Mita D. Desai
About
In The Last Decade
Mita D. Desai
5 papers receiving 33 citations
Peers
Comparison fields: 5 of 22
- Computer Vision and Pattern Recognition 22
- Artificial Intelligence 15
- Molecular Biology 5
- Radiology, Nuclear Medicine and Imaging 5
- Media Technology 3
Countries citing papers authored by Mita D. Desai
This map shows the geographic impact of Mita D. Desai'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 Mita D. Desai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mita D. Desai more than expected).
Fields of papers citing papers by Mita D. Desai
This network shows the impact of papers produced by Mita D. Desai. 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 Mita D. Desai. The network helps show where Mita D. Desai may publish in the future.
Co-authorship network of co-authors of Mita D. Desai
This figure shows the co-authorship network connecting the top 25 collaborators of Mita D. Desai. A scholar is included among the top collaborators of Mita D. Desai 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 Mita D. Desai. Mita D. Desai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | A new method of synthetic aperture radar image reconstruction using modified convolution back-projection algorithm | 3 |
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.