Max Engelhardt

3.4k total citations
90 papers, 2.3k citations indexed

About

Max Engelhardt is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Max Engelhardt has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Statistics and Probability, 30 papers in Statistics, Probability and Uncertainty and 11 papers in Management Science and Operations Research. Recurrent topics in Max Engelhardt's work include Statistical Distribution Estimation and Applications (38 papers), Probabilistic and Robust Engineering Design (28 papers) and Advanced Statistical Methods and Models (19 papers). Max Engelhardt is often cited by papers focused on Statistical Distribution Estimation and Applications (38 papers), Probabilistic and Robust Engineering Design (28 papers) and Advanced Statistical Methods and Models (19 papers). Max Engelhardt collaborates with scholars based in United States, Germany and Austria. Max Engelhardt's co-authors include Lee J. Bain, Wallace E. Franck, F. T. Wright, W. D. Ray, David W. Salt, Maurice C. Bryson, Eric R. Ziegel, Corwin L. Atwood, James Wyckoff and Antoni Sánchez‐Ferrer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Max Engelhardt

82 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Engelhardt United States 25 1.2k 827 400 241 191 90 2.3k
G. K. Bhattacharyya United States 24 1.2k 1.0× 786 1.0× 439 1.1× 224 0.9× 214 1.1× 58 2.6k
Harry F. Martz United States 21 995 0.8× 1.2k 1.4× 883 2.2× 305 1.3× 235 1.2× 83 2.2k
J. Leroy Folks United States 16 1.0k 0.8× 431 0.5× 247 0.6× 201 0.8× 364 1.9× 30 2.4k
C. D. Lai New Zealand 21 1.4k 1.2× 1.1k 1.3× 547 1.4× 315 1.3× 261 1.4× 77 2.4k
Asit P. Basu United States 26 2.3k 1.8× 1.5k 1.8× 893 2.2× 518 2.1× 365 1.9× 93 3.5k
Luis A. Escobar United States 24 1.5k 1.2× 1.3k 1.5× 1.4k 3.6× 405 1.7× 140 0.7× 76 3.4k
Govind S. Mudholkar United States 24 2.4k 2.0× 1.5k 1.8× 322 0.8× 298 1.2× 458 2.4× 124 4.3k
Hon Keung Tony Ng United States 30 2.3k 1.8× 1.5k 1.9× 877 2.2× 370 1.5× 186 1.0× 183 3.6k
Fabrizio Ruggeri Italy 23 530 0.4× 688 0.8× 198 0.5× 302 1.3× 446 2.3× 122 2.0k
M. S. Nikulin France 14 592 0.5× 274 0.3× 250 0.6× 101 0.4× 180 0.9× 49 1.3k

Countries citing papers authored by Max Engelhardt

Since Specialization
Citations

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

Fields of papers citing papers by Max Engelhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Engelhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Max Engelhardt. A scholar is included among the top collaborators of Max Engelhardt 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 Max Engelhardt. Max Engelhardt 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.
Sánchez‐Ferrer, Antoni & Max Engelhardt. (2025). Determination of the water diffusivity dependence with the flow rate using a DVS equipment. European Journal of Wood and Wood Products. 83(1). 1 indexed citations
2.
Engelhardt, Max, H. Albert Gilg, Klaus Richter, & Antoni Sánchez‐Ferrer. (2024). Adhesion-related properties of silver birch (Betula Pendula Roth) wood as affected by hydrophilic extraction. Wood Science and Technology. 58(1). 379–402. 1 indexed citations
3.
Sánchez‐Ferrer, Antoni, Max Engelhardt, & Klaus Richter. (2023). Anisotropic wood–water interactions determined by gravimetric vapor sorption experiments. Cellulose. 30(6). 3869–3885. 11 indexed citations
4.
Engelhardt, Max, et al.. (2023). Wood-water interactions of primers to enhance wood-polyurethane bonding performance. Wood Science and Technology. 58(1). 135–160. 5 indexed citations
5.
Opdenbosch, Daniel Van, et al.. (2023). Material characterization of pressed and unpressed wood–mycelium composites derived from two Trametes species. Environmental Technology & Innovation. 30. 103063–103063. 29 indexed citations
6.
Bain, Lee J., Max Engelhardt, & D. H. Williams. (1990). Confidence Bounds For The Binomial N Parameter: A Classical Approach. Communications in Statistics - Simulation and Computation. 19(1). 335–348. 2 indexed citations
7.
Bain, Lee J., et al.. (1985). Goodness-of-fit tests for the weibull distribution with unknown parameters and heavy censoring. Journal of Statistical Computation and Simulation. 21(3-4). 213–225. 13 indexed citations
8.
Bain, Lee J., et al.. (1983). Goodness‐of‐fit tests for the weibull dictribution with unknown parameters and censored sampling. Journal of Statistical Computation and Simulation. 18(1). 59–69. 9 indexed citations
10.
11.
Wyckoff, James & Max Engelhardt. (1980). Cramér-Rao lower bounds for estimators based on censored data. Communication in Statistics- Theory and Methods. 9(13). 1385–1399. 3 indexed citations
12.
Wyckoff, James, Lee J. Bain, & Max Engelhardt. (1980). Some complete and censored sampling results for the three-parameter weibull distribution. Journal of Statistical Computation and Simulation. 11(2). 139–151. 23 indexed citations
13.
Wyckoff, James & Max Engelhardt. (1979). Inferential Procedures on the Shape Parameter of a Gamma Distribution from Censored Data. Journal of the American Statistical Association. 74(368). 866–871. 1 indexed citations
14.
Engelhardt, Max & Lee J. Bain. (1978). Construction of Optimal Unbiased Inference Procedures for the Parameters of the Gamma Distribution. Technometrics. 20(4). 485–489. 12 indexed citations
15.
Engelhardt, Max & Lee J. Bain. (1977). Simplified Statistical Procedures for the Weibull or Extreme-Value Distribution. Technometrics. 19(3). 323–331. 58 indexed citations
16.
Bain, Lee J., Max Engelhardt, & F. T. Wright. (1977). Inferential procedures for the truncated exponential distribution. Communication in Statistics- Theory and Methods. 6(2). 103–111. 3 indexed citations
17.
Engelhardt, Max & Lee J. Bain. (1977). Uniformly Most Powerful Unbiased Tests on the Scale Parameter of a Gamma Distribution with a Nuisance Shape Parameter. Technometrics. 19(1). 77–77. 14 indexed citations
18.
Engelhardt, Max & Lee J. Bain. (1977). Uniformly Most Powerful Unbiased Tests on the Scale Parameter of a Gamma Distribution With a Nuisance Shape Parameter. Technometrics. 19(1). 77–81. 26 indexed citations
19.
Engelhardt, Max & Lee J. Bain. (1975). Tests of Two-Parameter Exponentialty Against Three-Parameter Weibull Alternatives. Technometrics. 17(3). 353–356. 7 indexed citations
20.
Bain, Lee J. & Max Engelhardt. (1975). A Two-Moment Chi-Square Approximation for the Statistic Log. Journal of the American Statistical Association. 70(352). 948–950. 43 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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