Damon McDougall
- Information Systems top 5%
- Information Systems and Management top 2%
- Statistics, Probability and Uncertainty top 1%
- Public Health, Environmental and Occupational Health
- Artificial Intelligence
- Co-authors
- Amye KenallBrian A. NosekKarthik RamKaitlin ThaneyKara WooTal YarkoniC. Titus BrownJeffrey R. Spies
- Topics
- Parallel Computing and Optimization Techniques (3 papers)Distributed and Parallel Computing Systems (2 papers)Statistical and numerical algorithms (1 paper)
- Cited by
- Information Systems and ManagementStatistics, Probability and UncertaintyInformation Systems
- Journals
- eLifePlanetary and Space ScienceThe International Journal of High Performance Computing Applications
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Damon McDougall
8 papers receiving 431 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Information Systems 179
- Information Systems and Management 178
- Statistics, Probability and Uncertainty 173
- Public Health, Environmental and Occupational Health 47
- Artificial Intelligence 32
Countries citing papers authored by Damon McDougall
This map shows the geographic impact of Damon McDougall'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 Damon McDougall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damon McDougall more than expected).
Fields of papers citing papers by Damon McDougall
This network shows the impact of papers produced by Damon McDougall. 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 Damon McDougall. The network helps show where Damon McDougall may publish in the future.
Co-authorship network of co-authors of Damon McDougall
This figure shows the co-authorship network connecting the top 25 collaborators of Damon McDougall. A scholar is included among the top collaborators of Damon McDougall 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 Damon McDougall. Damon McDougall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | How open science helps researchers succeedbreakdown → | 434 |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Kalman filtering for linear wave equations with model error | 1 |
About Damon McDougall
Damon McDougall is a scholar working on Hardware and Architecture, Fluid Flow and Transfer Processes and Information Systems and Management, having authored 8 papers that have together received 455 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (2 papers) and Statistical and numerical algorithms (1 paper). The work is most often cited by research in Information Systems and Management (178 citations), Statistics, Probability and Uncertainty (173 citations) and Information Systems (179 citations). Damon McDougall has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Amye Kenall, Brian A. Nosek, Karthik Ram, Kaitlin Thaney, Kara Woo, Tal Yarkoni, C. Titus Brown, Jeffrey R. Spies, Courtney K. Soderberg and Philip E. Bourne. Their work appears in journals such as eLife, Planetary and Space Science and The International Journal of High Performance Computing Applications.
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.