Joshua Achiam: h-index, Total Citations, and Citation Map
Joshua Achiam's h-index is 8 (7 i10-index, 27,746+ total citations across 14+ publications) according to Google Scholar as of July 2026.
Joshua Achiam is a researcher affiliated with their institution, specializing in various fields. Their work has been cited 27,746 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Joshua Achiam's Citation Metrics
Bibliometric impact based on 14 indexed publications.
- H-Index
- 8
- i10-Index
- 7
- Total Citations
- 27,746
- Citing Countries
- 19
As of July 2026.
Joshua Achiam has an h-index of 8 and 27,746 total citations across 14 publications, with research cited by institutions in 19 countries.
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Evaluating Large Language Models Trained on Code
20211,403
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Joshua Achiam's research
Their work has been cited 27,746 times across 14 publications (h-index 8), according to Google Scholar.
Their most-cited work, “Evaluating Large Language Models Trained on Code” (2021), has accumulated 1,403 citations. Other influential works include “On First-Order Meta-Learning Algorithms” (2018) with 544 citations and “Constrained Policy Optimization” (2017) with 111 citations.
Citations of Joshua Achiam's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
