Harold J. Larson

5.8k total citations · 2 hit papers
28 papers, 4.5k citations indexed

About

Harold J. Larson is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Harold J. Larson has authored 28 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Safety, Risk, Reliability and Quality and 2 papers in Artificial Intelligence. Recurrent topics in Harold J. Larson's work include Bayesian Modeling and Causal Inference (2 papers), Advanced Statistical Methods and Models (2 papers) and Reliability and Maintenance Optimization (2 papers). Harold J. Larson is often cited by papers focused on Bayesian Modeling and Causal Inference (2 papers), Advanced Statistical Methods and Models (2 papers) and Reliability and Maintenance Optimization (2 papers). Harold J. Larson collaborates with scholars based in United States and France. Harold J. Larson's co-authors include Bruno O. Shubert, T. A. Bancroft, R. M. Cormack, Michael C. Costanza, Henry W. Block, Otto Dykstra, R. L. Plackett, Andrew Westlake, Glen Meeden and Michael Goldstein and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Harold J. Larson

25 papers receiving 4.0k citations

Hit Papers

Random variables and stochastic processes 1974 2026 1991 2008 1979 1974 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Harold J. Larson United States 12 1.6k 1.1k 624 567 513 28 4.5k
Bruno O. Shubert United States 7 1.6k 1.0× 1.1k 1.0× 638 1.0× 561 1.0× 515 1.0× 11 4.0k
Irwin Miller United States 13 2.5k 1.5× 1.4k 1.2× 885 1.4× 614 1.1× 663 1.3× 21 7.7k
R. W. Hamming United States 21 941 0.6× 353 0.3× 720 1.2× 500 0.9× 513 1.0× 53 5.8k
Richard P. Brent Australia 32 961 0.6× 956 0.9× 1.7k 2.7× 555 1.0× 535 1.0× 193 7.3k
Charles F. Van Loan United States 12 1.4k 0.9× 874 0.8× 912 1.5× 1.1k 1.9× 942 1.8× 22 7.2k
Josef Stoer Germany 27 936 0.6× 417 0.4× 486 0.8× 599 1.1× 279 0.5× 77 9.0k
Michael T. Heath United States 31 700 0.4× 1.2k 1.1× 668 1.1× 817 1.4× 212 0.4× 96 6.7k
Donald L. Snyder United States 31 746 0.5× 423 0.4× 741 1.2× 721 1.3× 308 0.6× 180 6.2k
Åke Björck Sweden 31 1.0k 0.6× 390 0.4× 770 1.2× 897 1.6× 533 1.0× 50 7.8k
Todd K. Moon United States 16 1.7k 1.1× 1.3k 1.2× 1.2k 1.9× 795 1.4× 808 1.6× 138 4.8k

Countries citing papers authored by Harold J. Larson

Since Specialization
Citations

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

Fields of papers citing papers by Harold J. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harold J. Larson

This figure shows the co-authorship network connecting the top 25 collaborators of Harold J. Larson. A scholar is included among the top collaborators of Harold J. Larson 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 Harold J. Larson. Harold J. Larson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Larson, Harold J.. (1992). Least squares estimation of linear splines with unknown knot locations. Computational Statistics & Data Analysis. 13(1). 1–8. 8 indexed citations
2.
Larson, Harold J., et al.. (1986). PWMA field test.
3.
Goldstein, Michael & Harold J. Larson. (1984). Introduction to Probability Theory and Statistical Inference.. Journal of the Royal Statistical Society Series A (General). 147(4). 614–614. 1 indexed citations
4.
Costanza, Michael C. & Harold J. Larson. (1983). Introduction to Probability Theory and Statistical Inference. (3rd ed.). Journal of the American Statistical Association. 78(384). 1000–1000. 22 indexed citations
5.
Larson, Harold J. & Bruno O. Shubert. (1979). Random variables and stochastic processes. Wiley eBooks. 3664 indexed citations breakdown →
6.
Larson, Harold J. & Bruno O. Shubert. (1979). Random noise, signals, and dynamic systems. Medical Entomology and Zoology. 6 indexed citations
7.
Cormack, R. M. & Harold J. Larson. (1977). Introduction to the Theory of Statistics. International Statistical Review. 45(2). 204–204. 23 indexed citations
8.
Plackett, R. L. & Harold J. Larson. (1976). Introduction to the Theory of Statistics.. Journal of the Royal Statistical Society Series A (General). 139(1). 128–128. 12 indexed citations
9.
Dykstra, Otto & Harold J. Larson. (1976). Statistics: An Introduction. Technometrics. 18(4). 502–502. 16 indexed citations
10.
Larson, Harold J., et al.. (1975). Introduction to Probability Theory and Statistical Inference.. Journal of the Royal Statistical Society Series A (General). 138(2). 259–259. 18 indexed citations
11.
Larson, Harold J., et al.. (1975). Introduction to Probability Theory and Statistical Inference.. Journal of the American Statistical Association. 70(350). 492–492. 18 indexed citations
12.
Larson, Harold J., et al.. (1974). Introduction to The Theory of Statistics.. Journal of the Royal Statistical Society Series A (General). 137(1). 95–95. 570 indexed citations breakdown →
13.
Block, Henry W. & Harold J. Larson. (1972). Introduction to Probability Theory and Statistical Inference.. American Mathematical Monthly. 79(9). 1046–1046. 20 indexed citations
14.
Larson, Harold J., et al.. (1970). Introduction to Probability Theory and Statistical Inference. Technometrics. 12(1). 175–175. 19 indexed citations
15.
Meeden, Glen & Harold J. Larson. (1970). Introduction to Probability Theory and Statistical Inference. Biometrics. 26(4). 870–870. 1 indexed citations
16.
Larson, Harold J. & Donald R. Barr. (1969). Objective identification procedures for the naval oil analysis program. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 1 indexed citations
17.
Larson, Harold J.. (1966). Conditional distribution of true reliability after corrective action. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 1 indexed citations
18.
Larson, Harold J.. (1966). Least Squares Estimation of the Components of a Symmetric Matrix. Technometrics. 8(2). 360–362. 8 indexed citations
19.
Larson, Harold J. & T. A. Bancroft. (1963). Sequential Model Building for Prediction in Regression Analysis, I. The Annals of Mathematical Statistics. 34(2). 462–479. 20 indexed citations
20.
Larson, Harold J., et al.. (1963). Biases in Prediction by Regression for Certain Incompletely Specified Models. Biometrika. 50(3/4). 391–391. 2 indexed citations

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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