Max D. Morris

109 papers receiving 8.5k citations

Max D. Morris's Hit Papers

Exploratory designs for computational experiments 1995 · 907 citations
9070+11+23Years since publication10002.0k3.0k

Peers

Max D. Morris
Comparison fields: 5 of 205
  • Statistics, Probability and Uncertainty 2.7k
  • Computational Theory and Mathematics 2.1k
  • Management Science and Operations Research 1.6k
  • Environmental Engineering 1.5k
  • Water Science and Technology 912
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Countries citing papers authored by Max D. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Max D. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Max D. Morris, 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 Max D. Morris Line = papers co-authored together Max D. Morris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Factorial Sampling Plans for Preliminary Computational Experiments
Hit paper breakdown →
19913067
2
Factorial Sampling Plans for Preliminary Computational Experiments
Hit paper breakdown →
19912177
3
Exploratory designs for computational experiments
Hit paper breakdown →
1995907
4
Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer Experiments
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1991549
5 1992479
6 1993228
7 1991149
8 200975
9 201372
10 199569
11 200060
12 201260
13 200447
14 199345
15 196542
16 199241
17 201040
18 199633
19 200833
20 200431

About Max D. Morris

Max D. Morris is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Statistics and Probability and Radiology, Nuclear Medicine and Imaging, having authored 117 papers that have together received 9.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (31 papers), Advanced Multi-Objective Optimization Algorithms (24 papers), Probabilistic and Robust Engineering Design (19 papers), Effects of Radiation Exposure (9 papers), Carcinogens and Genotoxicity Assessment (7 papers), Soil Geostatistics and Mapping (6 papers), Radiation Therapy and Dosimetry (5 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.7k citations), Computational Theory and Mathematics (2.1k citations), Management Science and Operations Research (1.6k citations), Environmental Engineering (1.5k citations) and Water Science and Technology (912 citations). Max D. Morris has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Toby J. Mitchell, Donald Ylvisaker, Henry P. Wynn, William J. Welch, R. Buck, Jerome Sacks, T. D. Jones, Emanuele Borgonovo, Stefano Tarantola and Pavana Vennapusa. Their work appears in journals such as Technometrics, The American Statistician, Journal of Statistical Planning and Inference, Journal of the American Statistical Association and Health Physics.

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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