Pushkar Gole
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant Disease Management Techniques
- Date Palm Research Studies
- Greenhouse Technology and Climate Control
- Plant Virus Research Studies
Papers in
-
- Smart Agriculture and AI 6
- Plant Virus Research Studies 2
- Plant Disease Management Techniques 2
- Leaf Properties and Growth Measurement 2
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- Blockchain Technology Applications and Security 2
- Co-authors
- Punam Bedi (10 shared papers)Neha Gupta (2 shared papers)Sudeep Marwaha (4 shared papers)Md. Ashraful Haque (2 shared papers)Vinita Jindal (1 shared paper)Subrata Dutta (1 shared paper)Mukesh Kumar (1 shared paper)
- Journals
- Frontiers in Plant Science (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Expert Systems with Applications (1 paper)Artificial Intelligence in Agriculture (1 paper)SN Computer Science (1 paper)
- Partner nations
- India
In The Last Decade
Pushkar Gole
10 papers receiving 271 citations
Pushkar Gole's Hit Papers
Peers
Comparison fields: 5 of 60
- Analytical Chemistry 87
- Plant Science 232
- Modeling and Simulation 17
- Ecology 34
- Information Systems 22
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-authors
The 7 scholars most cited alongside Pushkar Gole, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network Hit paper breakdown → | 2021 | 207 |
| 2 | 2023 | 23 | |
| 3 | 2021 | 21 | |
| 4 | 2020 | 18 | |
| 5 | 2024 | 10 | |
| 6 | 2021 | 8 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2023 | 0 |
About Pushkar Gole
Pushkar Gole is a scholar working on Plant Science, Information Systems, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Management Information Systems, having authored 11 papers that have together received 294 indexed citations. Recurring topics across this work include Smart Agriculture and AI (6 papers), Blockchain Technology Applications and Security (2 papers), Plant Virus Research Studies (2 papers), Plant Disease Management Techniques (2 papers), Leaf Properties and Growth Measurement (2 papers), Cell Image Analysis Techniques (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Analytical Chemistry (87 citations), Plant Science (232 citations), Modeling and Simulation (17 citations), Ecology (34 citations) and Information Systems (22 citations). Pushkar Gole has collaborated with scholars based in India. Frequent co-authors include Punam Bedi, Neha Gupta, Sudeep Marwaha, Md. Ashraful Haque, Vinita Jindal, Subrata Dutta and Mukesh Kumar. Their work appears in journals such as Frontiers in Plant Science, Computer Methods and Programs in Biomedicine, Expert Systems with Applications, Artificial Intelligence in Agriculture and SN Computer Science.
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.