Daniel Hesslow

19 total papers · 1.3k total citations
3 papers, 19 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 3 papers receiving a total of 19 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), Topic Modeling (1 paper) and Advanced Memory and Neural Computing (1 paper). Daniel Hesslow is often cited by papers focused on Neural Networks and Reservoir Computing (2 papers), Topic Modeling (1 paper) and Advanced Memory and Neural Computing (1 paper). Daniel Hesslow collaborates with scholars based in France, United States and South Korea. Daniel Hesslow's co-authors include Teven Le Scao, Ofir Press, Stas Bekman, Julien Launay, Thomas J. Wang, Victor Sanh, Iz Beltagy, Colin Raffel, Lintang Sutawika and Zheng Yong and has published in prestigious journals such as Optics Express and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Daniel Hesslow

3 papers receiving 17 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Hesslow 17 5 3 1 1 3 19
Tamara von Glehn 18 1.1× 6 1.2× 4 1.3× 3 22
Younes Belkada 12 0.7× 5 1.0× 3 1.0× 2 21
G.A. Kabatianskii 17 1.0× 6 1.2× 2 0.7× 2 20
Lorenz Panny 15 0.9× 4 0.8× 2 0.7× 1 1.0× 3 20
Itsik Mantin 14 0.8× 6 1.2× 2 0.7× 2 16
Siddhartha Mishra 13 0.8× 5 1.0× 2 0.7× 4 17
Zhiyi Ma 13 0.8× 5 1.0× 2 0.7× 3 13
Gilles Piret 15 0.9× 7 1.4× 2 0.7× 3 15
Stas Bekman 17 1.0× 5 1.0× 3 1.0× 2 2.0× 1 1.0× 2 20
Xianyan Jia 15 0.9× 5 1.0× 6 2.0× 3 19

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026