Andrew Jesson
About
In The Last Decade
Andrew Jesson
6 papers receiving 196 citations
Peers
Comparison fields: 5 of 95
- Infectious Diseases 54
- Artificial Intelligence 48
- Radiology, Nuclear Medicine and Imaging 48
- Pulmonary and Respiratory Medicine 41
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Andrew Jesson
This map shows the geographic impact of Andrew Jesson'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 Andrew Jesson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Jesson more than expected).
Fields of papers citing papers by Andrew Jesson
This network shows the impact of papers produced by Andrew Jesson. 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 Andrew Jesson. The network helps show where Andrew Jesson may publish in the future.
Co-authorship network of co-authors of Andrew Jesson
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Jesson. A scholar is included among the top collaborators of Andrew Jesson 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 Andrew Jesson. Andrew Jesson 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 | 0 | |
| 3 | Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression. | 7 |
| 4 | Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models | 3 |
| 5 | 120 | |
| 6 | Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification | 15 |
| 7 | 26 | |
| 8 | 32 |
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.