Dilli Paudel
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
- Greenhouse Technology and Climate Control
- Leaf Properties and Growth Measurement
- Rice Cultivation and Yield Improvement
Papers in
-
- Greenhouse Technology and Climate Control 4
- Smart Agriculture and AI 4
- Wheat and Barley Genetics and Pathology 1
- Rice Cultivation and Yield Improvement 1
-
- Climate change impacts on agriculture 5
- Co-authors
- Ioannis N. Athanasiadis (7 shared papers)Sjoukje Osinga (4 shared papers)Allard de Wit (6 shared papers)Hendrik Boogaard (4 shared papers)Sander Janssen (3 shared papers)Christos Pylianidis (1 shared paper)Spiros Mouzakitis (1 shared paper)Diego Marcos (2 shared papers)
- Journals
- Computers and Electronics in Agriculture (2 papers)Agricultural Systems (2 papers)Environmental Research Letters (1 paper)One Earth (1 paper)Agricultural and Forest Meteorology (1 paper)
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Dilli Paudel
8 papers receiving 517 citations
Dilli Paudel's Hit Papers
Peers
Comparison fields: 5 of 70
- Analytical Chemistry 92
- Plant Science 344
- Ecology 156
- Ecology, Evolution, Behavior and Systematics 76
- Soil Science 30
Countries citing papers authored by Dilli Paudel
This map shows the geographic impact of Dilli Paudel'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 Dilli Paudel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dilli Paudel more than expected).
Fields of papers citing papers by Dilli Paudel
This network shows the impact of papers produced by Dilli Paudel. 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 Dilli Paudel. The network helps show where Dilli Paudel may publish in the future.
Co-authors
The 18 scholars most cited alongside Dilli Paudel, 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 | Machine learning for large-scale crop yield forecasting Hit paper breakdown → | 2020 | 240 |
| 2 | 2021 | 97 | |
| 3 | 2021 | 87 | |
| 4 | Interpretability of deep learning models for crop yield forecasting Hit paper breakdown → | 2023 | 86 |
| 5 | 2024 | 10 | |
| 6 | 2023 | 8 | |
| 7 | 2025 | 8 | |
| 8 | 2025 | 2 |
About Dilli Paudel
Dilli Paudel is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Ecology, Management Information Systems and Environmental Engineering, having authored 8 papers that have together received 538 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (5 papers), Climate change impacts on agriculture (5 papers), Greenhouse Technology and Climate Control (4 papers), Smart Agriculture and AI (4 papers), Wheat and Barley Genetics and Pathology (1 paper), Food Supply Chain Traceability (1 paper), Soil Geostatistics and Mapping (1 paper) and Rice Cultivation and Yield Improvement (1 paper). The work is most often cited by research in Analytical Chemistry (92 citations), Plant Science (344 citations), Ecology (156 citations), Ecology, Evolution, Behavior and Systematics (76 citations) and Soil Science (30 citations). Dilli Paudel has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Ioannis N. Athanasiadis, Sjoukje Osinga, Allard de Wit, Hendrik Boogaard, Sander Janssen, Christos Pylianidis, Spiros Mouzakitis, Diego Marcos, Luigi Nisini and Marijn van der Velde. Their work appears in journals such as Computers and Electronics in Agriculture, Agricultural Systems, Environmental Research Letters, One Earth and Agricultural and Forest Meteorology.
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.