Çağlar Karatuğ

739 total citations
22 papers, 500 citations indexed

About

Çağlar Karatuğ is a scholar working on Environmental Engineering, Ocean Engineering and Automotive Engineering. According to data from OpenAlex, Çağlar Karatuğ has authored 22 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 10 papers in Ocean Engineering and 6 papers in Automotive Engineering. Recurrent topics in Çağlar Karatuğ's work include Maritime Transport Emissions and Efficiency (14 papers), Ship Hydrodynamics and Maneuverability (6 papers) and Vehicle emissions and performance (5 papers). Çağlar Karatuğ is often cited by papers focused on Maritime Transport Emissions and Efficiency (14 papers), Ship Hydrodynamics and Maneuverability (6 papers) and Vehicle emissions and performance (5 papers). Çağlar Karatuğ collaborates with scholars based in Türkiye, Portugal and Egypt. Çağlar Karatuğ's co-authors include Yasin Arslanoğlu, C. Guedes Soares, Mina Tadros, Bulut Ozan Ceylan, L. Ventura, Emre Akyüz, Georgios Boustras, Maja Perčić, Nikola Vladimir and Ivana Jovanović and has published in prestigious journals such as Energy, Solar Energy and Safety Science.

In The Last Decade

Çağlar Karatuğ

20 papers receiving 479 citations

Peers

Çağlar Karatuğ

IME

Tae-Hwan Joung South Korea

L. Ventura Portugal

Jean‐David Caprace Brazil

Onur Yüksel Türkiye

Junkeon Ahn South Korea

Christos Gkerekos United Kingdom

Vicente Díaz Casás Spain

Paola Gualeni Italy

J.J. Hopman Netherlands

Sergey Ushakov Norway

Tae-Hwan Joung South Korea

Çağlar Karatuğ

282 ×1.1

257 ×1.5

81 ×0.8

68 ×0.9

104 ×1.4

IME

Citations per year, relative to Çağlar Karatuğ Çağlar Karatuğ (= 1×) peers Tae-Hwan Joung

Countries citing papers authored by Çağlar Karatuğ

Since Specialization

Citations

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

Fields of papers citing papers by Çağlar Karatuğ

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Çağlar Karatuğ

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

All Works

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20 of 20 papers shown

Jovanović, Ivana, Çağlar Karatuğ, Maja Perčić, & Nikola Vladimir. (2025). Combined Fault Tree Analysis and Bayesian Network for Reliability Assessment of Marine Internal Combustion Engine. Journal of Marine Science and Application. 25(1). 239–258. 3 indexed citations

Karatuğ, Çağlar. (2025). An evaluation of future skills required for smart ships'efficient operations. WMU Journal of Maritime Affairs. 24(3). 419–441.

Tadros, Mina, Çağlar Karatuğ, & Weichao Shi. (2025). A data-driven decision support system for ship energy efficiency using MIMO artificial neural networks. Journal of Marine Engineering & Technology. 1–14.

Karatuğ, Çağlar, Mina Tadros, L. Ventura, & C. Guedes Soares. (2024). Decision support system for ship energy efficiency management based on an optimization model. Energy. 292. 130318–130318. 18 indexed citations

Karatuğ, Çağlar, et al.. (2024). Prediction of Ship Main Particulars for Harbor Tugboats Using a Bayesian Network Model and Non-Linear Regression. Applied Sciences. 14(7). 2891–2891. 2 indexed citations

Karatuğ, Çağlar, Bulut Ozan Ceylan, & Yasin Arslanoğlu. (2024). A hybrid predictive maintenance approach for ship machinery systems: a case of main engine bearings. Journal of Marine Engineering & Technology. 24(1). 12–21. 3 indexed citations

Karatuğ, Çağlar, et al.. (2024). Cost-benefit analysis of emission reduction techniques: a case for container vessel. Journal of Marine Engineering & Technology. 23(4). 259–269. 5 indexed citations

Karatuğ, Çağlar, et al.. (2023). Environmental and Economic Evaluation of Dual-Fuel Engine Investment of a Container Ship. Journal of Marine Science and Application. 22(4). 823–836. 4 indexed citations

Ceylan, Bulut Ozan, Çağlar Karatuğ, Emre Akyüz, Yasin Arslanoğlu, & Georgios Boustras. (2023). A system theory (STAMP) based quantitative accident analysis model for complex engineering systems. Safety Science. 166. 106232–106232. 22 indexed citations

10.

Karatuğ, Çağlar, Bulut Ozan Ceylan, & Yasin Arslanoğlu. (2023). A risk assessment of scrubber use for marine transport by rule-based fuzzy FMEA. Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment. 238(1). 114–125. 5 indexed citations

11.

Karatuğ, Çağlar, Mina Tadros, L. Ventura, & C. Guedes Soares. (2023). Strategy for ship energy efficiency based on optimization model and data-driven approach. Ocean Engineering. 279. 114397–114397. 25 indexed citations

12.

Karatuğ, Çağlar, Yasin Arslanoğlu, & C. Guedes Soares. (2023). Design of a decision support system to achieve condition-based maintenance in ship machinery systems. Ocean Engineering. 281. 114611–114611. 15 indexed citations

13.

Karatuğ, Çağlar, Yasin Arslanoğlu, & C. Guedes Soares. (2023). Review of maintenance strategies for ship machinery systems. Journal of Marine Engineering & Technology. 22(5). 233–247. 22 indexed citations

14.

Karatuğ, Çağlar & Yasin Arslanoğlu. (2022). Development of condition-based maintenance strategy for fault diagnosis for ship engine systems. Ocean Engineering. 256. 111515–111515. 58 indexed citations

15.

Ceylan, Bulut Ozan, Çağlar Karatuğ, & Yasin Arslanoğlu. (2022). A novel methodology for the use of engine simulators as a tool in academic studies. Journal of Marine Science and Technology. 27(4). 1220–1232. 5 indexed citations

16.

Ceylan, Bulut Ozan, et al.. (2022). Risk assessment of sea chest fouling on the ship machinery systems by using both FMEA method and ERS process. Australian Journal of Maritime & Ocean Affairs. 15(4). 414–433. 12 indexed citations

17.

Karatuğ, Çağlar, et al.. (2021). Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul. Applied Ocean Research. 112. 102693–102693. 22 indexed citations

18.

Karatuğ, Çağlar, et al.. (2020). Design of a solar photovoltaic system for a Ro-Ro ship and estimation of performance analysis: A case study. Solar Energy. 207. 1259–1268. 74 indexed citations

19.

Karatuğ, Çağlar, et al.. (2020). Machine learning approach to ship fuel consumption: A case of container vessel. Transportation Research Part D Transport and Environment. 84. 102389–102389. 149 indexed citations

20.

Karatuğ, Çağlar & Yasin Arslanoğlu. (2020). Importance of early fault diagnosis for marine diesel engines: a case study on efficiency management and environment. Ships and Offshore Structures. 17(2). 472–480. 21 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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