John Santerre
About
In The Last Decade
John Santerre
12 papers receiving 175 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 99
- Molecular Medicine 69
- Clinical Biochemistry 58
- Ecology 22
- Infectious Diseases 22
Countries citing papers authored by John Santerre
This map shows the geographic impact of John Santerre'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 John Santerre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Santerre more than expected).
Fields of papers citing papers by John Santerre
This network shows the impact of papers produced by John Santerre. 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 John Santerre. The network helps show where John Santerre may publish in the future.
Co-authorship network of co-authors of John Santerre
This figure shows the co-authorship network connecting the top 25 collaborators of John Santerre. A scholar is included among the top collaborators of John Santerre 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 John Santerre. John Santerre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | Using Machine Learning Methods to Predict the Movement Trajectories of the Louisiana Black Bear | 1 |
| 6 | Modeling and Application of Neural Networks for Automotive Damage Appraisals | 2 |
| 7 | Automated Spectroscopic Detection And Mapping Using ALMA and Machine LearningTechniques | 1 |
| 8 | Compressed DNA Representation for Efficient AMR Classification | 0 |
| 9 | Stationary Exercise Classification using IMUs and Deep Learning | 3 |
| 10 | Forecasting Power Consumption in Pennsylvania During the COVID-19 Pandemic: A SARIMAX Model with External COVID-19 and Unemployment Variables | 5 |
| 11 | 4 | |
| 12 | Using Machine Learning for Antimicrobial Resistant DNA Identification | 4 |
| 13 | Automated Pleural Effusion Detection on Chest X-Rays | 1 |
| 14 | 155 |
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.