David L. Wallace
Impact in
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Artificial Intelligence top 2%
- Authorship Attribution and Profiling
- Topic Modeling
- Natural Language Processing Techniques
- Hate Speech and Cyberbullying Detection
- Advanced Text Analysis Techniques
Papers in
-
- Advanced Statistical Methods and Models 4
- Co-authors
- Frederick MostellerPaul E. MeehlMark PickfordSophie JonesNeda Haseeb KhanJohn W. TukeyAlex WaigandtLeAdelle Phelps
- Journals
- Journal of the American Statistical Association (6 papers)Journal of Burn Care & Research (6 papers)Injury (2 papers)Journal of Plastic Reconstructive & Aesthetic Surgery (2 papers)Burns (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David L. Wallace
36 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Statistics and Probability 273
- Artificial Intelligence 702
- Statistics, Probability and Uncertainty 93
- General Decision Sciences 19
- General Social Sciences 33
Countries citing papers authored by David L. Wallace
This map shows the geographic impact of David L. Wallace'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 David L. Wallace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Wallace more than expected).
Fields of papers citing papers by David L. Wallace
This network shows the impact of papers produced by David L. Wallace. 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 David L. Wallace. The network helps show where David L. Wallace may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David L. Wallace, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 7 | |
| 7 | 2018 | 26 | |
| 8 | 2017 | 42 | |
| 9 | 2016 | 33 | |
| 10 | 2011 | 53 | |
| 11 | 2009 | 5 | |
| 12 | 2007 | 71 | |
| 13 | 1970 | 9 | |
| 14 | 1960 | 2 | |
| 15 | 1959 | 56 | |
| 16 | 1959 | 36 | |
| 17 | 1959 | 24 | |
| 18 | 1959 | 18 | |
| 19 | 1958 | 7 | |
| 20 | 1955 | 181 |
About David L. Wallace
David L. Wallace is a scholar working on Computational Mathematics, Statistics and Probability, Rehabilitation, Anesthesiology and Pain Medicine and Statistics, Probability and Uncertainty, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wound Healing and Treatments (4 papers), Advanced Statistical Methods and Models (4 papers), Burn Injury Management and Outcomes (4 papers), COVID-19 and healthcare impacts (4 papers), Telemedicine and Telehealth Implementation (3 papers), Bayesian Methods and Mixture Models (2 papers), Pain Management and Treatment (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Statistics and Probability (273 citations), Artificial Intelligence (702 citations), Statistics, Probability and Uncertainty (93 citations), General Decision Sciences (19 citations) and General Social Sciences (33 citations). David L. Wallace has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Frederick Mosteller, Paul E. Meehl, Mark Pickford, Sophie Jones, Neda Haseeb Khan, John W. Tukey, Alex Waigandt, LeAdelle Phelps, Deborah A. Miller and Amer Hussain. Their work appears in journals such as Journal of the American Statistical Association, Journal of Burn Care & Research, Injury, Journal of Plastic Reconstructive & Aesthetic Surgery and Burns.
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.