Charles Proctor
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Statistics and Probability top 1%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Leo KatzF YatesJ. van der ZouwenWil DijkstraRobert R. BlakeCharles P. LoomisJoan H. CriswellJ. L. Moreno
- Topics
- Statistical Methods and Bayesian Inference (2 papers)Pesticide Residue Analysis and Safety (2 papers)Bayesian Modeling and Causal Inference (1 paper)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
- Partner nations
- United StatesThailand
In The Last Decade
Charles Proctor
15 papers receiving 991 citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Management Science and Operations Research 455
- Artificial Intelligence 285
- Statistics and Probability 273
- Computational Theory and Mathematics 158
- Control and Systems Engineering 136
Countries citing papers authored by Charles Proctor
This map shows the geographic impact of Charles Proctor'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 Charles Proctor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Proctor more than expected).
Fields of papers citing papers by Charles Proctor
This network shows the impact of papers produced by Charles Proctor. 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 Charles Proctor. The network helps show where Charles Proctor may publish in the future.
Co-authorship network of co-authors of Charles Proctor
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Proctor. A scholar is included among the top collaborators of Charles Proctor 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 Charles Proctor. Charles Proctor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 28 | |
| 3 | 10 | |
| 4 | Vulture funds and sovereign debt - the Zambian experience | 0 |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 21 | |
| 9 | 58 | |
| 10 | 58 | |
| 11 | 7 | |
| 12 | Introduction to the Theory of Fuzzy Subsets.breakdown → | 770 |
| 13 | 1 | |
| 14 | 31 | |
| 15 | Testing hypotheses with categorical data subject to misclassification | 2 |
| 16 | 128 | |
| 17 | 2 | |
| 18 | 40 |
About Charles Proctor
Charles Proctor is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Food Science, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (2 papers), Pesticide Residue Analysis and Safety (2 papers) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Management Science and Operations Research (455 citations), Statistics and Probability (273 citations) and Computational Theory and Mathematics (158 citations). Charles Proctor has collaborated with scholars based in United States and Thailand. Frequent co-authors include Leo Katz, F Yates, J. van der Zouwen, Wil Dijkstra, Robert R. Blake, Charles P. Loomis, Joan H. Criswell, J. L. Moreno, Mary L. Northway and Renato Tagiuri. Their work appears in journals such as Journal of the American Statistical Association, American Sociological Review and Psychometrika.
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.