John Chadam

3.3k citations
63 papers · 2.4k · h-index 24

Impact in

Papers in

John Chadam

59 papers receiving 2.2k citations

Peers

John Chadam
Comparison fields: 5 of 112
  • Mathematical Physics 393
  • Environmental Engineering 505
  • Paleontology 231
  • Geophysics 374
  • Applied Mathematics 279
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William Parry United States
Richard W. Jordan Japan
Francis Hirsch France
Dennis E. White United States
Philip D. Rabinowitz United States
I. G. Enting Australia
Kai‐Jun Zhang China
Satoshi Tanaka Japan
Valerio Lucarini United Kingdom
Paul Sacks United States
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Citations per field
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Citations per year

Countries citing papers authored by John Chadam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with John Chadam Line = papers co-authored together John Chadam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987290
2 1987271
3 1988242
4 1986198
5 1980125
6 1983113
7 199293
8 197588
9 197373
10 200772
11 197460
12 198854
13 198648
14 197848
15 199243
16 200742
17 199441
18
THE EARLY EXERCISE BOUNDARY FOR THE AMERICAN PUT NEAR EXPIRY: NUMERICAL APPROXIMATION
199935
19 197634
20 197630

About John Chadam

John Chadam is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Finance, Materials Chemistry and Applied Mathematics, 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), Theoretical and Computational Physics (7 papers), Solidification and crystal growth phenomena (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 (393 citations), Environmental Engineering (505 citations), Paleontology (231 citations), Geophysics (374 citations) and Applied Mathematics (279 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, Xinfu Chen, Hong‐Ming Yin 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 Proceedings of the American Mathematical 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.

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