Fractional works of COVID-19 Digital Contact Tracing 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.
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.
Discussion
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