Hanoch Gutfreund
- Artificial Intelligence top 0.5%
- Cognitive Neuroscience top 1%
- Condensed Matter Physics top 1%
- Electronic, Optical and Magnetic Materials top 5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Haim SompolinskyDaniel J. AmitM. WegerB. HorovitzW. A. LittleV. D. KupradzeRichard A. KlemmM. Kaveh
- Topics
- Organic and Molecular Conductors Research (35 papers)Physics of Superconductivity and Magnetism (26 papers)Magnetism in coordination complexes (18 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Hanoch Gutfreund
87 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 2.0k
- Cognitive Neuroscience 1.4k
- Condensed Matter Physics 1.1k
- Electronic, Optical and Magnetic Materials 827
- Electrical and Electronic Engineering 825
Countries citing papers authored by Hanoch Gutfreund
This map shows the geographic impact of Hanoch Gutfreund'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 Hanoch Gutfreund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanoch Gutfreund more than expected).
Fields of papers citing papers by Hanoch Gutfreund
This network shows the impact of papers produced by Hanoch Gutfreund. 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 Hanoch Gutfreund. The network helps show where Hanoch Gutfreund may publish in the future.
Co-authorship network of co-authors of Hanoch Gutfreund
This figure shows the co-authorship network connecting the top 25 collaborators of Hanoch Gutfreund. A scholar is included among the top collaborators of Hanoch Gutfreund 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 Hanoch Gutfreund. Hanoch Gutfreund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | The road to relativity : the history and meaning of Einstein's "The foundation of general relativity" | 4 |
| 7 | Biology and computation : a physicist's choice : reprint volume | 2 |
| 8 | Spin-glass models of neural networksbreakdown → | 733 |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 38 | |
| 13 | 36 | |
| 14 | 3 | |
| 15 | 17 | |
| 16 | 44 | |
| 17 | 21 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | Potential methods in the theory of elasticity | 299 |
About Hanoch Gutfreund
Hanoch Gutfreund is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics, having authored 89 papers that have together received 4.4k indexed citations. Recurring topics across this work include Organic and Molecular Conductors Research (35 papers), Physics of Superconductivity and Magnetism (26 papers) and Magnetism in coordination complexes (18 papers). The work is most often cited by research in Condensed Matter Physics (1.1k citations), Cognitive Neuroscience (1.4k citations) and Artificial Intelligence (2.0k citations). Hanoch Gutfreund has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Haim Sompolinsky, Daniel J. Amit, M. Weger, B. Horovitz, W. A. Little, V. D. Kupradze, Richard A. Klemm, M. Kaveh, Marc Mézard and O. Entin‐Wohlman. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.
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.