Skyler Speakman
About
In The Last Decade
Skyler Speakman
19 papers receiving 163 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 105
- Epidemiology 36
- Safety Research 34
- Statistical and Nonlinear Physics 18
- Computer Vision and Pattern Recognition 16
Countries citing papers authored by Skyler Speakman
This map shows the geographic impact of Skyler Speakman'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 Skyler Speakman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Skyler Speakman more than expected).
Fields of papers citing papers by Skyler Speakman
This network shows the impact of papers produced by Skyler Speakman. 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 Skyler Speakman. The network helps show where Skyler Speakman may publish in the future.
Co-authorship network of co-authors of Skyler Speakman
This figure shows the co-authorship network connecting the top 25 collaborators of Skyler Speakman. A scholar is included among the top collaborators of Skyler Speakman 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 Skyler Speakman. Skyler Speakman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Data-level Linkage of Multiple Surveys for Improved Understanding of Global Health Challenges. | 1 |
| 12 | Detection of Anomalous Patterns Associated with the Impact of Medications on 30-Day Hospital Readmission Rates in Diabetes Care. | 3 |
| 13 | Successes and Misses of Global Health Development: Detecting Temporal Concept Drift of Under-5 Mortality Prediction Models with Bias Scan. | 1 |
| 14 | 16 | |
| 15 | Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning. | 11 |
| 16 | 43 | |
| 17 | Anomalous Pattern Detection in Activations and Reconstruction Error of Autoencoders | 1 |
| 18 | 4 | |
| 19 | 26 | |
| 20 | 20 |
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.