John Hertz

12.7k total citations · 6 hit papers
121 papers, 7.8k citations indexed

About

John Hertz is a scholar working on Condensed Matter Physics, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, John Hertz has authored 121 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Condensed Matter Physics, 34 papers in Cognitive Neuroscience and 33 papers in Artificial Intelligence. Recurrent topics in John Hertz's work include Theoretical and Computational Physics (44 papers), Neural dynamics and brain function (32 papers) and Neural Networks and Applications (32 papers). John Hertz is often cited by papers focused on Theoretical and Computational Physics (44 papers), Neural dynamics and brain function (32 papers) and Neural Networks and Applications (32 papers). John Hertz collaborates with scholars based in Denmark, United States and Sweden. John Hertz's co-authors include Anders Krogh, R. G. Palmer, Roderick V. Jensen, Richard Palmer, Heinz Horner, D. M. Edwards, Yasser Roudi, Barry J. Richmond, Mattias Wahde and M. A. Klenin and has published in prestigious journals such as Nature, Physical Review Letters and Physical review. B, Condensed matter.

In The Last Decade

John Hertz

117 papers receiving 7.4k citations

Hit Papers

Quantum critical phenomena 1976 2026 1992 2009 1976 1994 1991 1991 1991 500 1000 1.5k

Peers

John Hertz
Comparison fields: 5 of 184
  • Condensed Matter Physics 3.0k
  • Artificial Intelligence 1.9k
  • Atomic and Molecular Physics, and Optics 1.6k
  • Cognitive Neuroscience 1.4k
  • Electronic, Optical and Magnetic Materials 1.0k
Replace Hanoch Gutfreund with:
Hanoch Gutfreund Israel
Leon N. Cooper United States
R. G. Palmer United States
J. B. Swift United States
Ronald F. Fox United States
J. P. Gollub United States
Masaki Sano Japan
Daniel J. Amit Israel
Diederik S. Wiersma Italy
Giovanni Volpe Sweden
Hanoch Gutfreund Israel View profile →
Citations per field, relative to John Hertz
John Hertz · 1×
Citations per year, relative to John Hertz
John Hertz · 1×

Countries citing papers authored by John Hertz

Since Specialization
Citations

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

Fields of papers citing papers by John Hertz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Hertz

This figure shows the co-authorship network connecting the top 25 collaborators of John Hertz. A scholar is included among the top collaborators of John Hertz 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 John Hertz. John Hertz 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
# Work Indexed citations
1 16
2 31
3 27
4 84
5 121
6 21
7 13
8
Spike-Timing-Dependent Learning for Oscillatory Networks
5
9 101
10 11
11 6
12 16
13 97
14
Statistical Mechanics of Learning in a Large Committee Machine
1
15
Learning Cellular Automaton Dynamics with Neural Networks
7
16
Dynamics of Generalization in Linear Perceptrons
4
17
Exploiting Neurons with Localized Receptive Fields to Learn Chaos.
55
18
A Cost Function for Internal Representations
23
19 102
20 109

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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