Janice Pan
About
In The Last Decade
Janice Pan
9 papers receiving 282 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 261
- Signal Processing 62
- Sociology and Political Science 39
- Computer Networks and Communications 38
- Media Technology 34
Countries citing papers authored by Janice Pan
This map shows the geographic impact of Janice Pan'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 Janice Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janice Pan more than expected).
Fields of papers citing papers by Janice Pan
This network shows the impact of papers produced by Janice Pan. 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 Janice Pan. The network helps show where Janice Pan may publish in the future.
Co-authorship network of co-authors of Janice Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Janice Pan. A scholar is included among the top collaborators of Janice Pan 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 Janice Pan. Janice Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 47 | |
| 3 | 5 | |
| 4 | 84 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 100 | |
| 8 | 3 | |
| 9 | 29 |
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.