S. M. Barr
- Nuclear and High Energy Physics top 0.5%
- Astronomy and Astrophysics top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Co-authors
- D. SeckelK. S. BabuCarl H. AlbrightA. ZeeEdward FarhiR. Sekhar ChivukulaJohn F. DonoghueVivek Agrawal
- Topics
- Particle physics theoretical and experimental studies (100 papers)Dark Matter and Cosmic Phenomena (50 papers)Cosmology and Gravitation Theories (47 papers)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
S. M. Barr
120 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 58
- Nuclear and High Energy Physics 3.6k
- Astronomy and Astrophysics 1.6k
- Atomic and Molecular Physics, and Optics 285
- Statistical and Nonlinear Physics 154
- Artificial Intelligence 40
Countries citing papers authored by S. M. Barr
This map shows the geographic impact of S. M. Barr'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 S. M. Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. Barr more than expected).
Fields of papers citing papers by S. M. Barr
This network shows the impact of papers produced by S. M. Barr. 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 S. M. Barr. The network helps show where S. M. Barr may publish in the future.
Co-authorship network of co-authors of S. M. Barr
This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Barr. A scholar is included among the top collaborators of S. M. Barr 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 S. M. Barr. S. M. Barr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | Optimization of Tow-Steered Composite Wind Turbine Blades for Static Aeroelastic Performance | 1 |
| 3 | New confining force solution of QCD domain wall problem | 1 |
| 4 | 15 | |
| 5 | 2 | |
| 6 | A Peculiar Extra U(1) | 3 |
| 7 | 104 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 12 | |
| 11 | 39 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 36 | |
| 15 | 30 | |
| 16 | 11 | |
| 17 | 84 | |
| 18 | 110 | |
| 19 | 9 | |
| 20 | 46 |
About S. M. Barr
S. M. Barr is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics, having authored 123 papers that have together received 3.8k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (100 papers), Dark Matter and Cosmic Phenomena (50 papers) and Cosmology and Gravitation Theories (47 papers). The work is most often cited by research in Nuclear and High Energy Physics (3.6k citations), Astronomy and Astrophysics (1.6k citations) and Statistical and Nonlinear Physics (154 citations). S. M. Barr has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include D. Seckel, K. S. Babu, Carl H. Albright, A. Zee, Edward Farhi, R. Sekhar Chivukula, John F. Donoghue, Vivek Agrawal, Ilja Doršner and Stephen Ellis. Their work appears in journals such as Physical Review Letters, Physics Today and Nuclear Physics B.
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.