Richard M. Noyes
- Computer Networks and Communications top 0.2%
- Atomic and Molecular Physics, and Optics top 1%
- Molecular Biology top 10%
- Statistical and Nonlinear Physics top 0.5%
- Organic Chemistry top 2%
- Co-authors
- Richard J. FieldE. KőrösAlexander R. McBirneyK. Bar‐EliStanley D. FurrowKenneth ShowalterPeter RuoffD. Edelson
- Topics
- Nonlinear Dynamics and Pattern Formation (49 papers)Spectroscopy and Quantum Chemical Studies (40 papers)Electrochemical Analysis and Applications (22 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsPhysical and Theoretical Chemistry
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Richard M. Noyes
165 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Computer Networks and Communications 3.4k
- Atomic and Molecular Physics, and Optics 1.8k
- Molecular Biology 1.2k
- Statistical and Nonlinear Physics 1.2k
- Organic Chemistry 1.1k
Countries citing papers authored by Richard M. Noyes
This map shows the geographic impact of Richard M. Noyes'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 M. Noyes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Noyes more than expected).
Fields of papers citing papers by Richard M. Noyes
This network shows the impact of papers produced by Richard M. Noyes. 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 M. Noyes. The network helps show where Richard M. Noyes may publish in the future.
Co-authorship network of co-authors of Richard M. Noyes
This figure shows the co-authorship network connecting the top 25 collaborators of Richard M. Noyes. A scholar is included among the top collaborators of Richard M. Noyes 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 M. Noyes. Richard M. Noyes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 52 | |
| 10 | 117 | |
| 11 | 16 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 25 | |
| 15 | 8 | |
| 16 | 73 | |
| 17 | 5 | |
| 18 | 155 | |
| 19 | 7 | |
| 20 | 2 |
About Richard M. Noyes
Richard M. Noyes is a scholar working on Physical and Theoretical Chemistry, Electrochemistry and Computer Networks and Communications, having authored 172 papers that have together received 7.1k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (49 papers), Spectroscopy and Quantum Chemical Studies (40 papers) and Electrochemical Analysis and Applications (22 papers). The work is most often cited by research in Computer Networks and Communications (3.4k citations), Statistical and Nonlinear Physics (1.2k citations) and Physical and Theoretical Chemistry (805 citations). Richard M. Noyes has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Richard J. Field, E. Kőrös, Alexander R. McBirney, K. Bar‐Eli, Stanley D. Furrow, Kenneth Showalter, Peter Ruoff, D. Edelson, Mordecai B. Rubin and Richard Field. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.