Tanuja Sheorey
About
In The Last Decade
Tanuja Sheorey
30 papers receiving 577 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Plant Science 332
- Mechanical Engineering 139
- Analytical Chemistry 130
- Biomedical Engineering 85
- Computational Mechanics 53
Countries citing papers authored by Tanuja Sheorey
This map shows the geographic impact of Tanuja Sheorey'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 Tanuja Sheorey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanuja Sheorey more than expected).
Fields of papers citing papers by Tanuja Sheorey
This network shows the impact of papers produced by Tanuja Sheorey. 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 Tanuja Sheorey. The network helps show where Tanuja Sheorey may publish in the future.
Co-authorship network of co-authors of Tanuja Sheorey
This figure shows the co-authorship network connecting the top 25 collaborators of Tanuja Sheorey. A scholar is included among the top collaborators of Tanuja Sheorey 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 Tanuja Sheorey. Tanuja Sheorey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | Vision transformer meets convolutional neural network for plant disease classification breakdown → | 83 |
| 6 | 24 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | Trends in vision-based machine learning techniques for plant disease identification: A systematic review breakdown → | 125 |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 21 | |
| 18 | 4 | |
| 19 | 14 | |
| 20 | 18 |
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.