Kenneth S. Miller
- Modeling and Simulation top 0.01%
- Applied Mathematics top 0.1%
- Numerical Analysis top 0.1%
- Statistical and Nonlinear Physics top 0.2%
- Control and Systems Engineering top 0.5%
- Co-authors
- Bertram RossJohn M. KrochtaStefan SamkoDaniel GeisselerLeslie E. BlumensonR. Paul SinghBrian E. FarkasShrinivasa K. Upadhyaya
- Topics
- Mathematical functions and polynomials (8 papers)Soil Carbon and Nitrogen Dynamics (5 papers)Numerical methods for differential equations (5 papers)
- Partner nations
- United StatesPortugalJapan
In The Last Decade
Kenneth S. Miller
62 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Modeling and Simulation 5.3k
- Applied Mathematics 2.8k
- Numerical Analysis 2.5k
- Statistical and Nonlinear Physics 1.6k
- Control and Systems Engineering 1.3k
Countries citing papers authored by Kenneth S. Miller
This map shows the geographic impact of Kenneth S. Miller'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 Kenneth S. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth S. Miller more than expected).
Fields of papers citing papers by Kenneth S. Miller
This network shows the impact of papers produced by Kenneth S. Miller. 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 Kenneth S. Miller. The network helps show where Kenneth S. Miller may publish in the future.
Co-authorship network of co-authors of Kenneth S. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth S. Miller. A scholar is included among the top collaborators of Kenneth S. Miller 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 Kenneth S. Miller. Kenneth S. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | USING VIDEO TECHNOLOGY TO CONDUCT 1991 BOSTON REGION EXTERNAL CORDON SURVEY | 5 |
| 4 | 3 | |
| 5 | 40 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 92 | |
| 9 | 2 | |
| 10 | 40 | |
| 11 | 10 | |
| 12 | 63 | |
| 13 | 13 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 1 |
About Kenneth S. Miller
Kenneth S. Miller is a scholar working on Numerical Analysis, Applied Mathematics and Algebra and Number Theory, having authored 70 papers that have together received 8.9k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (8 papers), Soil Carbon and Nitrogen Dynamics (5 papers) and Numerical methods for differential equations (5 papers). The work is most often cited by research in Modeling and Simulation (5.3k citations), Numerical Analysis (2.5k citations) and Applied Mathematics (2.8k citations). Kenneth S. Miller has collaborated with scholars based in United States, Portugal and Japan. Frequent co-authors include Bertram Ross, John M. Krochta, Stefan Samko, Daniel Geisseler, Leslie E. Blumenson, R. Paul Singh, Brian E. Farkas, Shrinivasa K. Upadhyaya, Gordon Latta and Francis J. Murray. Their work appears in journals such as Journal of the American Statistical Association, Journal of Applied Physics and Technometrics.
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.