BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Impact in
- Journal
- arXiv (Cornell University)
In The Last Decade
doi.org/10.4230/oasics.commit2data.3 →Countries where authors are citing BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
This map shows the geographic impact of BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by BLOOM: A 176B-Parameter Open-Access Multilingual Language Model with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model more than expected).
Fields of papers citing BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
This network shows the impact of BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.
About BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
This paper, published in 2022, received 174 indexed citations . Written by Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić and Daniel Hesslow. It is primarily cited by scholars working on Artificial Intelligence (121 citations), Health Informatics (23 citations), Computer Vision and Pattern Recognition (18 citations), Molecular Biology (12 citations) and Information Systems (10 citations). Published in arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.4230/oasics.commit2data.3.