Serpil Edebalı

1.0k total citations
25 papers, 843 citations indexed

About

Serpil Edebalı is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Organic Chemistry. According to data from OpenAlex, Serpil Edebalı has authored 25 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 8 papers in Industrial and Manufacturing Engineering and 6 papers in Organic Chemistry. Recurrent topics in Serpil Edebalı's work include Adsorption and biosorption for pollutant removal (15 papers), Nanomaterials for catalytic reactions (6 papers) and Water Quality Monitoring and Analysis (5 papers). Serpil Edebalı is often cited by papers focused on Adsorption and biosorption for pollutant removal (15 papers), Nanomaterials for catalytic reactions (6 papers) and Water Quality Monitoring and Analysis (5 papers). Serpil Edebalı collaborates with scholars based in Türkiye, Italy and Spain. Serpil Edebalı's co-authors include Erol Pehlivan, Muazzez Çelık Karakaya, Necatı Karakaya, C. E. Ozdemir, Gülşin Arslan, Ayhan Abdullah Ceyhan, Şaban Gülcü, Gülcihan Guzel Kaya, Türkan Altun and Meryem Kara and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and International Journal of Hydrogen Energy.

In The Last Decade

Serpil Edebalı

24 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serpil Edebalı Türkiye 13 482 175 168 139 138 25 843
Gautham Jeppu India 12 457 0.9× 172 1.0× 139 0.8× 154 1.1× 136 1.0× 25 902
Wayne Sharp United States 9 537 1.1× 203 1.2× 170 1.0× 158 1.1× 179 1.3× 27 1.2k
Mohamed Abatal Mexico 19 413 0.9× 160 0.9× 107 0.6× 131 0.9× 121 0.9× 59 875
Sabrina F. Lütke Brazil 18 687 1.4× 226 1.3× 180 1.1× 177 1.3× 159 1.2× 34 1.1k
Eduardo Soto‐Regalado Mexico 17 492 1.0× 109 0.6× 126 0.8× 180 1.3× 136 1.0× 34 833
Sujit Sen India 13 395 0.8× 219 1.3× 160 1.0× 122 0.9× 122 0.9× 44 865
Omirserik Baigenzhenov Kazakhstan 16 316 0.7× 195 1.1× 124 0.7× 200 1.4× 122 0.9× 49 780
Arezoo Azimi Iran 5 531 1.1× 178 1.0× 140 0.8× 197 1.4× 160 1.2× 5 1.0k
Evgenia Iakovleva Finland 14 381 0.8× 153 0.9× 131 0.8× 255 1.8× 96 0.7× 19 883
Milan Kragović Serbia 17 472 1.0× 207 1.2× 161 1.0× 114 0.8× 158 1.1× 52 989

Countries citing papers authored by Serpil Edebalı

Since Specialization
Citations

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

Fields of papers citing papers by Serpil Edebalı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serpil Edebalı

This figure shows the co-authorship network connecting the top 25 collaborators of Serpil Edebalı. A scholar is included among the top collaborators of Serpil Edebalı 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 Serpil Edebalı. Serpil Edebalı 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.
Kaya, Gülcihan Guzel, et al.. (2025). A novel NH2-MIL-101(Fe)/silica xerogel composite for ciprofloxacin removal: structural, kinetic, and thermodynamic insights. Journal of Nanoparticle Research. 27(12).
2.
Edebalı, Serpil, et al.. (2024). Facile synthesis of zeolitic‐imidazole framework‐67 (ZIF‐67) for the adsorption of indigo carmine dye. The Canadian Journal of Chemical Engineering. 103(5). 2373–2385. 4 indexed citations
3.
Edebalı, Serpil, et al.. (2024). Removal of Hexavalent Chromium (Cr6+) from Aqueous Solutions by Chitosan-halloysite Nanotubes Composite Hydrogel Beads. Current Analytical Chemistry. 21(2). 165–173. 2 indexed citations
4.
Edebalı, Serpil, et al.. (2024). MODELING OF MALACHITE GREEN ADSORPTION ONTO AMBERLITE IRC-748 AND DIAION CR-11 COMMERCIAL RESINS BY ARTIFICIAL NEURAL NETWORK. DergiPark (Istanbul University). 531–541. 1 indexed citations
5.
Edebalı, Serpil, et al.. (2024). EXPLORING MIL-53 (Al) ADSORPTION EFFICIENCY FOR INDIGO CARMINE DYE. DergiPark (Istanbul University). 419–431. 2 indexed citations
6.
Edebalı, Serpil, et al.. (2024). Parabolic trough concentrator design, characterization, and application: solar wastewater purification targeting textile industry dyes and pharmaceuticals—techno-economic study. Euro-Mediterranean Journal for Environmental Integration. 9(4). 1907–1919. 2 indexed citations
7.
Kaya, Gülcihan Guzel, et al.. (2023). Ciprofloxacin adsorption performance of Co‐doped UiO‐66. Applied Organometallic Chemistry. 38(1). 13 indexed citations
8.
Edebalı, Serpil. (2023). Synthesis and characterization of MIL-101 (Fe) as efficient catalyst for tetracycline degradation by using NaBH4: Artificial neural network modeling. Applied Surface Science Advances. 18. 100496–100496. 22 indexed citations
9.
Edebalı, Serpil, et al.. (2020). Modeling of Removal of Chromium (VI) from Aqueous Solutions Using Artificial Neural Network. SHILAP Revista de lepidopterología. 39(1). 163–175. 11 indexed citations
10.
Edebalı, Serpil. (2020). Comparison of Chitosan-Based Biocomposites for Remediation of Water with Cr(VI) Ions. SHILAP Revista de lepidopterología. 39(4). 245–251. 4 indexed citations
11.
Ceyhan, Ayhan Abdullah, et al.. (2020). A study on hydrogen generation from NaBH4 solution using Co-loaded resin catalysts. International Journal of Hydrogen Energy. 45(60). 34761–34772. 51 indexed citations
12.
Edebalı, Serpil, et al.. (2019). Modeling of Trivalent Chromium Sorption onto Commercial Resins by Artificial Neural Network. Applied Artificial Intelligence. 33(4). 349–360. 24 indexed citations
13.
14.
Edebalı, Serpil & Erol Pehlivan. (2016). Evaluation of chelate and cation exchange resins to remove copper ions. Powder Technology. 301. 520–525. 103 indexed citations
15.
Edebalı, Serpil, et al.. (2016). Use of chabazite, a naturally abundant zeolite, for the investigation of the adsorption kinetics and mechanism of methylene blue dye. Microporous and Mesoporous Materials. 235. 78–86. 125 indexed citations
16.
Edebalı, Serpil. (2015). Kinetics Investigation of Cr(VI) Removal by Modified Perlite with Fe2O3 and MnO2 Nanomaterials. International Journal of Chemical Engineering and Applications. 7(3). 165–168. 1 indexed citations
17.
Edebalı, Serpil, et al.. (2015). An Artificial Neural Network Model for Wastewater Treatment Plant of Konya. International Journal of Intelligent Systems and Applications in Engineering. 3(4). 131–131. 44 indexed citations
18.
19.
Edebalı, Serpil. (2015). Alternative Composite Nanosorbents Based on Turkish Perlite for the Removal of Cr(VI) from Aqueous Solution. Journal of Nanomaterials. 2015(1). 12 indexed citations
20.
Edebalı, Serpil & Erol Pehlivan. (2010). Evaluation of Amberlite IRA96 and Dowex 1×8 ion-exchange resins for the removal of Cr(VI) from aqueous solution. Chemical Engineering Journal. 161(1-2). 161–166. 132 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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