Lynn Roy LaMotte

1.7k total citations
54 papers, 1.1k citations indexed

About

Lynn Roy LaMotte is a scholar working on Statistics and Probability, Insect Science and Control and Systems Engineering. According to data from OpenAlex, Lynn Roy LaMotte has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 8 papers in Insect Science and 7 papers in Control and Systems Engineering. Recurrent topics in Lynn Roy LaMotte's work include Advanced Statistical Methods and Models (20 papers), Statistical Methods and Bayesian Inference (8 papers) and Control Systems and Identification (7 papers). Lynn Roy LaMotte is often cited by papers focused on Advanced Statistical Methods and Models (20 papers), Statistical Methods and Bayesian Inference (8 papers) and Control Systems and Identification (7 papers). Lynn Roy LaMotte collaborates with scholars based in United States, United Kingdom and Latvia. Lynn Roy LaMotte's co-authors include Jeffrey D. Wells, R. R. Hocking, Earl Weidner, James R. Fuxa, Donald R Drew, J A Wattleworth, Júlia Vólaufová, Richard R. Simonds, Maurício Osvaldo Moura and Robin McGoey and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Lynn Roy LaMotte

49 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lynn Roy LaMotte United States 19 329 245 131 103 91 54 1.1k
Ruth Marcus Israel 14 920 2.8× 240 1.0× 96 0.7× 651 6.3× 19 0.2× 43 1.9k
Samuel D. Oman Israel 15 326 1.0× 72 0.3× 27 0.2× 48 0.5× 24 0.3× 51 699
Wolfgang Trutschnig Austria 18 332 1.0× 40 0.2× 32 0.2× 240 2.3× 39 0.4× 83 1.0k
J. J. Miller United States 20 159 0.5× 34 0.1× 93 0.7× 40 0.4× 15 0.2× 88 1.8k
David Birkes United States 13 214 0.7× 16 0.1× 240 1.8× 83 0.8× 35 0.4× 32 761
Bernd Streitberg Germany 9 84 0.3× 43 0.2× 34 0.3× 35 0.3× 13 0.1× 15 660
Emil Spjøtvoll Norway 12 388 1.2× 17 0.1× 76 0.6× 166 1.6× 33 0.4× 28 1.1k
Donald S. Burdick United States 18 77 0.2× 146 0.6× 157 1.2× 134 1.3× 24 0.3× 34 1.3k
Magyar Tudományos Akadémia 12 69 0.2× 148 0.6× 40 0.3× 38 0.4× 11 0.1× 27 940
Jérôme Saracco France 18 302 0.9× 16 0.1× 61 0.5× 49 0.5× 39 0.4× 74 959

Countries citing papers authored by Lynn Roy LaMotte

Since Specialization
Citations

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

Fields of papers citing papers by Lynn Roy LaMotte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynn Roy LaMotte. 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 Lynn Roy LaMotte. The network helps show where Lynn Roy LaMotte may publish in the future.

Co-authorship network of co-authors of Lynn Roy LaMotte

This figure shows the co-authorship network connecting the top 25 collaborators of Lynn Roy LaMotte. A scholar is included among the top collaborators of Lynn Roy LaMotte 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 Lynn Roy LaMotte. Lynn Roy LaMotte 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.
LaMotte, Lynn Roy. (2023). Testing ANOVA effects: A resolution for unbalanced models. Communication in Statistics- Theory and Methods. 1–11.
2.
LaMotte, Lynn Roy. (2019). A formula for Type III sums of squares. Communication in Statistics- Theory and Methods. 49(13). 3126–3136. 2 indexed citations
3.
LaMotte, Lynn Roy, et al.. (2019). A comparison of four methods of inverse prediction. Communications in Statistics - Simulation and Computation. 49(3). 709–716. 2 indexed citations
4.
LaMotte, Lynn Roy. (2017). Proportional subclass numbers in two-factor ANOVA. Statistics. 52(1). 228–238. 3 indexed citations
5.
LaMotte, Lynn Roy, et al.. (2017). A Statistical Method to Construct Confidence Sets on Carrion Insect Age from Development Stage. Journal of Agricultural Biological and Environmental Statistics. 22(2). 161–171. 8 indexed citations
6.
Molina, Patricia E., Angela M. Amedee, Nicole LeCapitaine, et al.. (2014). Modulation of Gut-Specific Mechanisms by Chronic Δ 9 -Tetrahydrocannabinol Administration in Male Rhesus Macaques Infected with Simian Immunodeficiency Virus: A Systems Biology Analysis. AIDS Research and Human Retroviruses. 30(6). 567–578. 33 indexed citations
7.
Wells, Jeffrey D., et al.. (2014). An evaluation of sampling methods used to produce insect growth models for postmortem interval estimation. International Journal of Legal Medicine. 129(2). 405–410. 34 indexed citations
8.
Molina, Patricia E., Peter J. Winsauer, Ping Zhang, et al.. (2010). Cannabinoid Administration Attenuates the Progression of Simian Immunodeficiency Virus. AIDS Research and Human Retroviruses. 27(6). 585–592. 68 indexed citations
9.
Wells, Jeffrey D. & Lynn Roy LaMotte. (2009). Estimating the Postmortem Interval. 391–412. 70 indexed citations
10.
LaMotte, Lynn Roy. (2007). A direct derivation of the REML likelihood function. Statistical Papers. 48(2). 321–327. 13 indexed citations
11.
Siebert, Melissa, et al.. (2005). Cotton Boll Age Influences Feeding Preference by Brown Stink Bug (Heteroptera: Pentatomidae). Journal of Economic Entomology. 98(1). 82–87. 21 indexed citations
12.
Leonard, B. R., et al.. (2004). Boll Injury and Yield Losses in Cotton Associated with Brown Stink Bug (Heteroptera: Pentatomidae) during Flowering. Journal of Economic Entomology. 97(6). 1928–1934. 28 indexed citations
13.
Fuxa, James R., et al.. (1999). Stressors and Rearing Diseases of Trichoplusia ni: Evidence of Vertical Transmission of NPV and CPV. Journal of Invertebrate Pathology. 74(2). 149–155. 55 indexed citations
14.
Peixoto, Julio L. & Lynn Roy LaMotte. (1989). Simultaneous identification of outliers and predictors using variable selection techniques. Journal of Statistical Planning and Inference. 23(3). 327–343. 5 indexed citations
15.
Simonds, Richard R., et al.. (1986). Testing for Nonstationarity of Market: An Exact Test and Power Considerations. Journal of Financial and Quantitative Analysis. 21(2). 209–209. 29 indexed citations
16.
LaMotte, Lynn Roy. (1978). Bayes Linear Estimators. Technometrics. 20(3). 281–281. 2 indexed citations
17.
Hollingsworth, Dorothy R., et al.. (1974). Human chorionic somatomammotropin in normal adolescent primiparous pregnancy. American Journal of Obstetrics and Gynecology. 120(8). 1080–1086. 10 indexed citations
18.
LaMotte, Lynn Roy. (1972). Notes on the Covariance Matrix of a Random, Nested Anova Model. The Annals of Mathematical Statistics. 43(2). 659–662. 16 indexed citations
19.
LaMotte, Lynn Roy & R. R. Hocking. (1970). Computational Efficieucy in the Selection of Regression Variables. Technometrics. 12(1). 83–93. 64 indexed citations
20.
Drew, Donald R, et al.. (1967). GAP ACCEPTANCE IN THE FREEWAY MERGING PROCESS. Highway Research Record. 47 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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