Neil H. Timm
- Statistics and Probability top 0.5%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 10%
- Statistics, Probability and Uncertainty top 2%
- Genetics
- Co-authors
- George T. DuncanMarie DavidianDavid M. GiltinanJames E. CarlsonKevin KimGregory C. ReinselRaja P. VeluEric R. Ziegel
- Topics
- Advanced Statistical Methods and Models (7 papers)Statistical Methods in Clinical Trials (4 papers)Optimal Experimental Design Methods (4 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United States
In The Last Decade
Neil H. Timm
22 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Statistics and Probability 672
- Management Science and Operations Research 219
- Artificial Intelligence 151
- Statistics, Probability and Uncertainty 131
- Genetics 104
Countries citing papers authored by Neil H. Timm
This map shows the geographic impact of Neil H. Timm'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 Neil H. Timm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil H. Timm more than expected).
Fields of papers citing papers by Neil H. Timm
This network shows the impact of papers produced by Neil H. Timm. 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 Neil H. Timm. The network helps show where Neil H. Timm may publish in the future.
Co-authorship network of co-authors of Neil H. Timm
This figure shows the co-authorship network connecting the top 25 collaborators of Neil H. Timm. A scholar is included among the top collaborators of Neil H. Timm 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 Neil H. Timm. Neil H. Timm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 407 | |
| 5 | 2 | |
| 6 | 24 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 44 | |
| 12 | 22 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | Multivariate Analysis: With Applications in Education and Psychology.breakdown → | 417 |
| 16 | 42 | |
| 17 | Analysis of Variance Through Full Rank Models. | 22 |
| 18 | 52 | |
| 19 | 0 | |
| 20 | 65 |
About Neil H. Timm
Neil H. Timm is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (7 papers), Statistical Methods in Clinical Trials (4 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Statistics and Probability (672 citations), Statistics, Probability and Uncertainty (131 citations) and Management Science and Operations Research (219 citations). Neil H. Timm has collaborated with scholars based in United States. Frequent co-authors include George T. Duncan, Marie Davidian, David M. Giltinan, James E. Carlson, Kevin Kim, Gregory C. Reinsel, Raja P. Velu, Eric R. Ziegel, Tammy A. Mieczkowski and Martin B. Brodsky. Their work appears in journals such as Psychological Bulletin, Journal of the American Statistical Association and Technometrics.
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.