R Manda
About
In The Last Decade
R Manda
8 papers receiving 331 citations
Peers
Comparison fields: 5 of 65
- Surgery 124
- Molecular Biology 118
- Immunology and Allergy 102
- Pulmonary and Respiratory Medicine 89
- Oncology 88
Countries citing papers authored by R Manda
This map shows the geographic impact of R Manda'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 R Manda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Manda more than expected).
Fields of papers citing papers by R Manda
This network shows the impact of papers produced by R Manda. 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 R Manda. The network helps show where R Manda may publish in the future.
Co-authorship network of co-authors of R Manda
This figure shows the co-authorship network connecting the top 25 collaborators of R Manda. A scholar is included among the top collaborators of R Manda 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 R Manda. R Manda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A clinical decision support system using multilayer perceptron neural network to assess well being in diabetes. | 24 |
| 2 | 19 | |
| 3 | 0 | |
| 4 | 27 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 70 | |
| 8 | 166 | |
| 9 | 16 |
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.