A. J. Kinderman

533 citations
14 papers · 364 · h-index 7

Impact in

Papers in

A. J. Kinderman

10 papers receiving 312 citations

Peers

A. J. Kinderman
Comparison fields: 5 of 75
  • Statistics and Probability 111
  • Statistics, Probability and Uncertainty 53
  • Finance 43
  • Artificial Intelligence 118
  • General Economics, Econometrics and Finance 29
Replace Erik Torgersen with:
Erik Torgersen Norway
Yaming Yu United States
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R. Ranga Rao United States
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A. J. Kinderman relative to Erik Torgersen Norway Erik Torgersen's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. J. Kinderman

Since Specialization
Citations

This map shows the geographic impact of A. J. Kinderman'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 A. J. Kinderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. J. Kinderman more than expected).

Fields of papers citing papers by A. J. Kinderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. J. Kinderman. 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 A. J. Kinderman. The network helps show where A. J. Kinderman may publish in the future.

Co-authors

The 4 scholars most cited alongside A. J. Kinderman, 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 A. J. Kinderman Line = papers co-authored together A. J. Kinderman links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1977133
2 1976126
3 197636
4 198023
5 197717
6
Recent Developments in the Computer Generation of Student's t and Gamma Random Variables
19788
7 19757
8 20035
9 19774
10 19753
11
When People Who Have Stopped Working Should Take Social Security Retirement
20061
12
On Some Problems in Classification: Classifiability, Asymptotic Relative Efficiency, and a Complete Class Theorem
19721
13
Potential Bias in the Use of Life, Participation, and Employment Approach
20010
14
Classifiability and Designs for Sampling
19730

About A. J. Kinderman

A. J. Kinderman is a scholar working on Statistics and Probability, Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering and Information Systems, having authored 14 papers that have together received 364 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Numerical Methods and Algorithms (3 papers), Evolutionary Algorithms and Applications (2 papers), Random Matrices and Applications (2 papers), Statistical Methods and Inference (2 papers), Economic and Environmental Valuation (1 paper), Financial Literacy, Pension, Retirement Analysis (1 paper) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Statistics and Probability (111 citations), Statistics, Probability and Uncertainty (53 citations), Finance (43 citations), Artificial Intelligence (118 citations) and General Economics, Econometrics and Finance (29 citations). A. J. Kinderman has collaborated with scholars based in United States. Frequent co-authors include John F. Monahan, T. O. Lewis, Patrick L. Odell and Somesh Das Gupta. Their work appears in journals such as Journal of the American Statistical Association, Mathematics of Computation, ACM Transactions on Mathematical Software, Journal of Risk & Insurance and Computing.

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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