Dola Das
About
In The Last Decade
Dola Das
9 papers receiving 319 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Health Information Management 277
- Artificial Intelligence 230
- Complementary and alternative medicine 51
- Radiology, Nuclear Medicine and Imaging 40
- Endocrinology, Diabetes and Metabolism 34
Countries citing papers authored by Dola Das
This map shows the geographic impact of Dola Das'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 Dola Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dola Das more than expected).
Fields of papers citing papers by Dola Das
This network shows the impact of papers produced by Dola Das. 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 Dola Das. The network helps show where Dola Das may publish in the future.
Co-authorship network of co-authors of Dola Das
This figure shows the co-authorship network connecting the top 25 collaborators of Dola Das. A scholar is included among the top collaborators of Dola Das 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 Dola Das. Dola Das 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers breakdown → | 341 |
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.