Gürkan Sin

8.2k total citations
244 papers, 5.8k citations indexed

About

Gürkan Sin is a scholar working on Control and Systems Engineering, Pollution and Molecular Biology. According to data from OpenAlex, Gürkan Sin has authored 244 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Control and Systems Engineering, 64 papers in Pollution and 47 papers in Molecular Biology. Recurrent topics in Gürkan Sin's work include Wastewater Treatment and Nitrogen Removal (63 papers), Process Optimization and Integration (45 papers) and Microbial Metabolic Engineering and Bioproduction (38 papers). Gürkan Sin is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (63 papers), Process Optimization and Integration (45 papers) and Microbial Metabolic Engineering and Bioproduction (38 papers). Gürkan Sin collaborates with scholars based in Denmark, Belgium and Spain. Gürkan Sin's co-authors include Krist V. Gernaey, Peter A. Vanrolleghem, Rafiqul Gani, Jens Abildskov, Anna Eliasson Lantz, Bent Sarup, Mark C.M. van Loosdrecht, John M. Woodley, Amol Hukkerikar and Stuart M. Stocks and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Renewable and Sustainable Energy Reviews.

In The Last Decade

Gürkan Sin

228 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gürkan Sin Denmark 38 1.6k 1.3k 1.3k 1.1k 1.0k 244 5.8k
Ingmar Nopens Belgium 49 2.5k 1.6× 647 0.5× 1.8k 1.4× 3.9k 3.6× 552 0.5× 350 8.1k
Bing Chen China 45 1.8k 1.1× 278 0.2× 674 0.5× 1.3k 1.2× 650 0.6× 284 7.3k
Olivier Bernard France 45 670 0.4× 2.1k 1.6× 2.0k 1.5× 377 0.4× 1.6k 1.6× 258 9.3k
José María Ponce‐Ortega Mexico 43 562 0.4× 2.4k 1.8× 1.1k 0.9× 1.2k 1.1× 396 0.4× 330 6.7k
Gonzalo Guillén‐Gosálbez Spain 51 657 0.4× 1.9k 1.4× 1.0k 0.8× 354 0.3× 455 0.4× 233 8.3k
Petar Sabev Varbanov Czechia 47 596 0.4× 2.9k 2.2× 1.2k 0.9× 658 0.6× 319 0.3× 351 8.2k
Krist V. Gernaey Denmark 60 3.7k 2.3× 2.1k 1.6× 3.2k 2.5× 2.8k 2.6× 2.9k 2.9× 465 12.8k
Jean‐Philippe Steyer France 56 3.0k 1.9× 1.2k 0.9× 5.1k 4.0× 2.2k 2.1× 2.2k 2.2× 253 14.1k
Karel J. Keesman Netherlands 37 701 0.4× 640 0.5× 1.0k 0.8× 1.9k 1.7× 143 0.1× 234 5.4k
Dae Sung Lee South Korea 59 1.5k 0.9× 395 0.3× 1.9k 1.5× 1.8k 1.7× 691 0.7× 244 9.3k

Countries citing papers authored by Gürkan Sin

Since Specialization
Citations

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

Fields of papers citing papers by Gürkan Sin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gürkan Sin

