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)P. M. Chaikin (1 shared paper)Nidhi Pashine (2 shared papers)Yoav Lahini (2 shared papers)Francesco Zamponi (1 shared paper)Pierfrancesco Urbani (1 shared paper)
- Journals
- Physical Review Letters (5 papers)Physical Review Research (2 papers)The Journal of Chemical Physics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Machine Learning Science and Technology (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Daniel Hexner
19 papers receiving 498 citations
Peers
Comparison fields: 5 of 60
- Condensed Matter Physics 221
- Acoustics and Ultrasonics 11
- Statistical and Nonlinear Physics 74
- Mathematical Physics 51
- Materials Chemistry 227
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 13 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 | 167 | |
| 2 | 2017 | 65 | |
| 3 | 2017 | 60 | |
| 4 | 2019 | 60 | |
| 5 | 2022 | 48 | |
| 6 | 2018 | 30 | |
| 7 | 2020 | 21 | |
| 8 | 2018 | 14 | |
| 9 | 2019 | 11 | |
| 10 | 2022 | 6 | |
| 11 | Tug-of-war in motility assay experiments | 2012 | 6 |
| 12 | 2025 | 4 | |
| 13 | 2013 | 4 | |
| 14 | Amorphous Gyroscopic Topological Metamaterials | 2016 | 1 |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2016 | 1 |
About Daniel Hexner
Daniel Hexner is a scholar working on Materials Chemistry, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Mechanical Engineering, having authored 19 papers that have together received 502 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), Advanced Thermodynamics and Statistical Mechanics (2 papers), Topological Materials and Phenomena (2 papers), Force Microscopy Techniques and Applications (2 papers) and Material Properties and Processing (1 paper). The work is most often cited by research in Condensed Matter Physics (221 citations), Acoustics and Ultrasonics (11 citations), Statistical and Nonlinear Physics (74 citations), Mathematical Physics (51 citations) and Materials Chemistry (227 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, P. M. Chaikin, Nidhi Pashine, Yoav Lahini, Francesco Zamponi, Pierfrancesco Urbani, Yariv Kafri and Noah Mitchell. Their work appears in journals such as Physical Review Letters, Physical Review Research, The Journal of Chemical Physics, Proceedings of the National Academy of Sciences and Machine Learning Science and Technology.
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.