Dilli Paudel

771 citations
8 papers · 463 · 2 hit papers · h-index 6

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Greenhouse Technology and Climate Control
    • Leaf Properties and Growth Measurement
    • Rice Cultivation and Yield Improvement

Papers in

Dilli Paudel

7 papers receiving 439 citations

Dilli Paudel's Hit Papers

Interpretability of deep learning models for crop yield forecasting 2023 · 73 citations
730+2+4Years since publication50100150200

Peers

Dilli Paudel
Comparison fields: 5 of 63
  • Analytical Chemistry 83
  • Plant Science 304
  • Ecology 143
  • Ecology, Evolution, Behavior and Systematics 70
  • Soil Science 28
Replace Alessia Cogato with:
Alessia Cogato Italy
Yogesh Anand Rajwade India
Alberto González-Sánchez Netherlands
Tiecheng Bai China
Zulong Lai China
Mrinmoy Ray India
Narendra Singh Chandel India
Vivekananda M. Byrareddy Australia
Therese W. Berge Norway
Dilli Paudel relative to Alessia Cogato Italy Alessia Cogato's profile →
Citations per field
00.5×1.5×2.5×
Alessia Cogato · 1×
Citations per year

Countries citing papers authored by Dilli Paudel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dilli Paudel Line = papers co-authored together Dilli Paudel links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Machine learning for large-scale crop yield forecasting
Hit paper breakdown →
2020211
2 202183
3 202176
4
Interpretability of deep learning models for crop yield forecasting
Hit paper breakdown →
202373
5 20238
6 20248
7 20254
8 20250

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 463 indexed citations. Recurring topics across this work include Climate change impacts on agriculture (5 papers), Remote Sensing in Agriculture (5 papers), Greenhouse Technology and Climate Control (4 papers), Smart Agriculture and AI (4 papers), Wheat and Barley Genetics and Pathology (1 paper), Soil Geostatistics and Mapping (1 paper), Food Supply Chain Traceability (1 paper) and Rice Cultivation and Yield Improvement (1 paper). The work is most often cited by research in Analytical Chemistry (83 citations), Plant Science (304 citations), Ecology (143 citations), Ecology, Evolution, Behavior and Systematics (70 citations) and Soil Science (28 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, Field Crops Research, One Earth and Environmental Research Letters.

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.

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