Lynn Roy LaMotte
- Statistics and Probability top 1%
- Insect Science top 2%
- Genetics
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Jeffrey D. WellsR. R. HockingEarl WeidnerJames R. FuxaDonald R DrewJ A WattleworthJúlia VólaufováRichard R. Simonds
- Topics
- Advanced Statistical Methods and Models (20 papers)Statistical Methods and Bayesian Inference (8 papers)Control Systems and Identification (7 papers)
- Partner nations
- United StatesLatviaUnited Kingdom
In The Last Decade
Lynn Roy LaMotte
49 papers receiving 957 citations
Peers
Comparison fields: 5 of 141
- Statistics and Probability 329
- Insect Science 245
- Genetics 131
- Management Science and Operations Research 103
- Control and Systems Engineering 91
Countries citing papers authored by Lynn Roy LaMotte
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 33 | |
| 7 | 34 | |
| 8 | 68 | |
| 9 | 27 | |
| 10 | 70 | |
| 11 | 13 | |
| 12 | 21 | |
| 13 | 28 | |
| 14 | 2 | |
| 15 | 55 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 16 | |
| 20 | GAP ACCEPTANCE IN THE FREEWAY MERGING PROCESS | 47 |
About Lynn Roy LaMotte
Lynn Roy LaMotte is a scholar working on Statistics and Probability, Neuropsychology and Physiological Psychology and Insect Science, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (20 papers), Statistical Methods and Bayesian Inference (8 papers) and Control Systems and Identification (7 papers). The work is most often cited by research in Statistics and Probability (329 citations), Insect Science (245 citations) and Neuropsychology and Physiological Psychology (21 citations). Lynn Roy LaMotte has collaborated with scholars based in United States, Latvia and United Kingdom. Frequent 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 Katie E. Cherry. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.
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.