James Sochacki

511 citations
25 papers · 376 · h-index 9

Impact in

    • Numerical methods for differential equations
  • Geophysics top 10%
    • Seismic Waves and Analysis
    • Seismic Imaging and Inversion Techniques

Papers in

    • Numerical methods for differential equations 4
    • Stochastic processes and financial applications 5
    • Credit Risk and Financial Regulations 3
    • Financial Risk and Volatility Modeling 3

James Sochacki

22 papers receiving 344 citations

Peers

James Sochacki
Comparison fields: 5 of 51
  • Numerical Analysis 81
  • Geophysics 130
  • Modeling and Simulation 33
  • Ocean Engineering 63
  • Computational Mechanics 65
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Citations per field
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Citations per year

Countries citing papers authored by James Sochacki

Since Specialization
Citations

This map shows the geographic impact of James Sochacki'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 James Sochacki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Sochacki more than expected).

Fields of papers citing papers by James Sochacki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Sochacki. 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 James Sochacki. The network helps show where James Sochacki may publish in the future.

Co-authors

The 18 scholars most cited alongside James Sochacki, 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 James Sochacki Line = papers co-authored together James Sochacki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987133
2
Implementing the Picard iteration
199639
3 199136
4
Some properties of solutions to polynomial systems of differential equations
200529
5 200628
6 200023
7 198820
8 200119
9 199412
10 20008
11 19915
12
Polynomial odes: examples, solutions, properties
20104
13 19874
14 20123
15 20123
16 20013
17 19982
18 20011
19 20191
20 20221

About James Sochacki

James Sochacki is a scholar working on Numerical Analysis, Finance, Geophysics, Computational Theory and Mathematics and Applied Mathematics, having authored 25 papers that have together received 376 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (5 papers), Seismic Imaging and Inversion Techniques (5 papers), Seismic Waves and Analysis (5 papers), Numerical methods for differential equations (4 papers), Electromagnetic Simulation and Numerical Methods (4 papers), Credit Risk and Financial Regulations (3 papers), Financial Risk and Volatility Modeling (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). The work is most often cited by research in Numerical Analysis (81 citations), Geophysics (130 citations), Modeling and Simulation (33 citations), Ocean Engineering (63 citations) and Computational Mechanics (65 citations). James Sochacki has collaborated with scholars based in United States, Switzerland and Czechia. Frequent co-authors include Gary Parker, Scott B. Smithson, John George, Robert F. Kubichek, Richard E. Ewing, Jonathan H. George, C. David Pruett, Nikolaus A. Adams, Jiřı́ Zahradnı́k and Patrick O’Leary. Their work appears in journals such as Applied Mathematics and Computation, Geophysics, Abstract and Applied Analysis, Lecture notes in computational science and engineering and Computers & Mathematics with Applications.

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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