Diana Moise
About
In The Last Decade
Diana Moise
10 papers receiving 283 citations
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 181
- Information Systems 147
- Artificial Intelligence 85
- Computer Vision and Pattern Recognition 45
- Hardware and Architecture 44
Countries citing papers authored by Diana Moise
This map shows the geographic impact of Diana Moise'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 Diana Moise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Moise more than expected).
Fields of papers citing papers by Diana Moise
This network shows the impact of papers produced by Diana Moise. 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 Diana Moise. The network helps show where Diana Moise may publish in the future.
Co-authorship network of co-authors of Diana Moise
This figure shows the co-authorship network connecting the top 25 collaborators of Diana Moise. A scholar is included among the top collaborators of Diana Moise 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 Diana Moise. Diana Moise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 70 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 53 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 36 | |
| 9 | 2 | |
| 10 | 77 |
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.