Nathan M. Myers
- Statistical and Nonlinear Physics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Materials Chemistry
- Co-authors
- Sebastian DeffnerObinna AbahP. VargasFrancisco J. PeñaGabriele De ChiaraKwon ParkRyan P. ScottV. W. Scarola
- Topics
- Advanced Thermodynamics and Statistical Mechanics (8 papers)Thermal Radiation and Cooling Technologies (6 papers)Quantum and electron transport phenomena (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsCivil and Structural Engineering
- Partner nations
- United StatesChileBrazil
In The Last Decade
Nathan M. Myers
10 papers receiving 286 citations
Hit Papers
Peers
Comparison fields: 5 of 24
- Statistical and Nonlinear Physics 243
- Atomic and Molecular Physics, and Optics 201
- Artificial Intelligence 95
- Civil and Structural Engineering 78
- Materials Chemistry 23
Countries citing papers authored by Nathan M. Myers
This map shows the geographic impact of Nathan M. Myers'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 Nathan M. Myers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan M. Myers more than expected).
Fields of papers citing papers by Nathan M. Myers
This network shows the impact of papers produced by Nathan M. Myers. 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 Nathan M. Myers. The network helps show where Nathan M. Myers may publish in the future.
Co-authorship network of co-authors of Nathan M. Myers
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan M. Myers. A scholar is included among the top collaborators of Nathan M. Myers 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 Nathan M. Myers. Nathan M. Myers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | Quantum thermodynamic devices: From theoretical proposals to experimental realitybreakdown → | 138 |
| 6 | 35 | |
| 7 | Thermodynamics of statistical anyons | 14 |
| 8 | 23 | |
| 9 | 18 | |
| 10 | 50 |
About Nathan M. Myers
Nathan M. Myers is a scholar working on Statistical and Nonlinear Physics, Civil and Structural Engineering and Atomic and Molecular Physics, and Optics, having authored 10 papers that have together received 290 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (8 papers), Thermal Radiation and Cooling Technologies (6 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (243 citations), Atomic and Molecular Physics, and Optics (201 citations) and Civil and Structural Engineering (78 citations). Nathan M. Myers has collaborated with scholars based in United States, Chile and Brazil. Frequent co-authors include Sebastian Deffner, Obinna Abah, P. Vargas, Francisco J. Peña, Gabriele De Chiara, Kwon Park, Ryan P. Scott, V. W. Scarola and F. Albarrán-Arriagada. Their work appears in journals such as New Journal of Physics, Nanomaterials and Symmetry.
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.