John Chadam
- Mathematical Physics top 2%
- Advanced Mathematical Physics Problems 8
- Spectral Theory in Mathematical Physics 7
- Numerical methods in inverse problems 6
- Environmental Engineering top 2%
- Paleontology top 5%
- Geophysics top 5%
- Applied Mathematics top 2%
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- Advanced Mathematical Modeling in Engineering 20
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- Stochastic processes and financial applications 10
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- Solidification and crystal growth phenomena 7
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- Theoretical and Computational Physics 7
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- Nonlinear Dynamics and Pattern Formation 6
- Co-authors
- P. OrtolevaAmartya SenE. MerinoRobert T. GlasseyRainer GrünHenry P. SchwarczEnrique MerinoHong‐Ming Yin
- Journals
- European Journal of Applied Mathematics (4 papers)SIAM Journal on Applied Mathematics (4 papers)SIAM Journal on Mathematical Analysis (4 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
John Chadam
59 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 113
- Mathematical Physics 385
- Environmental Engineering 504
- Paleontology 230
- Geophysics 373
- Applied Mathematics 279
Countries citing papers authored by John Chadam
This map shows the geographic impact of John Chadam'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 John Chadam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Chadam more than expected).
Fields of papers citing papers by John Chadam
This network shows the impact of papers produced by John Chadam. 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 John Chadam. The network helps show where John Chadam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Chadam, 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 | 2019 | 0 | |
| 2 | 2010 | 3 | |
| 3 | 2007 | 2 | |
| 4 | 2007 | 7 | |
| 5 | 1995 | 5 | |
| 6 | 1995 | 26 | |
| 7 | 1995 | 0 | |
| 8 | 1994 | 2 | |
| 9 | 1992 | 93 | |
| 10 | 1992 | 43 | |
| 11 | 1991 | 29 | |
| 12 | 1987 | 2 | |
| 13 | 1980 | 123 | |
| 14 | 1976 | 28 | |
| 15 | 1976 | 33 | |
| 16 | 1974 | 13 | |
| 17 | 1974 | 1 | |
| 18 | 1973 | 71 | |
| 19 | Asymptotics for $\square \, u = m^2 u + G (x, t, u, u_x, u_t),$ I. Global existence and decay | 1972 | 1 |
| 20 | 1970 | 6 |
About John Chadam
John Chadam is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Finance, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (20 papers), Stochastic processes and financial applications (10 papers), Advanced Mathematical Physics Problems (8 papers), Spectral Theory in Mathematical Physics (7 papers), Solidification and crystal growth phenomena (7 papers), Theoretical and Computational Physics (7 papers), Numerical methods in inverse problems (6 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). The work is most often cited by research in Mathematical Physics (385 citations), Environmental Engineering (504 citations) and Paleontology (230 citations). John Chadam has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include P. Ortoleva, Amartya Sen, E. Merino, Robert T. Glassey, Rainer Grün, Henry P. Schwarcz, Enrique Merino, Hong‐Ming Yin, Xinfu Chen and Anthony Peirce. Their work appears in journals such as European Journal of Applied Mathematics, SIAM Journal on Applied Mathematics, SIAM Journal on Mathematical Analysis, Journal of Mathematical Analysis and Applications and American Journal of Science.
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.