Richard Haberman
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Mechanics top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Roy H. GoodmanGregory B. PasstyMark J. AblowitzRichard H. RandWilliam L. KathStephen L. CampbellJianke YangYi Zhu
- Topics
- Nonlinear Photonic Systems (26 papers)Nonlinear Waves and Solitons (21 papers)Nonlinear Dynamics and Pattern Formation (18 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Richard Haberman
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Statistical and Nonlinear Physics 675
- Computer Networks and Communications 270
- Atomic and Molecular Physics, and Optics 257
- Computational Mechanics 195
- Control and Systems Engineering 132
Countries citing papers authored by Richard Haberman
This map shows the geographic impact of Richard Haberman'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 Richard Haberman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Haberman more than expected).
Fields of papers citing papers by Richard Haberman
This network shows the impact of papers produced by Richard Haberman. 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 Richard Haberman. The network helps show where Richard Haberman may publish in the future.
Co-authorship network of co-authors of Richard Haberman
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Haberman. A scholar is included among the top collaborators of Richard Haberman 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 Richard Haberman. Richard Haberman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 12 | |
| 3 | 3 | |
| 4 | 58 | |
| 5 | 27 | |
| 6 | Applied partial differential equations | 49 |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 17 | |
| 10 | 112 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 25 | |
| 15 | 4 | |
| 16 | 26 | |
| 17 | 8 | |
| 18 | 19 | |
| 19 | 20 | |
| 20 | 17 |
About Richard Haberman
Richard Haberman is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Computer Networks and Communications, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (26 papers), Nonlinear Waves and Solitons (21 papers) and Nonlinear Dynamics and Pattern Formation (18 papers). The work is most often cited by research in Statistical and Nonlinear Physics (675 citations), Numerical Analysis (101 citations) and Modeling and Simulation (58 citations). Richard Haberman has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Roy H. Goodman, Gregory B. Passty, Mark J. Ablowitz, Richard H. Rand, William L. Kath, Stephen L. Campbell, Jianke Yang, Yi Zhu, Eric K. Ho and Dinesh Rajan. Their work appears in journals such as Physical Review Letters, Journal of Fluid Mechanics and Physica D Nonlinear Phenomena.
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.