Pushkar Gole
About
In The Last Decade
Pushkar Gole
10 papers receiving 271 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Plant Science 232
- Analytical Chemistry 87
- Ecology 34
- Information Systems 22
- Modeling and Simulation 17
Countries citing papers authored by Pushkar Gole
This map shows the geographic impact of Pushkar Gole'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 Pushkar Gole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushkar Gole more than expected).
Fields of papers citing papers by Pushkar Gole
This network shows the impact of papers produced by Pushkar Gole. 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 Pushkar Gole. The network helps show where Pushkar Gole may publish in the future.
Co-authorship network of co-authors of Pushkar Gole
This figure shows the co-authorship network connecting the top 25 collaborators of Pushkar Gole. A scholar is included among the top collaborators of Pushkar Gole 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 Pushkar Gole. Pushkar Gole 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 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 23 | |
| 8 | Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network breakdown → | 207 |
| 9 | 21 | |
| 10 | 8 | |
| 11 | 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.