Atlas report

Who works on Multimodal Machine Learning Applications, and where

Among doctoral starts, Multimodal Machine Learning Applications takes 2.8 times the share it took over the previous three years, +51 917 people.

Published 23 September 2026.

Measured on the Founding Hires index of the AI research literature, 790 725 researchers, and refreshed every week.

The short answer

41 417 indexed researchers with a known country work on Multimodal Machine Learning Applications; the subject takes 3.8% of all subject assignments in the index.

Among doctoral starts, Multimodal Machine Learning Applications takes 2.8 times the share it took over the previous three years, +51 917 people.

Since 2024, Multimodal Machine Learning Applications drew 19 125 newcomers against 6 195 in the previous window, a ratio of 3.1 where the average subject sits at 1.6.

What stands out

Relative to its size, Hong Kong leans hardest on Multimodal Machine Learning Applications: 6.6% of its subject assignments, 1.7 times the world share.

In 2025, the last full year, Multimodal Machine Learning Applications gained 1.1 times as many new researchers as in an average year of the three before; the world figure is 0.7.

By country

China and the United States hold 66% of the people working on Multimodal Machine Learning Applications, more than the 53% the same two countries hold across all subjects.

Country reports: China, United States, Germany.

The twelve countries with the most researchers on Multimodal Machine Learning Applications.
CountryResearchersShare of the subjectShare of the country's researchers
China17 55542%5.3%
United States9 94424%3.9%
United Kingdom1 4803.6%3.3%
South Korea1 4543.5%4.6%
Hong Kong1 2022.9%6.6%
Germany1 0452.5%2.1%
India9182.2%2.5%
Canada8312.0%3.1%
Singapore8242.0%5.8%
Japan7261.8%3.4%
Australia5911.4%3.3%
France4731.1%1.7%

Newcomers by year

885 researchers on Multimodal Machine Learning Applications declare a doctorate in progress on their ORCID record, started and without an end date yet.

On 962 dated profiles, the median time from first paper to defence on Multimodal Machine Learning Applications is 5.0 years.

Researchers by year of first publication, up to 2025, the last full year indexed.
First publicationNew on Multimodal Machine Learning ApplicationsShare of the world's newcomers
20191 4729.4%
20201 4428.8%
20211 5958.5%
20222 3898.6%
20232 2119.5%
20241 9578.5%
20252 37313%

Compared with subjects of the same size

Advanced Neural Network Applications and Natural Language Processing Techniques are the subjects closest in size. The growth column is where they part. Reports: Natural Language Processing Techniques.

Three subjects of similar size, same measures.
Multimodal Machine Learning ApplicationsAdvanced Neural Network ApplicationsNatural Language Processing Techniques
Researchers41 41742 43649 397
Largest countryChinaChinaChina
Newcomers, recent against previous window3.11.31.2

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 Multimodal Machine Learning Applications?
41 417 researchers in the Founding Hires index carry Multimodal Machine Learning Applications as a subject, across the largest countries, as of September 2026. Worldwide the subject holds 3.8% of all subject assignments.
Which countries lead on Multimodal Machine Learning Applications?
China (17 555), United States (9 944), United Kingdom (1 480).
Is Multimodal Machine Learning Applications growing?
Yes, faster than the world. Since 2024, 19 125 people in Multimodal Machine Learning Applications published for the first time, against 6 195 over the three years before, a ratio of 3.1 where the world sits at 1.6.
How many doctorates on Multimodal Machine Learning Applications are in progress?
885 researchers on Multimodal Machine Learning Applications 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.

Search it by subject and country to find who leads the work today, and set an alert on the ones about to come free, for $179 a month or 149 € in the euro area. Or hand the search over and pay only when someone joins.