Dilli Paudel

771 total citations · 2 hit papers
8 papers, 463 citations indexed

About

Dilli Paudel is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Dilli Paudel has authored 8 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Ecology. Recurrent topics in Dilli Paudel's work include Remote Sensing in Agriculture (5 papers), Climate change impacts on agriculture (5 papers) and Smart Agriculture and AI (4 papers). Dilli Paudel is often cited by papers focused on Remote Sensing in Agriculture (5 papers), Climate change impacts on agriculture (5 papers) and Smart Agriculture and AI (4 papers). Dilli Paudel collaborates with scholars based in Netherlands, France and United States. Dilli Paudel's co-authors include Ioannis N. Athanasiadis, Sjoukje Osinga, Allard de Wit, Hendrik Boogaard, Sander Janssen, Christos Pylianidis, Spiros Mouzakitis, Diego Marcos, Marijn van der Velde and Martin Claverie and has published in prestigious journals such as Agricultural and Forest Meteorology, Field Crops Research and Environmental Research Letters.

In The Last Decade

Dilli Paudel

7 papers receiving 439 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning for large-scale crop yield forecasting

2020 211 citations Dilli Paudel, Hendrik Boogaard et al. Agricultural Systems profile →
Interpretability of deep learning models for crop yield forecasting

2023 73 citations Dilli Paudel, Allard de Wit et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dilli Paudel Netherlands	6	304	143	83	70	45	8	463
Yogesh Anand Rajwade India	13	380 1.3×	131 0.9×	71 0.9×	30 0.4×	48 1.1×	34	514
Saeed Khaki United States	6	296 1.0×	181 1.3×	81 1.0×	39 0.6×	30 0.7×	8	396
Mrinmoy Ray India	16	240 0.8×	63 0.4×	102 1.2×	33 0.5×	70 1.6×	71	601
Zulong Lai China	4	240 0.8×	183 1.3×	55 0.7×	35 0.5×	42 0.9×	8	363
Tiecheng Bai China	15	195 0.6×	174 1.2×	84 1.0×	32 0.5×	108 2.4×	45	526
Alberto González-Sánchez Netherlands	9	203 0.7×	139 1.0×	45 0.5×	22 0.3×	43 1.0×	23	516
Alessia Cogato Italy	11	351 1.2×	192 1.3×	54 0.7×	45 0.6×	98 2.2×	26	582
Huiren Tian China	10	227 0.7×	244 1.7×	53 0.6×	36 0.5×	82 1.8×	12	439

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-authorship network of co-authors of Dilli Paudel

This figure shows the co-authorship network connecting the top 25 collaborators of Dilli Paudel. A scholar is included among the top collaborators of Dilli Paudel 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 Dilli Paudel. Dilli Paudel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Athanasiadis, Ioannis N., et al.. (2025). Transdisciplinary coordination is essential for advancing agricultural modeling with machine learning. One Earth. 8(4). 101233–101233. 4 indexed citations

2.

Knapen, Rob, et al.. (2025). Efficient and scalable crop growth simulations using standard big data and distributed computing technologies. Computers and Electronics in Agriculture. 236. 110392–110392.

3.

Paudel, Dilli, et al.. (2024). Beyond assimilation of leaf area index: Leveraging additional spectral information using machine learning for site-specific soybean yield prediction. Agricultural and Forest Meteorology. 351. 110022–110022. 8 indexed citations

4.

Paudel, Dilli, Diego Marcos, Allard de Wit, Hendrik Boogaard, & Ioannis N. Athanasiadis. (2023). A weakly supervised framework for high-resolution crop yield forecasts. Environmental Research Letters. 18(9). 94062–94062. 8 indexed citations

5.

Paudel, Dilli, Allard de Wit, Hendrik Boogaard, et al.. (2023). Interpretability of deep learning models for crop yield forecasting. Computers and Electronics in Agriculture. 206. 107663–107663. 73 indexed citations breakdown →

6.

Paudel, Dilli, Hendrik Boogaard, Allard de Wit, et al.. (2021). Machine learning for regional crop yield forecasting in Europe. Field Crops Research. 276. 108377–108377. 83 indexed citations

7.

Osinga, Sjoukje, Dilli Paudel, Spiros Mouzakitis, & Ioannis N. Athanasiadis. (2021). Big data in agriculture: Between opportunity and solution. Agricultural Systems. 195. 103298–103298. 76 indexed citations

8.

Paudel, Dilli, Hendrik Boogaard, Allard de Wit, et al.. (2020). Machine learning for large-scale crop yield forecasting. Agricultural Systems. 187. 103016–103016. 211 indexed citations breakdown →

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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