C.L. Scheffer
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
Papers in
-
- Bayesian Modeling and Causal Inference 1
- Mathematical Control Systems and Analysis 1
- Co-authors
- Ran An (1 shared paper)Jan Telgen (1 shared paper)Robert L. Smith (1 shared paper)C. G. E. Boender (1 shared paper)H. C. P. Berbee (1 shared paper)M. M. Rao (1 shared paper)Gerard Hooghiemstra (1 shared paper)D. van Dantzig (1 shared paper)
- Journals
- Stochastic Processes and their Applications (2 papers)Probability Theory and Related Fields (1 paper)Mathematical Programming (1 paper)Journal of the American Statistical Association (1 paper)European Journal of Operational Research (1 paper)
- Partner nations
- NetherlandsUnited States
In The Last Decade
C.L. Scheffer
7 papers receiving 267 citations
Peers
Comparison fields: 5 of 64
- Finance 107
- Statistics and Probability 48
- Mathematical Physics 47
- Numerical Analysis 16
- Computational Theory and Mathematics 41
Countries citing papers authored by C.L. Scheffer
This map shows the geographic impact of C.L. Scheffer'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 C.L. Scheffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.L. Scheffer more than expected).
Fields of papers citing papers by C.L. Scheffer
This network shows the impact of papers produced by C.L. Scheffer. 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 C.L. Scheffer. The network helps show where C.L. Scheffer may publish in the future.
Co-authors
The 8 scholars most cited alongside C.L. Scheffer, 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 | 1980 | 180 | |
| 2 | 1987 | 65 | |
| 3 | 1985 | 19 | |
| 4 | 1986 | 9 | |
| 5 | 1995 | 8 | |
| 6 | 1969 | 3 | |
| 7 | 1962 | 2 | |
| 8 | 1954 | 2 |
About C.L. Scheffer
C.L. Scheffer is a scholar working on Artificial Intelligence, Mathematical Physics, Geometry and Topology, Statistical and Nonlinear Physics and Statistics and Probability, having authored 8 papers that have together received 288 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (1 paper), Stochastic processes and financial applications (1 paper), Advanced Queuing Theory Analysis (1 paper), Advanced Statistical Methods and Models (1 paper), Graph theory and applications (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Mathematical Control Systems and Analysis (1 paper). The work is most often cited by research in Finance (107 citations), Statistics and Probability (48 citations), Mathematical Physics (47 citations), Numerical Analysis (16 citations) and Computational Theory and Mathematics (41 citations). C.L. Scheffer has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Ran An, Jan Telgen, Robert L. Smith, C. G. E. Boender, H. C. P. Berbee, M. M. Rao, Gerard Hooghiemstra and D. van Dantzig. Their work appears in journals such as Stochastic Processes and their Applications, Probability Theory and Related Fields, Mathematical Programming, Journal of the American Statistical Association and European Journal of Operational Research.
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.