Atlas report
Who works on Domain Adaptation and Few-Shot Learning, and where
Among doctoral starts, Domain Adaptation and Few-Shot Learning takes 1.7 times the share it took over the previous three years, +21 543 people.
The short answer
27 039 indexed researchers with a known country work on Domain Adaptation and Few-Shot Learning; the subject takes 2.5% of all subject assignments in the index.
Among doctoral starts, Domain Adaptation and Few-Shot Learning takes 1.7 times the share it took over the previous three years, +21 543 people.
Relative to its size, Hong Kong leans hardest on Domain Adaptation and Few-Shot Learning: 3.8% of its subject assignments, 1.5 times the world share.
What stands out
Since 2024, Domain Adaptation and Few-Shot Learning drew 10 110 newcomers against 4 508 in the previous window, a ratio of 2.2 where the average subject sits at 1.6.
By country
China and the United States hold 63% of the people working on Domain Adaptation and Few-Shot Learning, more than the 53% the same two countries hold across all subjects.
Country reports: China, United States, United Kingdom, Germany, India.
| Country | Researchers | Share of the subject | Share of the country's researchers |
|---|---|---|---|
| China | 11 020 | 41% | 3.3% |
| United States | 5 946 | 22% | 2.4% |
| South Korea | 1 145 | 4.2% | 3.6% |
| United Kingdom | 1 038 | 3.8% | 2.3% |
| Germany | 811 | 3.0% | 1.6% |
| Canada | 723 | 2.7% | 2.7% |
| Hong Kong | 696 | 2.6% | 3.8% |
| India | 617 | 2.3% | 1.7% |
| France | 509 | 1.9% | 1.8% |
| Australia | 501 | 1.9% | 2.8% |
| Japan | 445 | 1.6% | 2.1% |
| Singapore | 443 | 1.6% | 3.1% |
Newcomers by year
The 2025 intake for Domain Adaptation and Few-Shot Learning was 0.8 times the average of the three previous years, against 0.7 worldwide.
710 researchers on Domain Adaptation and Few-Shot Learning declare a doctorate in progress on their ORCID record, started and without an end date yet.
On 902 dated profiles, the median time from first paper to defence on Domain Adaptation and Few-Shot Learning is 5.0 years.
| First publication | New on Domain Adaptation and Few-Shot Learning | Share of the world's newcomers |
|---|---|---|
| 2019 | 1 091 | 7.0% |
| 2020 | 1 067 | 6.5% |
| 2021 | 1 218 | 6.5% |
| 2022 | 1 817 | 6.5% |
| 2023 | 1 473 | 6.3% |
| 2024 | 1 063 | 4.6% |
| 2025 | 1 223 | 6.6% |
Compared with subjects of the same size
Set against Generative Adversarial Networks and Image Synthesis and Adversarial Robustness in Machine Learning, two subjects of similar headcount, the difference is the pace of entry.
| Domain Adaptation and Few-Shot Learning | Generative Adversarial Networks and Image Synthesis | Adversarial Robustness in Machine Learning | |
|---|---|---|---|
| Researchers | 27 039 | 26 402 | 21 043 |
| Largest country | China | China | United States |
| Newcomers, recent against previous window | 2.2 | 2.8 | 2.5 |
Method
Subjects follow the OpenAlex taxonomy, on the profiles that carry one; a person can carry several, so shares are shares of subject assignments. A country is where the institution sits. Newcomers are dated by first publication, and a doctorate in progress is a junior profile with a first publication and no dated defence. The index is built from arXiv, OpenAlex, ORCID and DBLP and grows every night. See the atlas, how to find and hire AI researchers and how long an AI doctorate takes.
Common questions
- How many researchers work on Domain Adaptation and Few-Shot Learning?
- 27 039 researchers in the Founding Hires index carry Domain Adaptation and Few-Shot Learning as a subject, across the largest countries, as of September 2026. Worldwide the subject holds 2.5% of all subject assignments.
- Which countries lead on Domain Adaptation and Few-Shot Learning?
- China (11 020), United States (5 946), South Korea (1 145).
- Is Domain Adaptation and Few-Shot Learning growing?
- Yes, faster than the world. Since 2024, 10 110 people in Domain Adaptation and Few-Shot Learning published for the first time, against 4 508 over the three years before, a ratio of 2.2 where the world sits at 1.6.
- How many doctorates on Domain Adaptation and Few-Shot Learning are in progress?
- 710 researchers on Domain Adaptation and Few-Shot Learning declare a doctorate in progress on their ORCID record, started and without an end date yet.
The names behind the numbers
Every count on this page is a list in the index.
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