Douglas J. Neill
- Statistics, Probability and Uncertainty top 0.5%
- Computational Theory and Mathematics top 2%
- Civil and Structural Engineering top 10%
- Aerospace Engineering top 10%
- Management Science and Operations Research top 10%
- Co-authors
- T. K. HasselmanXiaoguang ChenRobert A. CanfieldE. H. JohnsonEric S. JohnsonDaniel S. BarkerRaymond M. Kolonay
- Topics
- Nuclear and radioactivity studies (2 papers)High-Velocity Impact and Material Behavior (2 papers)Structural Response to Dynamic Loads (2 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- Journal of Aircraft46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference38th Structures, Structural Dynamics, and Materials Conference
- Partner nations
- United States
In The Last Decade
Douglas J. Neill
6 papers receiving 404 citations
Peers
Comparison fields: 5 of 34
- Statistics, Probability and Uncertainty 319
- Computational Theory and Mathematics 218
- Civil and Structural Engineering 137
- Aerospace Engineering 104
- Management Science and Operations Research 85
Countries citing papers authored by Douglas J. Neill
This map shows the geographic impact of Douglas J. Neill'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 Douglas J. Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas J. Neill more than expected).
Fields of papers citing papers by Douglas J. Neill
This network shows the impact of papers produced by Douglas J. Neill. 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 Douglas J. Neill. The network helps show where Douglas J. Neill may publish in the future.
Co-authorship network of co-authors of Douglas J. Neill
This figure shows the co-authorship network connecting the top 25 collaborators of Douglas J. Neill. A scholar is included among the top collaborators of Douglas J. Neill 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 Douglas J. Neill. Douglas J. Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 277 | |
| 5 | 123 | |
| 6 | 18 |
About Douglas J. Neill
Douglas J. Neill is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering, having authored 6 papers that have together received 433 indexed citations. Recurring topics across this work include Nuclear and radioactivity studies (2 papers), High-Velocity Impact and Material Behavior (2 papers) and Structural Response to Dynamic Loads (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (319 citations), Computational Theory and Mathematics (218 citations) and Management Science and Operations Research (85 citations). Douglas J. Neill has collaborated with scholars based in United States. Frequent co-authors include T. K. Hasselman, Xiaoguang Chen, Robert A. Canfield, E. H. Johnson, Eric S. Johnson, Daniel S. Barker and Raymond M. Kolonay. Their work appears in journals such as Journal of Aircraft, 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference and 38th Structures, Structural Dynamics, and Materials Conference.
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.