Jessica Sena
About
In The Last Decade
Jessica Sena
9 papers receiving 117 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 61
- Artificial Intelligence 49
- Biomedical Engineering 30
- Computer Networks and Communications 24
- Radiology, Nuclear Medicine and Imaging 11
Countries citing papers authored by Jessica Sena
This map shows the geographic impact of Jessica Sena'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 Jessica Sena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Sena more than expected).
Fields of papers citing papers by Jessica Sena
This network shows the impact of papers produced by Jessica Sena. 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 Jessica Sena. The network helps show where Jessica Sena may publish in the future.
Co-authorship network of co-authors of Jessica Sena
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Sena. A scholar is included among the top collaborators of Jessica Sena 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 Jessica Sena. Jessica Sena 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 | 4 | |
| 4 | 3 | |
| 5 | 40 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 62 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 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.