Jason Hickey

46 papers receiving 1.4k citations

Hit Papers

Learning data-driven discretizations for partial differen...2019202620212023201920192022100200300

Peers

Jason Hickey
Comparison fields: 5 of 99
  • Computer Networks and Communications 311
  • Atmospheric Science 298
  • Artificial Intelligence 290
  • Electrical and Electronic Engineering 264
  • Statistical and Nonlinear Physics 248
Replace Atılım Güneş Baydin with:
Atılım Güneş Baydin United Kingdom
Stéphane Lanteri France
Ralf Meyer United States
B. Cannas Italy
Patrick Amestoy France
Atsuya Uno Japan
Vance Faber United States
Zhizhang Chen Canada
Chao Yang China
Robert M. Kirby United States
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Citations per year

Countries citing papers authored by Jason Hickey

Since Specialization
Citations

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

Fields of papers citing papers by Jason Hickey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Hickey

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Deep learning for twelve hour precipitation forecastsbreakdown →
145
3 19
4 11
5 13
6
Learning data-driven discretizations for partial differential equationsbreakdown →
326
7
Data-driven discretization: a method for systematic coarse graining of partial differential equations
3
8
Data-driven discretization: machine learning for coarse graining of partial differential equations
1
9
Real world OCaml
7
10
Palomar Laser Guide Star Adaptive Optics Observations of Globular Cluster GLIMPSE-C01
1
11 0
12 2
13
Speculations: providing fault-tolerance and recoverability in distributed environments
0
14 4
15
A Mechanism for Sequential Consistency in a Distributed Objects System.
0
16
The Earthshine project: Update on photometric and spectrometric measurements
1
17
Introduction to the Objective Caml Programming Language
4
18
The metaprl logical programming environment
20
19 9
20 13

About Jason Hickey

Jason Hickey is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Logic, programming, and type systems (13 papers), Formal Methods in Verification (10 papers) and Distributed systems and fault tolerance (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (248 citations), Hardware and Architecture (119 citations) and Atmospheric Science (298 citations). Jason Hickey has collaborated with scholars based in United States, Hong Kong and Switzerland. Frequent co-authors include Stephan Hoyer, Yohai Bar‐Sinai, Michael P. Brenner, Jiaqi Jiang, D. D. Sell, Jianji Yang, Jonathan A. Fan, W.S. Marcus, Martin Littlewood and W.D. Sincoskie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Geophysical Research Atmospheres.

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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