Mansoor Leh

980 total citations
20 papers, 773 citations indexed

About

Mansoor Leh is a scholar working on Water Science and Technology, Global and Planetary Change and Soil Science. According to data from OpenAlex, Mansoor Leh has authored 20 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Water Science and Technology, 7 papers in Global and Planetary Change and 6 papers in Soil Science. Recurrent topics in Mansoor Leh's work include Hydrology and Watershed Management Studies (9 papers), Soil erosion and sediment transport (5 papers) and Soil and Water Nutrient Dynamics (4 papers). Mansoor Leh is often cited by papers focused on Hydrology and Watershed Management Studies (9 papers), Soil erosion and sediment transport (5 papers) and Soil and Water Nutrient Dynamics (4 papers). Mansoor Leh collaborates with scholars based in United States, Sri Lanka and Ghana. Mansoor Leh's co-authors include Marty D. Matlock, Eric Cummings, Lawton Lanier Nalley, Indrajeet Chaubey, Sreekala G. Bajwa, Brian E. Haggard, J.V. Brahana, Andrew N. Sharpley, Greg Thoma and Jackson Cothren and has published in prestigious journals such as Agriculture Ecosystems & Environment, Journal of Animal Science and Hydrological Processes.

In The Last Decade

Mansoor Leh

20 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mansoor Leh United States 11 465 227 214 185 120 20 773
Cláudia Carvalho‐Santos Portugal 16 538 1.2× 248 1.1× 159 0.7× 122 0.7× 72 0.6× 36 765
Alphonse Kayiranga China 16 338 0.7× 231 1.0× 193 0.9× 175 0.9× 140 1.2× 33 714
Jing’an Shao China 16 292 0.6× 142 0.6× 176 0.8× 118 0.6× 88 0.7× 50 746
Dirk Vrebos Belgium 15 334 0.7× 104 0.5× 130 0.6× 186 1.0× 83 0.7× 23 689
Lichang Yin China 19 502 1.1× 224 1.0× 118 0.6× 219 1.2× 149 1.2× 37 843
Christine Colvin South Africa 11 403 0.9× 224 1.0× 83 0.4× 170 0.9× 82 0.7× 15 679
Zhao Jun China 12 448 1.0× 203 0.9× 97 0.5× 230 1.2× 136 1.1× 40 813
Chunsheng Wu China 14 306 0.7× 89 0.4× 152 0.7× 181 1.0× 107 0.9× 36 636
Huicai Yang China 13 343 0.7× 282 1.2× 109 0.5× 91 0.5× 144 1.2× 39 624
Changhong Su China 9 820 1.8× 133 0.6× 149 0.7× 226 1.2× 81 0.7× 10 991

Countries citing papers authored by Mansoor Leh

Since Specialization
Citations

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

Fields of papers citing papers by Mansoor Leh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansoor Leh

This figure shows the co-authorship network connecting the top 25 collaborators of Mansoor Leh. A scholar is included among the top collaborators of Mansoor Leh 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 Mansoor Leh. Mansoor Leh 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.
Akpoti, Komlavi, Naga Manohar Velpuri, Naoki Mizukami, et al.. (2024). Advancing water security in Africa with new high-resolution discharge data. Scientific Data. 11(1). 1195–1195. 2 indexed citations
2.
Akpoti, Komlavi, et al.. (2024). State of continental discharge estimation and modelling: challenges and opportunities for Africa. Hydrological Sciences Journal. 69(15). 2124–2152. 5 indexed citations
3.
Velpuri, Naga Manohar, et al.. (2023). Accuracy of satellite and reanalysis rainfall estimates over Africa: A multi-scale assessment of eight products for continental applications. Journal of Hydrology Regional Studies. 49. 101514–101514. 38 indexed citations
4.
Kagone, Stefanie, Mansoor Leh, Naga Manohar Velpuri, et al.. (2023). A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale. International Journal of Applied Earth Observation and Geoinformation. 126. 103607–103607. 4 indexed citations
6.
Kafle, Kashi, Oluwatoba Omotilewa, Mansoor Leh, & Petra Schmitter. (2021). Who is Likely to Benefit from Public and Private Sector Investments in Farmer-led Irrigation Development? Evidence from Ethiopia. The Journal of Development Studies. 58(1). 55–75. 13 indexed citations
7.
Kafle, Kashi, Oluwatoba Omotilewa, & Mansoor Leh. (2020). Who benefits from farmer-led irrigation expansion in Ethiopia?. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 1 indexed citations
8.
Akester, Michael, et al.. (2019). Integrating fish into irrigation infrastructure projects in Myanmar: rice-fish what if…?. Marine and Freshwater Research. 70(9). 1229–1240. 17 indexed citations
9.
Leh, Mansoor, et al.. (2018). Life cycle assessment of alternative swine management practices. Journal of Animal Science. 97(1). 472–484. 13 indexed citations
10.
Leh, Mansoor, et al.. (2018). Assessing the impact of the MRBI program in a data limited Arkansas watershed using the SWAT model. Agricultural Water Management. 202. 202–219. 29 indexed citations
11.
Leh, Mansoor, et al.. (2017). Spatiotemporal variation of bacterial water quality and the relationship with pasture land cover. Journal of Water and Health. 15(6). 839–848. 15 indexed citations
12.
Leh, Mansoor, et al.. (2016). Effects of land-use land-cover data resolution and classification methods on SWAT model flow predictive reliability. International Journal of Hydrology Science and Technology. 7(1). 39–39. 8 indexed citations
13.
Luzio, Mauro Di, et al.. (2016). Effects of land-use land-cover data resolution and classification methods on SWAT model flow predictive reliability. International Journal of Hydrology Science and Technology. 7(1). 39–39. 3 indexed citations
14.
Leh, Mansoor, Marty D. Matlock, Eric Cummings, & Lawton Lanier Nalley. (2013). Quantifying and mapping multiple ecosystem services change in West Africa. Agriculture Ecosystems & Environment. 165. 6–18. 346 indexed citations
15.
Matlock, Marty D., et al.. (2012). Geospatial analysis of potential water use, water stress, and eutrophication impacts from US dairy production. International Dairy Journal. 31. S78–S90. 18 indexed citations
16.
Leh, Mansoor, Marty D. Matlock, Eric Cummings, Greg Thoma, & Jackson Cothren. (2012). Measuring ecosystem service change: A case study from a northwest Arkansas dairy farm. International Dairy Journal. 31. S91–S100. 5 indexed citations
17.
Leh, Mansoor, Sreekala G. Bajwa, & Indrajeet Chaubey. (2011). IMPACT OF LAND USE CHANGE ON EROSION RISK: AN INTEGRATED REMOTE SENSING, GEOGRAPHIC INFORMATION SYSTEM AND MODELING METHODOLOGY. Land Degradation and Development. 24(5). 409–421. 209 indexed citations
18.
Leh, Mansoor, et al.. (2008). Delineating runoff processes and critical runoff source areas in a pasture hillslope of the Ozark Highlands. Hydrological Processes. 22(21). 4190–4204. 33 indexed citations
19.
Bajwa, Sreekala G., et al.. (2008). COMPARING ARTIFICIAL NEURLA NETWORK WITH LEAST SQUARE REGRESSION TECHNIQUES FOR LAI RETRIEVAL FROM REMTOE SENSING DATA. 1 indexed citations
20.
Leh, Mansoor & Sreekala G. Bajwa. (2007). Land Use Change in NW Arkansas: Implications for Runoff Potential on the West Fork Watershed. 419–423. 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.

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