Kul Khand

456 total citations
19 papers, 321 citations indexed

About

Kul Khand is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Kul Khand has authored 19 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 13 papers in Water Science and Technology and 4 papers in Environmental Engineering. Recurrent topics in Kul Khand's work include Plant Water Relations and Carbon Dynamics (13 papers), Hydrology and Watershed Management Studies (12 papers) and Climate variability and models (5 papers). Kul Khand is often cited by papers focused on Plant Water Relations and Carbon Dynamics (13 papers), Hydrology and Watershed Management Studies (12 papers) and Climate variability and models (5 papers). Kul Khand collaborates with scholars based in United States, Sri Lanka and Brazil. Kul Khand's co-authors include G. B. Senay, Jeppe Kjaersgaard, Izaya Numata, Stefanie Kagone, Saleh Taghvaeian, Sonaira Souza da Silva, Mark A. Cochrane, MacKenzie Friedrichs, Prasanna H. Gowda and George L. Vourlitis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Agricultural and Forest Meteorology.

In The Last Decade

Kul Khand

18 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kul Khand United States	11	272	142	58	52	51	19	321
Lalith Chandrapala Sri Lanka	5	238 0.9×	144 1.0×	80 1.4×	56 1.1×	57 1.1×	8	346
Leonardo Laipelt Brazil	9	228 0.8×	133 0.9×	65 1.1×	81 1.6×	53 1.0×	21	286
MacKenzie Friedrichs United States	8	338 1.2×	227 1.6×	78 1.3×	87 1.7×	68 1.3×	14	417
Stefanie Kagone United States	8	206 0.8×	126 0.9×	46 0.8×	42 0.8×	33 0.6×	17	259
Vanita Pandey India	10	245 0.9×	129 0.9×	92 1.6×	27 0.5×	92 1.8×	24	357
J. Chirouze France	6	280 1.0×	97 0.7×	133 2.3×	48 0.9×	60 1.2×	9	299
Diogo Martins Portugal	13	443 1.6×	151 1.1×	51 0.9×	31 0.6×	57 1.1×	17	551
Nobuhle Majozi South Africa	7	256 0.9×	146 1.0×	74 1.3×	82 1.6×	20 0.4×	10	339
Kyotaek Hwang United States	7	298 1.1×	152 1.1×	110 1.9×	72 1.4×	19 0.4×	17	382
H. Post Germany	5	218 0.8×	113 0.8×	74 1.3×	39 0.8×	53 1.0×	5	297

Countries citing papers authored by Kul Khand

Since Specialization

Citations

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

Fields of papers citing papers by Kul Khand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kul Khand

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Khand, Kul & G. B. Senay. (2024). Evaluation of streamflow predictions from LSTM models in water- and energy-limited regions in the United States. SHILAP Revista de lepidopterología. 16. 100551–100551. 10 indexed citations

Senay, G. B., et al.. (2023). Improving the Operational Simplified Surface Energy Balance Evapotranspiration Model Using the Forcing and Normalizing Operation. Remote Sensing. 15(1). 260–260. 30 indexed citations

Senay, G. B., et al.. (2023). Improvements and Evaluation of the Agro-Hydrologic VegET Model for Large-Area Water Budget Analysis and Drought Monitoring. Hydrology. 10(8). 168–168. 3 indexed citations

Kagone, Stefanie, Naga Manohar Velpuri, Kul Khand, et al.. (2023). Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region. Journal of Arid Environments. 215. 105010–105010. 9 indexed citations

Senay, G. B., MacKenzie Friedrichs, Charles Morton, et al.. (2022). Mapping actual evapotranspiration using Landsat for the conterminous United States: Google Earth Engine implementation and assessment of the SSEBop model. Remote Sensing of Environment. 275. 113011–113011. 60 indexed citations

Khand, Kul & G. B. Senay. (2022). Land Cover Change Effects on Stormflow Characteristics across Broad Hydroclimate Representative Urban Watersheds in the United States. Water. 14(14). 2256–2256.

Khand, Kul & G. B. Senay. (2021). Runoff response to directional land cover change across reference basins in the conterminous United States. Advances in Water Resources. 153. 103940–103940. 12 indexed citations

Khand, Kul, Nishan Bhattarai, Saleh Taghvaeian, et al.. (2021). Modeling Evapotranspiration of Winter Wheat Using Contextual and Pixel-Based Surface Energy Balance Models. Transactions of the ASABE. 64(2). 507–519. 5 indexed citations

Numata, Izaya, Kul Khand, Jeppe Kjaersgaard, Mark A. Cochrane, & Sonaira Souza da Silva. (2021). Forest evapotranspiration dynamics over a fragmented forest landscape under drought in southwestern Amazonia. Agricultural and Forest Meteorology. 306. 108446–108446. 14 indexed citations

10.

Khand, Kul, et al.. (2021). Dynamics of Green and Blue Water Supply Stress Index Across Major Global Cropland Basins. Frontiers in Climate. 3. 5 indexed citations

11.

Singh, R. K., et al.. (2020). A novel approach for next generation water-use mapping using Landsat and Sentinel-2 satellite data. Hydrological Sciences Journal. 65(14). 2508–2519. 18 indexed citations

12.

Ali, A., Saleh Taghvaeian, Kul Khand, Prasanna H. Gowda, & Jerry E. Moorhead. (2019). Development and Evaluation of an Agricultural Drought Index by Harnessing Soil Moisture and Weather Data. Water. 11(7). 1375–1375. 37 indexed citations

13.

Khand, Kul, et al.. (2019). A Modeling Framework for Deriving Daily Time Series of Evapotranspiration Maps Using a Surface Energy Balance Model. Remote Sensing. 11(5). 508–508. 8 indexed citations

14.

Khand, Kul, Izaya Numata, Jeppe Kjaersgaard, & George L. Vourlitis. (2017). Dry Season Evapotranspiration Dynamics over Human-Impacted Landscapes in the Southern Amazon Using the Landsat-Based METRIC Model. Remote Sensing. 9(7). 706–706. 33 indexed citations

15.

Khand, Kul, Jeppe Kjaersgaard, Christopher Hay, & Xinhua Jia. (2017). Estimating Impacts of Agricultural Subsurface Drainage on Evapotranspiration Using the Landsat Imagery-Based METRIC Model. Hydrology. 4(4). 49–49. 21 indexed citations

16.

Numata, Izaya, Kul Khand, Jeppe Kjaersgaard, Mark A. Cochrane, & Sonaira Souza da Silva. (2017). Evaluation of Landsat-Based METRIC Modeling to Provide High-Spatial Resolution Evapotranspiration Estimates for Amazonian Forests. Remote Sensing. 9(1). 46–46. 41 indexed citations

17.

Khand, Kul, Saleh Taghvaeian, & Leila Hassan-Esfahani. (2017). Mapping Annual Riparian Water Use Based on the Single-Satellite-Scene Approach. Remote Sensing. 9(8). 832–832. 10 indexed citations

18.

Kjaersgaard, Jeppe, Kul Khand, Christopher Hay, & Xinhua Jia. (2014). Estimating Evapotranspiration from Fields with and without Tile Drainage Using Remote Sensing. 1745–1753. 2 indexed citations

19.

Khand, Kul. (2014). Estimating Impacts of Subsurface Drainage on Evapotranspiration Using Remote Sensing. Open PRAIRIE (South Dakota State University). 3 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.

Explore authors with similar magnitude of impact