Leo Gao

2.5k total citations · 2 hit papers
4 papers, 469 citations indexed

About

Leo Gao is a scholar working on Artificial Intelligence, Sociology and Political Science and Infectious Diseases. According to data from OpenAlex, Leo Gao has authored 4 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 0 papers in Infectious Diseases. Recurrent topics in Leo Gao's work include Topic Modeling (4 papers), Artificial Intelligence in Games (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). Leo Gao is often cited by papers focused on Topic Modeling (4 papers), Artificial Intelligence in Games (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). Leo Gao collaborates with scholars based in Canada, Japan and United States. Leo Gao's co-authors include Stella Biderman, Jason Phang, Laria Reynolds, Ben Wang, Quentin Anthony, Samuel Weinbach, Michael Pieler, Horace He, Kyle McDonell and Eric Nichols and has published in prestigious journals such as Frontiers in Computer Science, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Leo Gao

4 papers receiving 443 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GPT-NeoX-20B: An Open-Source Autoregressive Language Model

2022 235 citations Stella Biderman, Quentin Anthony et al. profile →
GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow

2021 215 citations Leo Gao, Stella Biderman et al. Zenodo (CERN European Organization for Nuclear Research) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Leo Gao Canada	4	359	94	68	37	27	4	469
Stella Biderman United States	7	565 1.6×	119 1.3×	98 1.4×	41 1.1×	33 1.2×	15	720
Junyi Jessy Li United States	15	421 1.2×	135 1.4×	33 0.5×	70 1.9×	29 1.1×	49	550
Alisa Liu United States	7	479 1.3×	70 0.7×	119 1.8×	17 0.5×	17 0.6×	10	607
Victor Sanh United States	7	561 1.6×	76 0.8×	147 2.2×	13 0.4×	22 0.8×	9	661
Laria Reynolds United States	3	247 0.7×	54 0.6×	39 0.6×	20 0.5×	15 0.6×	3	394
Kyle McDonell United Kingdom	2	247 0.7×	54 0.6×	39 0.6×	20 0.5×	15 0.6×	2	391
Wanjun Zhong China	11	411 1.1×	155 1.6×	65 1.0×	14 0.4×	12 0.4×	36	543
Austin Z. Henley United States	10	129 0.4×	178 1.9×	45 0.7×	52 1.4×	30 1.1×	28	392
Lizhen Qu Australia	12	386 1.1×	183 1.9×	76 1.1×	57 1.5×	30 1.1×	50	546
Teven Le Scao United States	4	722 2.0×	68 0.7×	137 2.0×	10 0.3×	15 0.6×	5	819

Countries citing papers authored by Leo Gao

Since Specialization

Citations

This map shows the geographic impact of Leo Gao's research. 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 Leo Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo Gao more than expected).

Fields of papers citing papers by Leo Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leo Gao. The network helps show where Leo Gao may publish in the future.

Co-authorship network of co-authors of Leo Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Gao. A scholar is included among the top collaborators of Leo Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leo Gao. Leo Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Biderman, Stella, Quentin Anthony, Leo Gao, et al.. (2022). GPT-NeoX-20B: An Open-Source Autoregressive Language Model. 95–136. 235 indexed citations breakdown →

2.

Gao, Leo, et al.. (2021). GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow. Zenodo (CERN European Organization for Nuclear Research). 215 indexed citations breakdown →

3.

Nichols, Eric, et al.. (2021). Collaborative Storytelling with Social Robots. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1903–1910. 9 indexed citations

4.

Nichols, Eric, et al.. (2021). Design and Analysis of a Collaborative Story Generation Game for Social Robots. Frontiers in Computer Science. 3. 10 indexed citations

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.

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