Yusuf Erzin

1.1k total citations
29 papers, 902 citations indexed

About

Yusuf Erzin is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Management, Monitoring, Policy and Law. According to data from OpenAlex, Yusuf Erzin has authored 29 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Civil and Structural Engineering, 13 papers in Safety, Risk, Reliability and Quality and 7 papers in Management, Monitoring, Policy and Law. Recurrent topics in Yusuf Erzin's work include Geotechnical Engineering and Analysis (13 papers), Soil and Unsaturated Flow (11 papers) and Geotechnical Engineering and Underground Structures (10 papers). Yusuf Erzin is often cited by papers focused on Geotechnical Engineering and Analysis (13 papers), Soil and Unsaturated Flow (11 papers) and Geotechnical Engineering and Underground Structures (10 papers). Yusuf Erzin collaborates with scholars based in Türkiye, India and Iran. Yusuf Erzin's co-authors include Devendra Narain Singh, B. Hanumantha Rao, Nurhan Ecemis, Yeliz Yükselen, Anjan Patel, Ashok Kumar Gupta, Işık Yılmaz, Mohammad Reza Nikoo, Mehdi Nikoo and Hossein MolaAbasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Engineering Geology and Computers & Geosciences.

In The Last Decade

Yusuf Erzin

28 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusuf Erzin Türkiye 16 653 287 253 112 82 29 902
Paola Bandini United States 13 1.1k 1.7× 206 0.7× 165 0.7× 131 1.2× 42 0.5× 36 1.2k
Yangping Yao China 20 919 1.4× 220 0.8× 266 1.1× 63 0.6× 95 1.2× 68 1.2k
G. R. Dodagoudar India 17 995 1.5× 415 1.4× 183 0.7× 54 0.5× 60 0.7× 71 1.2k
Marcos Massao Futai Brazil 18 713 1.1× 247 0.9× 150 0.6× 136 1.2× 63 0.8× 83 945
Zhen‐Dong Cui China 20 661 1.0× 249 0.9× 304 1.2× 72 0.6× 67 0.8× 81 1.0k
A. Ghahramani Iran 17 883 1.4× 266 0.9× 140 0.6× 137 1.2× 70 0.9× 58 999
Ghassem Habibagahi Iran 20 1.1k 1.7× 175 0.6× 361 1.4× 448 4.0× 85 1.0× 75 1.4k
Louis Ge Taiwan 26 1.4k 2.2× 372 1.3× 243 1.0× 151 1.3× 149 1.8× 93 1.7k
Mansour Mosallanezhad Iran 17 724 1.1× 364 1.3× 209 0.8× 61 0.5× 117 1.4× 28 1.1k
Susanga Costa Australia 14 819 1.3× 107 0.4× 338 1.3× 99 0.9× 60 0.7× 31 955

Countries citing papers authored by Yusuf Erzin

Since Specialization
Citations

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

Fields of papers citing papers by Yusuf Erzin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuf Erzin

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuf Erzin. A scholar is included among the top collaborators of Yusuf Erzin 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 Yusuf Erzin. Yusuf Erzin 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.
Erzin, Yusuf, et al.. (2024). Application of Monte Carlo Simulation Technique for Slopes Stabilized with Piles. Afyon Kocatepe University Journal of Sciences and Engineering. 24(1). 117–125. 1 indexed citations
2.
Erzin, Yusuf, et al.. (2020). Prediction of Compression Index of Saturated Clays Using Robust Optimization Model. SHILAP Revista de lepidopterología. 4(3). 1–16. 3 indexed citations
3.
Erzin, Yusuf, et al.. (2018). THE USE OF NEURAL NETWORKS FOR THE PREDICTION OF THE FACTOR OF SAFETY OF THE SOIL AGAINST LIQUEFACTION . Scientia Iranica. 0(0). 0–0. 2 indexed citations
4.
Erzin, Yusuf, et al.. (2016). THE USE OF SELF-ORGANIZING FEATURE MAP NETWORKS FOR THE PREDICTION OF THE CRITICAL FACTOR OF SAFETY OF AN ARTIFICIAL SLOPE. Neural Network World. 26(5). 461–475. 13 indexed citations
5.
Erzin, Yusuf, et al.. (2016). Investigations on factors influencing the CBR value of some Aegean sands. Scientia Iranica. 23(2). 420–428. 5 indexed citations
6.
Erzin, Yusuf & Nurhan Ecemis. (2016). The use of neural networks for the prediction of cone penetration resistance of silty sands. Neural Computing and Applications. 28(S1). 727–736. 20 indexed citations
7.
Erzin, Yusuf & Nurhan Ecemis. (2014). The use of neural networks for CPT-based liquefaction screening. Bulletin of Engineering Geology and the Environment. 74(1). 103–116. 35 indexed citations
8.
9.
Erzin, Yusuf, et al.. (2013). The unique relationship between swell percent and swell pressure of compacted clays. Bulletin of Engineering Geology and the Environment. 72(1). 71–80. 21 indexed citations
10.
Erzin, Yusuf, et al.. (2012). The use of neural networks for the prediction of the settlement of one-way footings on cohesionless soils based on standard penetration test. Neural Computing and Applications. 24(3-4). 891–900. 41 indexed citations
11.
Erzin, Yusuf, et al.. (2012). The prediction of the critical factor of safety of homogeneous finite slopes using neural networks and multiple regressions. Computers & Geosciences. 51. 305–313. 117 indexed citations
12.
Erzin, Yusuf & Yeliz Yükselen. (2009). The Use of Neural Networks for the Prediction of Zeta Potential of Kaolinite. Mathematical Geosciences. 41(7). 779–797. 14 indexed citations
13.
Erzin, Yusuf, et al.. (2009). Artificial neural network models for predicting electrical resistivity of soils from their thermal resistivity. International Journal of Thermal Sciences. 49(1). 118–130. 73 indexed citations
14.
Erzin, Yusuf, et al.. (2009). Artificial neural network (ANN) models for determining hydraulic conductivity of compacted fine-grained soils. Canadian Geotechnical Journal. 46(8). 955–968. 68 indexed citations
15.
Erzin, Yusuf. (2009). The use of neural networks for the prediction of swell pressure. Geomechanics and Engineering. 1(1). 75–84. 4 indexed citations
16.
Erzin, Yusuf, B. Hanumantha Rao, & Devendra Narain Singh. (2008). Artificial neural network models for predicting soil thermal resistivity. International Journal of Thermal Sciences. 47(10). 1347–1358. 93 indexed citations
17.
Yükselen, Yeliz & Yusuf Erzin. (2007). Artificial neural networks approach for zeta potential of Montmorillonite in the presence of different cations. Environmental Geology. 54(5). 1059–1066. 27 indexed citations
18.
Erzin, Yusuf. (2007). Artificial neural networks approach for swell pressure versus soil suction behaviour. Canadian Geotechnical Journal. 44(10). 1215–1223. 60 indexed citations
19.
Erzin, Yusuf & Işık Yılmaz. (2007). A case study of crushing resistance of Anatolian sands at lower and higher density. Bulletin of Engineering Geology and the Environment. 67(1). 71–77. 9 indexed citations
20.
Yılmaz, Işık & Yusuf Erzin. (2004). On the reliability of SPT-N value as an indication of consistency of clayey soils. 2 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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