From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4Artificial Intelligence · 2 works Computer Science · 2 works Materials Chemistry · 2 works Materials Science · 2 works

Works by year

2020s

20261 paper 20231 paper

Papers

The most cited first (OpenAlex and our library).

Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems (2023 · 13 citations)
This survey maps the field of automated scientific discovery along two strands that have so far developed largely apart.
The Past and Future of AI Scientists (2026)
This survey by Ross D. King reviews how AI has been used to automate science and outlines where the field is heading. It introduces no new dataset, model or benchmark. Instead, it offers a history, a taxonomy of scientific AI systems, and a research and governance agenda. The author separates four overlapping…

Co-authors here

1 co-author with a page, the most papers together first.

Sašo Džeroski

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Machine Learning: Machine Learning 2023

Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 3 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ross-king/

🧑‍🔬 Ross King

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Ross King

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by