Daniel Hesslow

674 total citations · 1 hit paper
4 papers, 194 citations indexed

About

Daniel Hesslow is a scholar working on Artificial Intelligence, Computational Mechanics and Acoustics and Ultrasonics. According to data from OpenAlex, Daniel Hesslow has authored 4 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computational Mechanics and 1 paper in Acoustics and Ultrasonics. Recurrent topics in Daniel Hesslow's work include Neural Networks and Reservoir Computing (2 papers), Natural Language Processing Techniques (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Daniel Hesslow is often cited by papers focused on Neural Networks and Reservoir Computing (2 papers), Natural Language Processing Techniques (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Daniel Hesslow collaborates with scholars based in France, United States and South Korea. Daniel Hesslow's co-authors include Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić, Zheng Yong, Iz Beltagy, Ofir Press, Niklas Muennighoff and Julien Launay and has published in prestigious journals such as Optics Express, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and arXiv (Cornell University).

In The Last Decade

Daniel Hesslow

4 papers receiving 182 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.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

2022 174 citations Teven Le Scao, Angela Fan et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Hesslow France	2	139	24	23	13	12	4	194
Christopher Akiki Germany	4	133 1.0×	21 0.9×	25 1.1×	14 1.1×	12 1.0×	10	201
Xiangru Tang United States	7	234 1.7×	31 1.3×	16 0.7×	18 1.4×	32 2.7×	22	317
Wenxiong Liao China	8	197 1.4×	27 1.1×	29 1.3×	28 2.2×	5 0.4×	16	271
Jan Trienes Germany	4	190 1.4×	21 0.9×	44 1.9×	6 0.5×	14 1.2×	6	250
Ilia Stepin Spain	4	183 1.3×	15 0.6×	33 1.4×	8 0.6×	6 0.5×	6	216
Kalpesh Krishna United States	8	155 1.1×	24 1.0×	12 0.5×	22 1.7×	11 0.9×	17	200
Wenmian Yang China	8	165 1.2×	38 1.6×	21 0.9×	31 2.4×	27 2.3×	14	236
Niklas Muennighoff United States	6	302 2.2×	55 2.3×	15 0.7×	37 2.8×	9 0.8×	8	379
Trieu H. Trinh United States	3	78 0.6×	16 0.7×	7 0.3×	8 0.6×	7 0.6×	4	131
Ziyu Yao United States	8	117 0.8×	26 1.1×	8 0.3×	41 3.2×	5 0.4×	27	163

Countries citing papers authored by Daniel Hesslow

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Hesslow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hesslow

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

All Works

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4 of 4 papers shown

1.

Hesslow, Daniel, et al.. (2023). Linear optical random projections without holography. Optics Express. 31(16). 25881–25881. 1 indexed citations

2.

Hesslow, Daniel, et al.. (2023). Artificial Neural Network Training on an Optical Processor via Direct Feedback Alignment. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 29. 1–1. 1 indexed citations

3.

Scao, Teven Le, Thomas J. Wang, Daniel Hesslow, et al.. (2022). What Language Model to Train if You Have One Million GPU Hours?. 765–782. 18 indexed citations

4.

Scao, Teven Le, Angela Fan, Christopher Akiki, et al.. (2022). BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. arXiv (Cornell University). 174 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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