Sevim Seda Yamaç

426 total citations
14 papers, 319 citations indexed

About

Sevim Seda Yamaç is a scholar working on Soil Science, Environmental Engineering and Plant Science. According to data from OpenAlex, Sevim Seda Yamaç has authored 14 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Soil Science, 4 papers in Environmental Engineering and 4 papers in Plant Science. Recurrent topics in Sevim Seda Yamaç's work include Irrigation Practices and Water Management (8 papers), Soil Moisture and Remote Sensing (2 papers) and Water Quality Monitoring Technologies (2 papers). Sevim Seda Yamaç is often cited by papers focused on Irrigation Practices and Water Management (8 papers), Soil Moisture and Remote Sensing (2 papers) and Water Quality Monitoring Technologies (2 papers). Sevim Seda Yamaç collaborates with scholars based in Türkiye, Italy and Saudi Arabia. Sevim Seda Yamaç's co-authors include Mladen Todorović, Cevdet Şeker, V. Cantore, Anna Maria Stellacci, Mohamed Houssemeddine Sellami, Rossella Albrizio, Tommaso Stella, C. Francone, Roberto Confalonieri and Livia Paleari and has published in prestigious journals such as Biomass and Bioenergy, Computers and Electronics in Agriculture and Agricultural Water Management.

In The Last Decade

Sevim Seda Yamaç

11 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sevim Seda Yamaç Türkiye 7 135 104 99 98 49 14 319
André Belmont Pereira Brazil 12 90 0.7× 189 1.8× 115 1.2× 44 0.4× 28 0.6× 53 405
Roberto Barbetti Italy 11 88 0.7× 107 1.0× 89 0.9× 109 1.1× 42 0.9× 25 340
Tianao Wu China 10 91 0.7× 109 1.0× 63 0.6× 70 0.7× 32 0.7× 13 391
Sven Peets United Kingdom 8 68 0.5× 263 2.5× 184 1.9× 114 1.2× 28 0.6× 13 504
Xin Qiao United States 11 80 0.6× 156 1.5× 92 0.9× 78 0.8× 12 0.2× 30 298
Ricardo P. Braga Portugal 9 120 0.9× 166 1.6× 77 0.8× 112 1.1× 26 0.5× 17 373
Muhammad Aqil Indonesia 10 140 1.0× 113 1.1× 34 0.3× 276 2.8× 53 1.1× 59 536
M. Tucker United States 5 41 0.3× 155 1.5× 121 1.2× 87 0.9× 17 0.3× 6 332
Troy Bauder United States 9 56 0.4× 95 0.9× 102 1.0× 33 0.3× 10 0.2× 24 276
Kosana Suvočarev United States 12 172 1.3× 111 1.1× 77 0.8× 65 0.7× 24 0.5× 25 373

Countries citing papers authored by Sevim Seda Yamaç

Since Specialization
Citations

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

Fields of papers citing papers by Sevim Seda Yamaç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sevim Seda Yamaç. 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 Sevim Seda Yamaç. The network helps show where Sevim Seda Yamaç may publish in the future.

Co-authorship network of co-authors of Sevim Seda Yamaç

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

All Works

14 of 14 papers shown
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Yamaç, Sevim Seda, et al.. (2024). Are Supervised Learning Methods Suitable for Estimating Crop Water Consumption under Optimal and Deficit Irrigation?. Agronomy. 14(3). 532–532. 1 indexed citations
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Rezaei, Ehsan Eyshi, Gohar Ghazaryan, & Sevim Seda Yamaç. (2023). Crop production in Türkiye: trends and driving variables. Environmental Research Communications. 5(3). 31001–31001.
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Memon, Azhar M., et al.. (2022). Aquaponics in Saudi Arabia: Initial Steps towards Addressing Food Security in the Arid Region. Agriculture. 12(12). 2094–2094. 4 indexed citations
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Yamaç, Sevim Seda, et al.. (2020). Evaluation of machine learning methods to predict soil moisture constants with different combinations of soil input data for calcareous soils in a semi arid area. Agricultural Water Management. 234. 106121–106121. 50 indexed citations
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Yamaç, Sevim Seda & Mladen Todorović. (2019). Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data. Agricultural Water Management. 228. 105875–105875. 124 indexed citations
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Yamaç, Sevim Seda. (2018). Estimation of long-term reference evapotranspiration using limited weather data in sugar beet plantation area from Middle Anatolian, Turkey. DergiPark (Istanbul University).
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Stella, Tommaso, C. Francone, Sevim Seda Yamaç, et al.. (2015). Reimplementation and reuse of the Canegro model: From sugarcane to giant reed. Computers and Electronics in Agriculture. 113. 193–202. 14 indexed citations
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Cappelli, G., Sevim Seda Yamaç, Tommaso Stella, et al.. (2015). Are advantages from the partial replacement of corn with second-generation energy crops undermined by climate change? A case study for giant reed in northern Italy. Biomass and Bioenergy. 80. 85–93. 21 indexed citations
14.
Cantore, V., Sevim Seda Yamaç, Mohamed Houssemeddine Sellami, et al.. (2014). Yield and water use efficiency of early potato grown under different irrigation regimes. International Journal of Plant Production. 8(3). 409–428. 52 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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