Santosh S. Palmate

460 total citations
25 papers, 262 citations indexed

About

Santosh S. Palmate is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Santosh S. Palmate has authored 25 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 12 papers in Water Science and Technology and 8 papers in Environmental Engineering. Recurrent topics in Santosh S. Palmate's work include Hydrology and Watershed Management Studies (9 papers), Remote Sensing in Agriculture (6 papers) and Flood Risk Assessment and Management (6 papers). Santosh S. Palmate is often cited by papers focused on Hydrology and Watershed Management Studies (9 papers), Remote Sensing in Agriculture (6 papers) and Flood Risk Assessment and Management (6 papers). Santosh S. Palmate collaborates with scholars based in United States, India and Canada. Santosh S. Palmate's co-authors include Ashish Pandey, Surendra Kumar Mishra, Rajendra Pandey, Dheeraj Kumar, S. K. Mishra, Nicola Fohrer, Paul D. Wagner, Rituraj Shukla, Amit Kumar and Saurav Kumar and has published in prestigious journals such as Agriculture Ecosystems & Environment, Crop Science and Agricultural Water Management.

In The Last Decade

Santosh S. Palmate

21 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Santosh S. Palmate United States 9 176 96 64 49 44 25 262
Fernando Oñate-Valdivieso Ecuador 10 171 1.0× 90 0.9× 63 1.0× 49 1.0× 92 2.1× 22 312
Bikram Manandhar Nepal 9 266 1.5× 119 1.2× 65 1.0× 61 1.2× 20 0.5× 17 350
Srishti Gaur India 9 241 1.4× 114 1.2× 91 1.4× 52 1.1× 74 1.7× 16 319
Maria Elena Topa Italy 5 251 1.4× 79 0.8× 56 0.9× 81 1.7× 18 0.4× 9 315
Yaping Chang China 11 185 1.1× 134 1.4× 53 0.8× 116 2.4× 45 1.0× 23 329
Nabajit Hazarika India 7 204 1.2× 69 0.7× 54 0.8× 42 0.9× 90 2.0× 14 277
Gholamreza Zehtabian Iran 10 141 0.8× 79 0.8× 122 1.9× 50 1.0× 32 0.7× 31 284
Muhammad Shahzad Khattak Pakistan 7 293 1.7× 221 2.3× 65 1.0× 47 1.0× 40 0.9× 20 353
Ayob Katimon Malaysia 8 198 1.1× 132 1.4× 107 1.7× 63 1.3× 31 0.7× 25 341

Countries citing papers authored by Santosh S. Palmate

Since Specialization
Citations

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

Fields of papers citing papers by Santosh S. Palmate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Santosh S. Palmate. 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 Santosh S. Palmate. The network helps show where Santosh S. Palmate may publish in the future.

Co-authorship network of co-authors of Santosh S. Palmate

This figure shows the co-authorship network connecting the top 25 collaborators of Santosh S. Palmate. A scholar is included among the top collaborators of Santosh S. Palmate 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 Santosh S. Palmate. Santosh S. Palmate 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
2.
Dayal, Deen, et al.. (2025). A spatially aware Bayesian deep learning framework for UAV-based soil salinity prediction. Smart Agricultural Technology. 12. 101359–101359. 1 indexed citations
3.
Xue, Qingwu, Girisha Ganjegunte, Santosh S. Palmate, et al.. (2025). Seedling emergence in winter and spring canola genotypes under salinity stress. Crop Science. 65(2).
4.
Talchabhadel, Rocky, et al.. (2025). 30 Years of simultaneous crop & land cover land use maps for Middle Rio Grande from 1994 to 2024. Scientific Data. 12(1). 1462–1462.
5.
Talchabhadel, Rocky, et al.. (2025). Evaluating Vegetation Greening and Browning across the Rio Grande Basin. Earth Systems and Environment.
6.
Palmate, Santosh S., et al.. (2024). Assessing field scale spatiotemporal heterogeneity in salinity dynamics using aerial data assimilation. Agricultural Water Management. 305. 109114–109114. 4 indexed citations
7.
Palmate, Santosh S., et al.. (2024). Exploring relationships between drought characteristics and environmental flow conditions in Indian catchments. Environmental Earth Sciences. 83(7). 1 indexed citations
8.
Palmate, Santosh S., et al.. (2023). A conceptual framework to disentangle land use and climate change impacts on water balance components and sediment yield. Environment Development and Sustainability. 27(3). 7033–7061. 4 indexed citations
9.
Shukla, Rituraj, Deepak Khare, Ramesh Rudra, et al.. (2023). Evaluation of statistical downscaling model's performance in projecting future climate change scenarios. Journal of Water and Climate Change. 14(10). 3559–3595. 8 indexed citations
10.
Himanshu, Sushil Kumar, et al.. (2023). Assessing the Applicability of Variable Infiltration Capacity (VIC) Model using Remote Sensing Products for the Analysis of Water Balance: Case Study of the Tons River Basin, India. Journal of the Indian Society of Remote Sensing. 51(11). 2323–2341. 5 indexed citations
11.
Kumar, Saurav, Abhinav Gupta, Walter McDonald, et al.. (2023). Perceived barriers and advances in integrating earth observations with water resources modeling. Remote Sensing Applications Society and Environment. 33. 101119–101119. 6 indexed citations
12.
Kumar, Amit, Santosh S. Palmate, & Rituraj Shukla. (2022). Water Quality Modelling, Monitoring, and Mitigation. Applied Sciences. 12(22). 11403–11403. 17 indexed citations
13.
Palmate, Santosh S., et al.. (2022). Mitigating risks of hybrid rice use in terrace agriculture. Geography and sustainability. 4(1). 1–5. 3 indexed citations
14.
Palmate, Santosh S., et al.. (2022). Comparing the effect of different irrigation water scenarios on arid region pecan orchard using a system dynamics approach. Agricultural Water Management. 265. 107547–107547. 13 indexed citations
15.
Palmate, Santosh S., Ashish Pandey, Rajendra Pandey, & Surendra Kumar Mishra. (2021). Assessing the land degradation and greening response to changes in hydro‐climatic variables using a conceptual framework: A case‐study in central India. Land Degradation and Development. 32(14). 4132–4148. 18 indexed citations
16.
Dayal, Deen, Sabyasachi Swain, Amar Kant Gautam, et al.. (2019). Development of ARIMA Model for Monthly Rainfall Forecasting over an Indian River Basin. 264–271. 12 indexed citations
17.
Pandey, Ashish & Santosh S. Palmate. (2019). Assessing future water–sediment interaction and critical area prioritization at sub-watershed level for sustainable management. Paddy and Water Environment. 17(3). 373–382. 10 indexed citations
18.
Dayal, Deen, Ashish Pandey, Sushil Kumar Himanshu, & Santosh S. Palmate. (2018). Long Term Historic Changes of Precipitation and Aridity Index over an Indian River Basin. 262–272. 2 indexed citations
19.
Kumar, Dheeraj, Amar Kant Gautam, Santosh S. Palmate, et al.. (2016). Evaluation of TRMM multi-satellite precipitation analysis (TMPA) against terrestrial measurement over a humid sub-tropical basin, India. Theoretical and Applied Climatology. 129(3-4). 783–799. 21 indexed citations
20.
Palmate, Santosh S., Ashish Pandey, Dheeraj Kumar, Rajendra Pandey, & S. K. Mishra. (2014). Climate change impact on forest cover and vegetation in Betwa Basin, India. Applied Water Science. 7(1). 103–114. 36 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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