C.L. Scheffer

About

C.L. Scheffer is a scholar working on Artificial Intelligence, Statistics and Probability and Statistical and Nonlinear Physics. According to data from OpenAlex, C.L. Scheffer has authored 8 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in C.L. Scheffer’s work include Markov Chains and Monte Carlo Methods (1 paper), Mathematical and Theoretical Analysis (1 paper) and Advanced Statistical Process Monitoring (1 paper). C.L. Scheffer is often cited by papers focused on Markov Chains and Monte Carlo Methods (1 paper), Mathematical and Theoretical Analysis (1 paper) and Advanced Statistical Process Monitoring (1 paper). C.L. Scheffer collaborates with scholars based in The Netherlands and United States. C.L. Scheffer's co-authors include M. M. Rao, Jan Telgen, H. C. P. Berbee, C. G. E. Boender, Ran An, Robert L. Smith, Gerard Hooghiemstra and D. van Dantzig and has published in prestigious journals such as Journal of the American Statistical Association, European Journal of Operational Research and Mathematical Programming.

In The Last Decade

Co-authorship network of co-authors of C.L. Scheffer i

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Fields of papers citing papers by C.L. Scheffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by C.L. Scheffer

Since Specialization

Citations

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).

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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