William Wasswa
About
In The Last Decade
William Wasswa
21 papers receiving 507 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 336
- Epidemiology 151
- Radiology, Nuclear Medicine and Imaging 123
- Health Informatics 107
- Computer Vision and Pattern Recognition 96
Countries citing papers authored by William Wasswa
This map shows the geographic impact of William Wasswa'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 William Wasswa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Wasswa more than expected).
Fields of papers citing papers by William Wasswa
This network shows the impact of papers produced by William Wasswa. 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 William Wasswa. The network helps show where William Wasswa may publish in the future.
Co-authorship network of co-authors of William Wasswa
This figure shows the co-authorship network connecting the top 25 collaborators of William Wasswa. A scholar is included among the top collaborators of William Wasswa 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 William Wasswa. William Wasswa 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 | 0 | |
| 3 | Ethical and regulatory challenges of large language models in medicine breakdown → | 105 |
| 4 | 2 | |
| 5 | 23 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 21 | |
| 12 | 6 | |
| 13 | 76 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 55 | |
| 17 | 181 | |
| 18 | A Review of Applications of Image Analysis and Machine Learning Techniques in Automated Diagnosis and Classification of Cervical Cancer from Pap-smear Images | 5 |
| 19 | 3 | |
| 20 | 2 |
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.