Daniel Hexner
Impact in
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
- Micro and Nano Robotics
Papers in
-
- Material Dynamics and Properties 11
-
- Theoretical and Computational Physics 6
- Co-authors
- Dov Levine (4 shared papers)Sidney R. Nagel (4 shared papers)Andrea J. Liu (4 shared papers)Nidhi Pashine (2 shared papers)P. M. Chaikin (1 shared paper)Yoav Lahini (2 shared papers)Pierfrancesco Urbani (1 shared paper)Francesco Zamponi (1 shared paper)
- Journals
- Physical Review Letters (5 papers)The Journal of Chemical Physics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Physical Review Research (2 papers)Soft Matter (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Daniel Hexner
17 papers receiving 474 citations
Peers
Comparison fields: 5 of 61
- Condensed Matter Physics 214
- Acoustics and Ultrasonics 11
- Statistical and Nonlinear Physics 74
- Mathematical Physics 51
- Materials Chemistry 221
Countries citing papers authored by Daniel Hexner
This map shows the geographic impact of Daniel Hexner'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 Hexner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hexner more than expected).
Fields of papers citing papers by Daniel Hexner
This network shows the impact of papers produced by Daniel Hexner. 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 Hexner. The network helps show where Daniel Hexner may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniel Hexner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 161 | |
| 2 | 2017 | 62 | |
| 3 | 2019 | 60 | |
| 4 | 2017 | 57 | |
| 5 | 2022 | 43 | |
| 6 | 2018 | 29 | |
| 7 | 2020 | 21 | |
| 8 | 2018 | 14 | |
| 9 | 2019 | 10 | |
| 10 | 2022 | 6 | |
| 11 | 2025 | 4 | |
| 12 | 2013 | 3 | |
| 13 | Amorphous Gyroscopic Topological Metamaterials | 2016 | 1 |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 |
About Daniel Hexner
Daniel Hexner is a scholar working on Materials Chemistry, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Mechanical Engineering and Statistical and Nonlinear Physics, having authored 18 papers that have together received 475 indexed citations. Recurring topics across this work include Material Dynamics and Properties (11 papers), Theoretical and Computational Physics (6 papers), Advanced Materials and Mechanics (4 papers), Neural dynamics and brain function (3 papers), Topological Materials and Phenomena (2 papers), Force Microscopy Techniques and Applications (2 papers), Sensory Analysis and Statistical Methods (1 paper) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Condensed Matter Physics (214 citations), Acoustics and Ultrasonics (11 citations), Statistical and Nonlinear Physics (74 citations), Mathematical Physics (51 citations) and Materials Chemistry (221 citations). Daniel Hexner has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Dov Levine, Sidney R. Nagel, Andrea J. Liu, Nidhi Pashine, P. M. Chaikin, Yoav Lahini, Pierfrancesco Urbani, Francesco Zamponi, William T. M. Irvine and Lisa M. Nash. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics, Proceedings of the National Academy of Sciences, Physical Review Research and Soft 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.