S. Bohms

1.4k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

S. Bohms is a scholar working on Global and Planetary Change, Water Science and Technology and Artificial Intelligence. According to data from OpenAlex, S. Bohms has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 5 papers in Water Science and Technology and 3 papers in Artificial Intelligence. Recurrent topics in S. Bohms's work include Plant Water Relations and Carbon Dynamics (6 papers), Hydrology and Watershed Management Studies (5 papers) and Solar Radiation and Photovoltaics (3 papers). S. Bohms is often cited by papers focused on Plant Water Relations and Carbon Dynamics (6 papers), Hydrology and Watershed Management Studies (5 papers) and Solar Radiation and Photovoltaics (3 papers). S. Bohms collaborates with scholars based in United States. S. Bohms's co-authors include G. B. Senay, Naga Manohar Velpuri, J. P. Verdin, R. K. Singh, Prasanna H. Gowda, Russell L. Scott, Yonas Demissie, Mekonnen Gebremichael, MacKenzie Friedrichs and T. H. Marek and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and Remote Sensing.

In The Last Decade

S. Bohms

8 papers receiving 970 citations

Hit Papers

Operational Evapotranspiration Mapping Using Remote Sensi... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Bohms United States 7 854 603 252 156 117 8 1.0k
Anderson Ruhoff Brazil 17 780 0.9× 519 0.9× 244 1.0× 225 1.4× 160 1.4× 57 1.1k
A. Ershadi Saudi Arabia 9 1.0k 1.2× 574 1.0× 266 1.1× 135 0.9× 248 2.1× 14 1.2k
Adriano Rolim da Paz Brazil 18 761 0.9× 732 1.2× 260 1.0× 267 1.7× 187 1.6× 47 1.1k
Lebing Gong Norway 7 1.0k 1.2× 646 1.1× 142 0.6× 55 0.4× 272 2.3× 10 1.2k
Di Long China 8 805 0.9× 348 0.6× 156 0.6× 256 1.6× 178 1.5× 8 959
A. J. Purdy United States 12 497 0.6× 287 0.5× 235 0.9× 83 0.5× 147 1.3× 19 767
María Manuela Portela Portugal 20 1.2k 1.4× 648 1.1× 194 0.8× 147 0.9× 248 2.1× 93 1.5k
Juan Martín Bravo Brazil 15 507 0.6× 515 0.9× 149 0.6× 176 1.1× 100 0.9× 42 813
R. K. Vinukollu United States 7 907 1.1× 592 1.0× 220 0.9× 66 0.4× 306 2.6× 14 1.1k
Kang Liang China 19 756 0.9× 689 1.1× 200 0.8× 73 0.5× 215 1.8× 33 979

Countries citing papers authored by S. Bohms

Since Specialization
Citations

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

Fields of papers citing papers by S. Bohms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Bohms

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

All Works

8 of 8 papers shown
1.
Senay, G. B., Naga Manohar Velpuri, S. Bohms, Yonas Demissie, & Mekonnen Gebremichael. (2014). Understanding the hydrologic sources and sinks in the N ile B asin using multisource climate and remote sensing data sets. Water Resources Research. 50(11). 8625–8650. 42 indexed citations
2.
Singh, R. K., G. B. Senay, Naga Manohar Velpuri, S. Bohms, & J. P. Verdin. (2014). On the Downscaling of Actual Evapotranspiration Maps Based on Combination of MODIS and Landsat-Based Actual Evapotranspiration Estimates. Remote Sensing. 6(11). 10483–10509. 25 indexed citations
4.
Senay, G. B., et al.. (2013). Large-scale Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: Modeling and Validation. AGUFM. 2013. 1 indexed citations
5.
Senay, G. B., S. Bohms, R. K. Singh, et al.. (2013). Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach. JAWRA Journal of the American Water Resources Association. 49(3). 577–591. 497 indexed citations breakdown →
6.
Velpuri, Naga Manohar, G. B. Senay, R. K. Singh, S. Bohms, & J. P. Verdin. (2013). A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET. Remote Sensing of Environment. 139. 35–49. 351 indexed citations
7.
Singh, R. K., G. B. Senay, Naga Manohar Velpuri, et al.. (2013). Actual Evapotranspiration (Water Use) Assessment of the Colorado River Basin at the Landsat Resolution Using the Operational Simplified Surface Energy Balance Model. Remote Sensing. 6(1). 233–256. 66 indexed citations
8.
Senay, G. B., S. Bohms, & J. P. Verdin. (2012). Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance: Chapter 6. 123–144. 8 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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