This figure shows the co-authorship network connecting the top 25 collaborators of Gürkan Sin. A scholar is included among the top collaborators of Gürkan Sin 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 Gürkan Sin. Gürkan Sin 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.
Alirahmi, Seyed Mojtaba, Marco Maschietti, Meng Qi, et al.. (2023). Renewable-integrated flexible production of energy and methane via re-using existing offshore oil and gas infrastructure. Journal of Cleaner Production. 426. 139125–139125. 14 indexed citations
2.
Alirahmi, Seyed Mojtaba, Gürkan Sin, Ahmad Arabkoohsar, Truls Gundersen, & Haoshui Yu. (2023). A Novel Integrated System Driven by Allam Cycle for the Simultaneous Energy, Water, and Waste Management. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
3.
Gargalo, Carina L., et al.. (2023). Life cycle assessment of an integrated xylitol biorefinery with value-added co-products. The International Journal of Life Cycle Assessment. 28(9). 1155–1168. 5 indexed citations
4.
Gernaey, Krist V., et al.. (2021). Model-Based Evaluation of a Data-Driven Control Strategy: Application to Ibuprofen Crystallization. Processes. 9(4). 653–653. 6 indexed citations
5.
Bram, Mads Valentin, et al.. (2018). A water treatment case study for quantifying model performance with multilevel flow modeling. Nuclear Engineering and Technology. 50(4). 532–541. 5 indexed citations
6.
Wang, Rujun, et al.. (2018). Land‐use planning risk estimates for a chemical industrial park in China – A longitudinal study. Process Safety Progress. 37(2). 124–133. 9 indexed citations
7.
Mondéjar, María E., Stefano Cignitti, Jens Abildskov, et al.. (2018). Uncertainty in the prediction of the thermophysical behavior of new halogenated working fluids. Fluid Phase Equilibria. 485. 220–233. 8 indexed citations
8.
Cignitti, Stefano, et al.. (2018). Computer-aided molecular product-process design under property uncertainties – A Monte Carlo based optimization strategy. Computers & Chemical Engineering. 122. 247–257. 18 indexed citations
9.
Bram, Mads Valentin, et al.. (2017). Modelling and Validating a Deoiling Hydrocylone for Fault Diagnosis using Multilevel Flow Modeling. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
10.
Domingo‐Félez, Carlos, et al.. (2017). Calibration of the comprehensive NDHA-N2O dynamics model for nitrifier-enriched biomass using targeted respirometric assays. Water Research. 126. 29–39. 15 indexed citations
11.
Mikkelsen, Peter Steen, et al.. (2016). Controlling sewer systems – a critical review based on systems in three EU cities. Urban Water Journal. 14(4). 435–442. 30 indexed citations
12.
Morales-Rodríguez, Ricardo, et al.. (2014). A Dynamic Model for Cellulosic Biomass Hydrolysis: a Comprehensive Analysis and Validation of Hydrolysis and Product Inhibition Mechanisms. Applied Biochemistry and Biotechnology. 172(6). 2815–2837. 27 indexed citations
13.
Thornberg, Dines, et al.. (2013). 16 Years of Experience with Rule Based Control of Copenhagen’s Sewer System. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
14.
Blanke, Mogens, et al.. (2013). Modelling and L1 Adaptive Control of pH in Bioethanol Enzymatic Process. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
15.
Abildskov, Jens, et al.. (2012). The Solvent Selection framework: solvents for organic synthesis, separation processes and ionic-liquids solvents. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
16.
Sin, Gürkan, et al.. (2012). Systematic Multi‐Scale Model Development Strategy for the Fragrance Spraying Process and Transport. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).
17.
Sin, Gürkan, Krist V. Gernaey, Marc B. Neumann, Mark C.M. van Loosdrecht, & Willi Gujer. (2010). Global sensitivity analysis in wastewater treatment plant model applications: Prioritizing sources of uncertainty. Water Research. 45(2). 639–651. 127 indexed citations
18.
Belia, Evangelina, Youri Amerlinck, Lorenzo Benedetti, et al.. (2008). Modelling accuracy: dealing with uncertainties. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
19.
Sin, Gürkan, et al.. (2004). Optimal but robust N and P removal in SBR's: A model-based systematic study of operation scenarios. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
20.
İnsel, Güçlü, et al.. (1995). A calibration methodology and model-based systems analysis for SBR's removing nutrients under limited aeration conditions. Ghent University Academic Bibliography (Ghent University). 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ingmar Nopens Breakdown of academic impact, for papers by Bing Chen Breakdown of academic impact, for papers by Olivier Bernard Breakdown of academic impact, for papers by José María Ponce‐Ortega Breakdown of academic impact, for papers by Gonzalo Guillén‐Gosálbez Breakdown of academic impact, for papers by Petar Sabev Varbanov Breakdown of academic impact, for papers by Krist V. Gernaey Breakdown of academic impact, for papers by Jean‐Philippe Steyer Breakdown of academic impact, for papers by Karel J. Keesman Breakdown of academic impact, for papers by Dae Sung Lee
Rankless by CCL
2026