Samuel Weinbach

520 total citations · 1 hit paper
2 papers, 236 citations indexed

About

Samuel Weinbach is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Samuel Weinbach has authored 2 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Samuel Weinbach's work include Topic Modeling (2 papers) and Natural Language Processing Techniques (1 paper). Samuel Weinbach is often cited by papers focused on Topic Modeling (2 papers) and Natural Language Processing Techniques (1 paper). Samuel Weinbach collaborates with scholars based in United States. Samuel Weinbach's co-authors include Jason Phang, Laria Reynolds, Ben Wang, Quentin Anthony, Michael Pieler, Leo Gao, Stella Biderman, Horace He, Kyle McDonell and Patrick Schramowski and has published in prestigious journals such as .

In The Last Decade

Samuel Weinbach

2 papers receiving 221 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 →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Weinbach United States	2	176	42	31	17	15	2	236
Yeganeh Kordi United States	1	191 1.1×	39 0.9×	43 1.4×	9 0.5×	17 1.1×	2	269
Nils Blach Switzerland	3	106 0.6×	22 0.5×	32 1.0×	8 0.5×	10 0.7×	4	173
H. Niewiadomski Switzerland	4	106 0.6×	21 0.5×	30 1.0×	8 0.5×	10 0.7×	8	182
Ales Kubicek Switzerland	1	102 0.6×	19 0.5×	25 0.8×	8 0.5×	10 0.7×	2	161
Piotr Nyczyk Switzerland	1	102 0.6×	19 0.5×	25 0.8×	8 0.5×	10 0.7×	2	161
Niklas Muennighoff United States	6	302 1.7×	37 0.9×	55 1.8×	4 0.2×	15 1.0×	8	379
Amir Kantor Israel	5	181 1.0×	48 1.1×	40 1.3×	11 0.6×	5 0.3×	14	237
Christopher Akiki Germany	4	133 0.8×	14 0.3×	21 0.7×	4 0.2×	25 1.7×	10	201
Yuxian Gu China	6	259 1.5×	44 1.0×	72 2.3×	9 0.5×	3 0.2×	9	311
Mingyue Shang China	9	186 1.1×	46 1.1×	42 1.4×	31 1.8×	2 0.1×	23	267

Countries citing papers authored by Samuel Weinbach

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Weinbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Weinbach. 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 Samuel Weinbach. The network helps show where Samuel Weinbach may publish in the future.

Co-authorship network of co-authors of Samuel Weinbach

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Weinbach. A scholar is included among the top collaborators of Samuel Weinbach 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 Samuel Weinbach. Samuel Weinbach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Schramowski, Patrick, et al.. (2024). T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. 21829–21851. 1 indexed citations

2.

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

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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