Devendra Dahal

886 total citations
36 papers, 658 citations indexed

About

Devendra Dahal is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Devendra Dahal has authored 36 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 15 papers in Ecology and 9 papers in Environmental Engineering. Recurrent topics in Devendra Dahal's work include Fire effects on ecosystems (13 papers), Rangeland and Wildlife Management (9 papers) and Hydrology and Watershed Management Studies (8 papers). Devendra Dahal is often cited by papers focused on Fire effects on ecosystems (13 papers), Rangeland and Wildlife Management (9 papers) and Hydrology and Watershed Management Studies (8 papers). Devendra Dahal collaborates with scholars based in United States, China and France. Devendra Dahal's co-authors include Bruce W. Pengra, Bruce K. Wylie, Thomas R. Loveland, Stephen P. Boyte, Suming Jin, Claudia Young, Shuguang Liu, Alisa L. Gallant, Zhe Zhu and Curtis E. Woodcock and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Devendra Dahal

35 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devendra Dahal United States 15 419 393 194 112 91 36 658
Calli B. Jenkerson United States 7 429 1.0× 409 1.0× 237 1.2× 128 1.1× 47 0.5× 10 692
Yanbiao Xi China 13 475 1.1× 357 0.9× 273 1.4× 84 0.8× 58 0.6× 25 743
David Aragonés Spain 13 276 0.7× 254 0.6× 137 0.7× 56 0.5× 112 1.2× 27 530
Wenjie Ji United States 11 214 0.5× 317 0.8× 243 1.3× 72 0.6× 101 1.1× 18 584
Diego de Abelleyra Argentina 12 401 1.0× 280 0.7× 172 0.9× 111 1.0× 52 0.6× 30 736
Grit Kirches Italy 10 322 0.8× 466 1.2× 174 0.9× 178 1.6× 35 0.4× 15 690
Eugene A. Fosnight United States 5 401 1.0× 477 1.2× 221 1.1× 127 1.1× 85 0.9× 10 721
Evan R. DeLancey Canada 12 512 1.2× 584 1.5× 261 1.3× 112 1.0× 53 0.6× 18 857
Jiawei Xu China 11 381 0.9× 403 1.0× 147 0.8× 196 1.8× 51 0.6× 42 777
Sébastien Rapinel France 16 612 1.5× 501 1.3× 358 1.8× 121 1.1× 78 0.9× 39 923

Countries citing papers authored by Devendra Dahal

Since Specialization
Citations

This map shows the geographic impact of Devendra Dahal'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 Devendra Dahal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devendra Dahal more than expected).

Fields of papers citing papers by Devendra Dahal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devendra Dahal. 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 Devendra Dahal. The network helps show where Devendra Dahal may publish in the future.

Co-authorship network of co-authors of Devendra Dahal

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

All Works

20 of 20 papers shown
1.
2.
Dahal, Devendra, et al.. (2024). Analyzing Climate Dynamics and Developing Machine Learning Models for Flood Prediction in Sacramento, California. 1(1). 10003–10003. 6 indexed citations
3.
4.
Dahal, Devendra, et al.. (2024). Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models. SHILAP Revista de lepidopterología. 6(4). 1026–1044. 9 indexed citations
5.
Dahal, Devendra, et al.. (2024). The Role of Reclaimed Water in Urban Flood Management: Public Perception and Acceptance. 14(1). 1–1. 2 indexed citations
6.
Boyte, Stephen P., et al.. (2023). Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions. Biological Invasions. 25(6). 2023–2041. 2 indexed citations
7.
8.
Wylie, Bruce K., Deborah J. Bathke, Yared Bayissa, et al.. (2021). Monitoring Climate Impacts on Annual Forage Production across U.S. Semi-Arid Grasslands. Remote Sensing. 14(1). 4–4. 13 indexed citations
9.
Pastick, Neal J., et al.. (2020). Characterizing Land Surface Phenology and Exotic Annual Grasses in Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony. Remote Sensing. 12(4). 725–725. 43 indexed citations
10.
Wylie, Bruce K., Michael J. Hayes, Brian Wardlow, et al.. (2019). Monitoring Drought Impact on Annual Forage Production in Semi-Arid Grasslands: A Case Study of Nebraska Sandhills. Remote Sensing. 11(18). 2106–2106. 18 indexed citations
11.
Dahal, Devendra, Bruce K. Wylie, & Daniel M. Howard. (2018). Rapid Crop Cover Mapping for the Conterminous United States. Scientific Reports. 8(1). 8631–8631. 15 indexed citations
12.
Boyte, Stephen P., Bruce K. Wylie, Matthew Rigge, & Devendra Dahal. (2017). Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA. GIScience & Remote Sensing. 55(3). 376–399. 42 indexed citations
13.
Zhu, Zhe, Alisa L. Gallant, Curtis E. Woodcock, et al.. (2016). Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative. ISPRS Journal of Photogrammetry and Remote Sensing. 122. 206–221. 151 indexed citations
14.
Wylie, Bruce K., Daniel M. Howard, Devendra Dahal, et al.. (2016). Grassland and Cropland Net Ecosystem Production of the U.S. Great Plains: Regression Tree Model Development and Comparative Analysis. Remote Sensing. 8(11). 944–944. 14 indexed citations
15.
Huang, Shengli, Shuguang Liu, Jinxun Liu, et al.. (2015). Projecting the spatiotemporal carbon dynamics of the Greater Yellowstone Ecosystem from 2006 to 2050. Carbon Balance and Management. 10(1). 7–7. 3 indexed citations
16.
Wu, Yiping, et al.. (2015). Projection of corn production and stover-harvesting impacts on soil organic carbon dynamics in the U.S. Temperate Prairies. Scientific Reports. 5(1). 10830–10830. 14 indexed citations
17.
Huang, Shengli, et al.. (2015). Spatial variations in immediate greenhouse gases and aerosol emissions and resulting radiative forcing from wildfires in interior Alaska. Theoretical and Applied Climatology. 123(3-4). 581–592. 11 indexed citations
18.
Rover, Jennifer, et al.. (2014). A prototype for automation of land-cover products from Landsat Surface Reflectance Data Records. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
19.
Dahal, Devendra, Shuguang Liu, & Jennifer Oeding. (2014). The Carbon Cycle and Hurricanes in the United States between 1900 and 2011. Scientific Reports. 4(1). 5197–5197. 15 indexed citations
20.
Huang, Shengli, Suming Jin, Devendra Dahal, et al.. (2013). Reconstructing satellite images to quantify spatially explicit land surface change caused by fires and succession: A demonstration in the Yukon River Basin of interior Alaska. ISPRS Journal of Photogrammetry and Remote Sensing. 79. 94–105. 19 indexed citations

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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