Marvin J. Karson

1.4k total citations
42 papers, 1.0k citations indexed

About

Marvin J. Karson is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Marvin J. Karson has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 9 papers in Statistics and Probability and 7 papers in Computational Theory and Mathematics. Recurrent topics in Marvin J. Karson's work include Optimal Experimental Design Methods (10 papers), Advanced Statistical Methods and Models (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Marvin J. Karson is often cited by papers focused on Optimal Experimental Design Methods (10 papers), Advanced Statistical Methods and Models (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Marvin J. Karson collaborates with scholars based in United States, Latvia and Taiwan. Marvin J. Karson's co-authors include John H. Barnett, Gary M. Mullet, Siu‐Keung Tse, A. R. Manson, Robert J. Hader, J. Edward Jackson, William R. Dillon, George A. F. Seber, I. M. Chakravarti and R. G. Laha and has published in prestigious journals such as Journal of the American Statistical Association, Contemporary Sociology A Journal of Reviews and Technometrics.

In The Last Decade

Marvin J. Karson

40 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marvin J. Karson United States 14 208 166 155 136 136 42 1.0k
Jeffrey A. Robinson United States 19 48 0.2× 178 1.1× 240 1.5× 224 1.6× 112 0.8× 51 1.9k
Germán Molina United States 14 57 0.3× 394 2.4× 60 0.4× 153 1.1× 101 0.7× 46 1.3k
Mik Wisniewski United Kingdom 14 158 0.8× 80 0.5× 33 0.2× 161 1.2× 152 1.1× 29 1.9k
Sangit Chätterjee United States 18 37 0.2× 225 1.4× 49 0.3× 123 0.9× 160 1.2× 75 1.6k
Sharad Borle United States 14 98 0.5× 376 2.3× 104 0.7× 235 1.7× 157 1.2× 25 1.5k
Eric W. Noreen United States 21 105 0.5× 125 0.8× 37 0.2× 77 0.6× 340 2.5× 41 3.1k
H. D. Patterson United Kingdom 4 25 0.1× 135 0.8× 66 0.4× 105 0.8× 297 2.2× 6 1.5k
Stuart Jay Deutsch United States 16 24 0.1× 112 0.7× 60 0.4× 151 1.1× 201 1.5× 81 1.3k
Robert R. Glauber United States 4 25 0.1× 153 0.9× 49 0.3× 134 1.0× 73 0.5× 8 1.4k
Donald E. Farrar United States 6 27 0.1× 139 0.8× 49 0.3× 139 1.0× 99 0.7× 18 1.6k

Countries citing papers authored by Marvin J. Karson

Since Specialization
Citations

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

Fields of papers citing papers by Marvin J. Karson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marvin J. Karson

This figure shows the co-authorship network connecting the top 25 collaborators of Marvin J. Karson. A scholar is included among the top collaborators of Marvin J. Karson 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 Marvin J. Karson. Marvin J. Karson 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.
Lim, Gino J., et al.. (2010). A comparison of multivariate statistical methods for estimating expected consequences for low‐probability and high‐consequence incidents. Human Factors and Ergonomics in Manufacturing & Service Industries. 20(3). 233–250. 5 indexed citations
2.
Feng, Qianmei, et al.. (2009). Bayesian analysis models for aviation baggage screening. IIE Transactions. 41(11). 995–1006. 5 indexed citations
3.
Gaudard, Marie & Marvin J. Karson. (2000). On estimating the box-cox transformation to normality. Communications in Statistics - Simulation and Computation. 29(2). 559–582. 6 indexed citations
4.
Gittell, Ross, et al.. (2000). The New Economic Geography of the States. Economic Development Quarterly. 14(2). 182–193. 3 indexed citations
5.
Karson, Marvin J., David C. Cheng, & Cheng F. Lee. (1995). Sampling distribution of the relative risk aversion estimator: Theory and applications. Review of Quantitative Finance and Accounting. 5(1). 43–54. 4 indexed citations
6.
Karson, Marvin J., et al.. (1993). Classical and bayesian estimation of exponential reliability under time censoring with replacement. Communications in Statistics - Simulation and Computation. 22(2). 471–496. 2 indexed citations
7.
Karson, Marvin J., et al.. (1990). Confidence Interval Estimation of P(Y<X) in the Gamma Case. Communications in Statistics - Simulation and Computation. 19(1). 225–244. 9 indexed citations
8.
Karson, Marvin J., et al.. (1989). Bootstrapping estimators of P(Y<X) in the gamma case. Journal of Statistical Computation and Simulation. 33(4). 217–231. 10 indexed citations
9.
Kaufman, Allen, Marvin J. Karson, & Jeffrey Sohl. (1988). Corporate political action committees' strategies in the 1980 congressional elections. The Social Science Journal. 25(3). 289–307. 5 indexed citations
10.
Tse, Siu‐Keung, et al.. (1986). Estimation of p(y<x) in the gamma case. Communications in Statistics - Simulation and Computation. 15(2). 365–388. 90 indexed citations
11.
Mullet, Gary M. & Marvin J. Karson. (1986). Percentiles of LINMAP Conjoint Indices of Fit for Various Orthogonal Arrays: A Simulation Study. Journal of Marketing Research. 23(3). 286–286. 5 indexed citations
12.
Karson, Marvin J. & David C. Cheng. (1985). Estimation of Multiperiod Expected Rates of Return When Investment Relatives Are Lognormally Distributed. Journal of Business and Economic Statistics. 3(2). 140–148.
13.
Cheng, David C. & Marvin J. Karson. (1985). Concepts, Theory, and Techniques ON THE USE OF THE GEOMETRIC MEAN IN LONG‐TERM INVESTMENT. Decision Sciences. 16(1). 1–13. 2 indexed citations
14.
Zumpano, Leonard V., et al.. (1982). Mortgage Markets and Inter‐Regional Differences in Conventional Mortgage Terms. Real Estate Economics. 10(1). 94–110. 2 indexed citations
15.
Walthall, John A., et al.. (1980). Copena Galena: Source Identification and Analysis. American Antiquity. 45(1). 21–42. 11 indexed citations
16.
Walthall, John A., et al.. (1979). Ohio Hopewell Trade: Galena Procurement and Exchange. 247–250. 9 indexed citations
17.
Karson, Marvin J., et al.. (1975). Design criteria and minimum bias estimation. Communications in Statistics. 4(4). 339–355. 2 indexed citations
18.
Jones, D. A. & Marvin J. Karson. (1972). On the Use of Confidence Regions to Test Hypotheses. Journal of Quality Technology. 4(3). 156–158. 2 indexed citations
19.
Karson, Marvin J.. (1970). Design Criterion for Minimum Bias Estimation of Response Surfaces. Journal of the American Statistical Association. 65(332). 1565–1572. 14 indexed citations
20.
Karson, Marvin J., A. R. Manson, & Robert J. Hader. (1969). Minimum Bias Estimation and Experimental Design for Response Surfaces. Technometrics. 11(3). 461–461. 22 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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