Charles Proctor

15 papers receiving 991 citations

Charles Proctor's Hit Papers

Introduction to the Theory of Fuzzy Subsets. 1977 · 770 citations
7700+16+32Years since publication250500750

Peers

Charles Proctor
Comparison fields: 5 of 153
  • Management Science and Operations Research 455
  • Statistics and Probability 273
  • Computational Theory and Mathematics 158
  • Artificial Intelligence 285
  • Statistics, Probability and Uncertainty 43
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Sangit Chätterjee United States
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Martin Schader Germany
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Countries citing papers authored by Charles Proctor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 18 scholars most cited alongside Charles Proctor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Charles Proctor Line = papers co-authored together Charles Proctor links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Introduction to the Theory of Fuzzy Subsets.
Hit paper breakdown →
1977770
2 1961128
3 198258
4 198358
5 195940
6 196731
7 201228
8 198321
9 198414
10 200810
11 19827
12 19956
13
Testing hypotheses with categorical data subject to misclassification
19652
14 19612
15 19851
16 19711
17
Vulture funds and sovereign debt - the Zambian experience
20070
18 20230

About Charles Proctor

Charles Proctor is a scholar working on Statistics and Probability, Sociology and Political Science, Food Science, General Health Professions and Finance, 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), Horticultural and Viticultural Research (1 paper), Community Health and Development (1 paper), Advanced Statistical Process Monitoring (1 paper), Bayesian Modeling and Causal Inference (1 paper), Survey Sampling and Estimation Techniques (1 paper) and Weed Control and Herbicide Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (455 citations), Statistics and Probability (273 citations), Computational Theory and Mathematics (158 citations), Artificial Intelligence (285 citations) and Statistics, Probability and Uncertainty (43 citations). Charles Proctor has collaborated with scholars based in United States and Thailand. Frequent co-authors include Leo Katz, F Yates, Wil Dijkstra, J. van der Zouwen, Helen Jennings, Mary L. Northway, Joan H. Criswell, Jane Srygley Mouton, Robert R. Blake and Jiří Nehněvajsa. Their work appears in journals such as Journal of the American Statistical Association, Psychometrika, American Sociological Review, Rural Sociology and Journal of Agricultural Biological and Environmental Statistics.

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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