Morris Meisner

2.1k total citations
62 papers, 1.6k citations indexed

About

Morris Meisner is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Morris Meisner has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 14 papers in Economics and Econometrics and 9 papers in Management Science and Operations Research. Recurrent topics in Morris Meisner's work include Statistical Methods in Clinical Trials (19 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers) and Optimal Experimental Design Methods (9 papers). Morris Meisner is often cited by papers focused on Statistical Methods in Clinical Trials (19 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers) and Optimal Experimental Design Methods (9 papers). Morris Meisner collaborates with scholars based in United States, Hungary and Japan. Morris Meisner's co-authors include Eugene Laska, Carole Siegel, H. B. Kushner, Joseph Wanderling, Abraham Sunshine, Jan Volavka, Judith Jaeger, Pal Czobor, S. Baker and Lin Shang and has published in prestigious journals such as The Lancet, Journal of the American Statistical Association and American Journal of Epidemiology.

In The Last Decade

Morris Meisner

61 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morris Meisner United States 24 516 307 217 184 157 62 1.6k
Paul Janssen Belgium 26 1.1k 2.2× 170 0.6× 209 1.0× 252 1.4× 160 1.0× 179 2.8k
Martijn P. F. Berger Netherlands 28 796 1.5× 769 2.5× 197 0.9× 285 1.5× 167 1.1× 113 3.1k
Max A. Woodbury United States 29 367 0.7× 160 0.5× 332 1.5× 264 1.4× 401 2.6× 112 2.7k
Eric Peritz Israel 16 749 1.5× 493 1.6× 125 0.6× 79 0.4× 50 0.3× 51 1.7k
Dipankar Bandyopadhyay United States 28 542 1.1× 102 0.3× 174 0.8× 303 1.6× 103 0.7× 182 2.6k
Elliot M. Cramer United States 15 312 0.6× 136 0.4× 54 0.2× 128 0.7× 138 0.9× 40 2.0k
Joseph S. Verducci United States 21 173 0.3× 167 0.5× 208 1.0× 346 1.9× 163 1.0× 51 2.3k
Dulal K. Bhaumik United States 25 429 0.8× 235 0.8× 133 0.6× 835 4.5× 464 3.0× 84 2.7k
Christy Chuang‐Stein United States 24 1.2k 2.3× 324 1.1× 726 3.3× 82 0.4× 212 1.4× 89 2.2k
Michael Conlon United States 30 91 0.2× 319 1.0× 77 0.4× 123 0.7× 116 0.7× 90 2.5k

Countries citing papers authored by Morris Meisner

Since Specialization
Citations

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

Fields of papers citing papers by Morris Meisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Morris Meisner. 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 Morris Meisner. The network helps show where Morris Meisner may publish in the future.

Co-authorship network of co-authors of Morris Meisner

This figure shows the co-authorship network connecting the top 25 collaborators of Morris Meisner. A scholar is included among the top collaborators of Morris Meisner 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 Morris Meisner. Morris Meisner 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.
Laska, Eugene, Morris Meisner, Joseph Wanderling, & Carole Siegel. (2010). Estimating treated prevalence and service utilization rates: Assessing disparities in mental health. Statistics in Medicine. 29(16). 1673–1680. 2 indexed citations
2.
Laska, Eugene, Morris Meisner, & Joseph Wanderling. (2009). Model‐based multiplicity estimation of population size. Statistics in Medicine. 28(17). 2230–2252. 2 indexed citations
3.
Laska, Eugene, Morris Meisner, Joseph Wanderling, & Carole Siegel. (2003). Estimating population size and duplication rates when records cannot be linked. Statistics in Medicine. 22(21). 3403–3417. 2 indexed citations
4.
Laska, Eugene, Morris Meisner, Carole Siegel, & Joseph Wanderling. (2002). Statistical determination of cost‐effectiveness frontier based on net health benefits. Health Economics. 11(3). 249–264. 8 indexed citations
5.
Laska, Eugene, Morris Meisner, Carole Siegel, & Joseph Wanderling. (2001). Statistical cost‐effectiveness analysis of two treatments based on net health benefits. Statistics in Medicine. 20(8). 1279–1302. 10 indexed citations
6.
Laska, Eugene, Morris Meisner, Carole Siegel, & Aaron A. Stinnett. (1999). Ratio-based and net benefit-based approaches to health care resource allocation: proofs of optimality and equivalence. Health Economics. 8(2). 171–174. 37 indexed citations
7.
Laska, Eugene, Morris Meisner, & Carole Siegel. (1999). Power and Sample Size in Cost- Effectiveness Analysis. Medical Decision Making. 19(3). 339–343. 31 indexed citations
8.
Laska, Eugene, Morris Meisner, & Carole Siegel. (1997). Statistical Inference for Cost-Effectiveness Ratios. Health Economics. 6(3). 229–242. 74 indexed citations
9.
Laska, Eugene, Morris Meisner, Joseph Wanderling, & H. B. Kushner. (1996). ESTIMATING POPULATION SIZE WHEN DUPLICATES ARE PRESENT. Statistics in Medicine. 15(15). 1635–1646. 5 indexed citations
10.
Volavka, Jan, Thomas B. Cooper, Eugene Laska, & Morris Meisner. (1996). Placebo Washout in Trials of Antipsychotic Drugs. Schizophrenia Bulletin. 22(4). 567–576. 6 indexed citations
11.
Laska, Eugene & Morris Meisner. (1993). A plant-capture method for estimating the size of a population from a single sample.. PubMed. 49(1). 209–20. 30 indexed citations
12.
Laska, Eugene & Morris Meisner. (1993). A Plant-Capture Method for Estimating the Size of a Population from a Single Sample. Biometrics. 49(1). 209–209. 22 indexed citations
13.
Ottman, Ruth, Ezra Susser, & Morris Meisner. (1991). Control for Environmental Risk Factors in Assessing Genetic Effects on Disease Familial Aggregation. American Journal of Epidemiology. 134(3). 298–309. 12 indexed citations
14.
Laska, Eugene, Morris Meisner, & Carole Siegel. (1988). Estimating the Size of a Population from a Single Sample. Biometrics. 44(2). 461–461. 23 indexed citations
15.
Laska, Eugene & Morris Meisner. (1987). Statistical Methods and Applications of Bioassay. The Annual Review of Pharmacology and Toxicology. 27(1). 385–397. 5 indexed citations
16.
Laska, Eugene & Morris Meisner. (1985). A Variational Approach to Optimal Two-Treatment Crossover Designs: Application to Carryover-Effect Models. Journal of the American Statistical Association. 80(391). 704–710. 54 indexed citations
17.
Kushner, H. B. & Morris Meisner. (1984). Formulas for zonal polynomials. Journal of Multivariate Analysis. 14(3). 336–347. 6 indexed citations
18.
Kushner, H. B., Arnold Lebow, & Morris Meisner. (1981). Eigenfunctions of expected value operators in the Wishart distribution, II. Journal of Multivariate Analysis. 11(3). 418–433. 10 indexed citations
19.
Takeuchi, Kei, Morris Meisner, & Joseph Wanderling. (1973). Asymptotic efficiencies of estiamtors of location a comutational study. Journal of Statistical Computation and Simulation. 2(4). 375–390. 3 indexed citations
20.
Birnbaum, Allan, Eugene Laska, & Morris Meisner. (1971). Optimally Robust Linear Estimators of Location. Journal of the American Statistical Association. 66(334). 302–310. 8 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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