Richard B. Sowers

1.3k citations
87 papers · 774 indexed · h-index 13
Topics
Stochastic processes and financial applications (26 papers)Stochastic processes and statistical mechanics (20 papers)Credit Risk and Financial Regulations (12 papers)

In The Last Decade

Richard B. Sowers

82 papers receiving 720 citations

Peers

Richard B. Sowers
Comparison fields: 5 of 102
  • Finance 293
  • Mathematical Physics 202
  • Computational Theory and Mathematics 168
  • Control and Systems Engineering 153
  • Statistical and Nonlinear Physics 84
Replace Vladimir G. Ivancevic with:
Vladimir G. Ivancevic Australia
Dongsheng Wu United States
Vladislav B. Tadić United Kingdom
Yoav Zemel Switzerland
Surya T. Tokdar United States
Zunwei Fu China
J.S. Sadowsky United States
Xuemei Ding United Kingdom
Piotr Fryźlewicz United Kingdom
Richard B. Sowers relative to Vladimir G. Ivancevic Australia Vladimir G. Ivancevic's profile →
Citations per field
00.5×7.5×
Vladimir G. Ivancevic · 1×
Citations per year

Countries citing papers authored by Richard B. Sowers

Since Specialization
Citations

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

Fields of papers citing papers by Richard B. Sowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard B. Sowers. 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 B. Sowers. The network helps show where Richard B. Sowers may publish in the future.

Co-authorship network of co-authors of Richard B. Sowers

This figure shows the co-authorship network connecting the top 25 collaborators of Richard B. Sowers. A scholar is included among the top collaborators of Richard B. Sowers 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 B. Sowers. Richard B. Sowers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 2
4 4
5 2
6 7
7 4
8 33
9 1
10 5
11 2
12
Default Clustering in Large Portfolios: Typical and Atypical Events
2
13 8
14 3
15
Multiscale dynamics and information: some mathematical challenges
1
16 0
17 6
18 3
19 32
20 2

About Richard B. Sowers

Richard B. Sowers is a scholar working on Finance, Mathematical Physics and Physical Therapy, Sports Therapy and Rehabilitation, having authored 87 papers that have together received 774 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (26 papers), Stochastic processes and statistical mechanics (20 papers) and Credit Risk and Financial Regulations (12 papers). The work is most often cited by research in Finance (293 citations), Mathematical Physics (202 citations) and Modeling and Simulation (52 citations). Richard B. Sowers has collaborated with scholars based in United States, Bulgaria and United Kingdom. Frequent co-authors include Carl Mueller, Rachneet Kaur, Manuel E. Hernandez, N. Sri Namachchivaya, Robert W. Motl, Ren Wang, Mark Freidlin, Daniel B. Work, Konstantinos Spiliopoulos and Steven N. Evans. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Biomedical Engineering and Sensors.

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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