Serkan Tapkın

1.1k total citations
28 papers, 893 citations indexed

About

Serkan Tapkın is a scholar working on Civil and Structural Engineering, Building and Construction and Mechanical Engineering. According to data from OpenAlex, Serkan Tapkın has authored 28 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Civil and Structural Engineering, 4 papers in Building and Construction and 4 papers in Mechanical Engineering. Recurrent topics in Serkan Tapkın's work include Infrastructure Maintenance and Monitoring (20 papers), Asphalt Pavement Performance Evaluation (18 papers) and Innovative concrete reinforcement materials (9 papers). Serkan Tapkın is often cited by papers focused on Infrastructure Maintenance and Monitoring (20 papers), Asphalt Pavement Performance Evaluation (18 papers) and Innovative concrete reinforcement materials (9 papers). Serkan Tapkın collaborates with scholars based in Türkiye, Greece and United Kingdom. Serkan Tapkın's co-authors include Abdülkadir Çevik, Emre Tercan, Mehmet Ali Dereli̇, Mustafa Tuncan, Ahmet Tuncan, Ali Khodaii, Mahdieh Khedmati, Hamzeh F. Haghshenas, Dionysis Latinopoulos and Muhammet Fatih Ak and has published in prestigious journals such as Construction and Building Materials, Expert Systems with Applications and Building and Environment.

In The Last Decade

Serkan Tapkın

27 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serkan Tapkın Türkiye 14 719 125 92 86 62 28 893
Hamid Behbahani Iran 21 853 1.2× 125 1.0× 150 1.6× 82 1.0× 78 1.3× 51 1.2k
Wynand JvdM Steyn South Africa 14 352 0.5× 74 0.6× 113 1.2× 73 0.8× 58 0.9× 89 661
A. Veeraragavan India 16 820 1.1× 133 1.1× 84 0.9× 129 1.5× 71 1.1× 78 934
Alfredas Laurinavičius Lithuania 14 561 0.8× 40 0.3× 60 0.7× 115 1.3× 89 1.4× 74 738
Xiaoyang Jia United States 21 1.3k 1.9× 186 1.5× 115 1.3× 248 2.9× 83 1.3× 51 1.5k
Krisada Chaiyasarn Thailand 16 749 1.0× 25 0.2× 420 4.6× 83 1.0× 29 0.5× 50 972
Ratnasamy Muniandy Malaysia 18 941 1.3× 192 1.5× 178 1.9× 139 1.6× 73 1.2× 93 1.2k
Iman Aghayan Iran 14 295 0.4× 28 0.2× 214 2.3× 47 0.5× 25 0.4× 44 649
Shaban Ismael Albrka Ali‬ Cyprus 16 579 0.8× 151 1.2× 98 1.1× 102 1.2× 32 0.5× 56 815
E T Harrigan 7 557 0.8× 22 0.2× 103 1.1× 87 1.0× 37 0.6× 12 729

Countries citing papers authored by Serkan Tapkın

Since Specialization
Citations

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

Fields of papers citing papers by Serkan Tapkın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serkan Tapkın

This figure shows the co-authorship network connecting the top 25 collaborators of Serkan Tapkın. A scholar is included among the top collaborators of Serkan Tapkın 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 Serkan Tapkın. Serkan Tapkın 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.
Li, Yongsheng, et al.. (2024). Energy-driven TBM health status estimation with a hybrid deep learning approach. Expert Systems with Applications. 249. 123701–123701. 8 indexed citations
2.
Yuan, Bo, et al.. (2024). Intelligent detection of airport pavement subtle crack based on one-stage anchor-free deep neural network. International Journal of Pavement Engineering. 25(1). 1 indexed citations
3.
Tercan, Emre, et al.. (2023). Computational Intelligence Based Point of Interest Detection by Video Surveillance Implementations. The International Arab Journal of Information Technology. 20(6).
4.
Tercan, Emre, Erkan Beşdok, & Serkan Tapkın. (2020). Heuristic Modelling of traffic accident characteristics. Transportation Letters. 13(7). 522–530. 8 indexed citations
5.
Tercan, Emre, et al.. (2020). A GIS-based multi-criteria model for offshore wind energy power plants site selection in both sides of the Aegean Sea. Environmental Monitoring and Assessment. 192(10). 652–652. 66 indexed citations
6.
Tercan, Emre, et al.. (2020). Geographic information system-based investment system for photovoltaic power plants location analysis in Turkey. Environmental Monitoring and Assessment. 192(5). 297–297. 30 indexed citations
7.
Tercan, Emre, Mehmet Ali Dereli̇, & Serkan Tapkın. (2020). A GIS-based multi-criteria evaluation for MSW landfill site selection in Antalya, Burdur, Isparta planning zone in Turkey. Environmental Earth Sciences. 79(10). 26 indexed citations
8.
Tapkın, Serkan, et al.. (2019). Design Gyration Number Determination of 100 mm-Diameter Asphalt Mixtures. International Journal of Civil Engineering. 17(9). 1383–1396. 2 indexed citations
9.
Tapkın, Serkan, Hamzeh Zakeri, Ali Topal, et al.. (2019). A Brief Review and a New Automatic Method for Interpretation of Polypropylene Modified Bitumen Based on Fuzzy Radon Transform and Watershed Segmentation. Archives of Computational Methods in Engineering. 27(3). 773–803. 3 indexed citations
10.
Tapkın, Serkan, et al.. (2018). Number of design gyrations for 100 mm compacted asphalt mixtures modified with polypropylene. Journal of Engineering Research. 6(2). 64–83. 3 indexed citations
11.
Haghshenas, Hamzeh F., Ali Khodaii, Mahdieh Khedmati, & Serkan Tapkın. (2014). A mathematical model for predicting stripping potential of Hot Mix Asphalt. Construction and Building Materials. 75. 488–495. 47 indexed citations
12.
Tapkın, Serkan. (2013). Optimal polypropylene fiber amount determination by using gyratory compaction, static creep and Marshall stability and flow analyses. Construction and Building Materials. 44. 399–410. 18 indexed citations
13.
Tapkın, Serkan, et al.. (2013). Estimation of Polypropylene Concentration of Modified Bitumen Images by Using k-NN and SVM Classifiers. Journal of Computing in Civil Engineering. 29(5). 11 indexed citations
14.
Tapkın, Serkan, et al.. (2013). Rutting prediction of asphalt mixtures modified by polypropylene fibers via repeated creep testing by utilising genetic programming. Materials Research. 16(2). 277–292. 10 indexed citations
15.
Tapkın, Serkan, et al.. (2012). Prediction of rutting potential of dense bituminous mixtures with polypropylene fibers via repeated creep testing by using neuro-fuzzy approach. Periodica Polytechnica Civil Engineering. 56(2). 253–253. 8 indexed citations
16.
17.
Tapkın, Serkan, et al.. (2009). A new approach to neural trip distribution models: NETDIM. Transportation Planning and Technology. 32(1). 93–114. 4 indexed citations
18.
Tapkın, Serkan, et al.. (2009). Accumulated strain prediction of polypropylene modified marshall specimens in repeated creep test using artificial neural networks. Expert Systems with Applications. 36(8). 11186–11197. 77 indexed citations
19.
Tapkın, Serkan. (2007). The effect of polypropylene fibers on asphalt performance. Building and Environment. 43(6). 1065–1071. 220 indexed citations
20.
Tapkın, Serkan. (2000). IMPROVED ASPHALT AGGREGATE MIX PROPERTIES BY PORTLAND CEMENT MODIFICATION. OpenMETU (Middle East Technical University). 16 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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