S. Kahraman

4.7k total citations · 1 hit paper
84 papers, 4.0k citations indexed

About

S. Kahraman is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Ocean Engineering. According to data from OpenAlex, S. Kahraman has authored 84 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Civil and Structural Engineering, 57 papers in Mechanics of Materials and 57 papers in Ocean Engineering. Recurrent topics in S. Kahraman's work include Rock Mechanics and Modeling (56 papers), Tunneling and Rock Mechanics (52 papers) and Drilling and Well Engineering (41 papers). S. Kahraman is often cited by papers focused on Rock Mechanics and Modeling (56 papers), Tunneling and Rock Mechanics (52 papers) and Drilling and Well Engineering (41 papers). S. Kahraman collaborates with scholars based in Türkiye, Germany and Saudi Arabia. S. Kahraman's co-authors include Mustafa Fener, Ö. Günaydın, Michael Alber, Nuh Bilgin, R. Altındağ, Olgay Yaralı, Ahmet Bilgil, Cemal Balcı, Sevil Yazıcı and Jamal Rostami and has published in prestigious journals such as Construction and Building Materials, Expert Systems with Applications and International Journal of Rock Mechanics and Mining Sciences.

In The Last Decade

S. Kahraman

81 papers receiving 3.8k citations

Hit Papers

Evaluation of simple meth... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Kahraman Türkiye 34 2.8k 2.3k 2.3k 1.1k 489 84 4.0k
Joseph F. Labuz United States 35 3.3k 1.2× 1.8k 0.8× 2.1k 0.9× 692 0.6× 574 1.2× 177 4.6k
T.D. Rathnaweera Australia 35 2.0k 0.7× 1.5k 0.7× 698 0.3× 1.2k 1.1× 315 0.6× 64 3.2k
Heinz Konietzky Germany 45 4.0k 1.5× 1.5k 0.6× 2.6k 1.1× 932 0.8× 477 1.0× 199 5.4k
Jean Sulem France 38 2.6k 0.9× 911 0.4× 2.3k 1.0× 678 0.6× 838 1.7× 136 4.5k
Chaoshui Xu Australia 34 1.7k 0.6× 791 0.3× 1.2k 0.5× 1.1k 1.0× 243 0.5× 137 3.2k
Richeng Liu China 37 2.3k 0.8× 917 0.4× 1.5k 0.7× 1.8k 1.5× 395 0.8× 138 3.8k
Xin Cai China 35 3.5k 1.3× 1.5k 0.7× 1.7k 0.7× 427 0.4× 309 0.6× 132 4.3k
Yu Zhao China 30 1.9k 0.7× 986 0.4× 1.0k 0.4× 576 0.5× 257 0.5× 150 2.7k
Tianhong Yang China 35 2.7k 1.0× 1.2k 0.5× 1.1k 0.5× 531 0.5× 382 0.8× 131 3.4k
Zhihong Zhao China 37 2.3k 0.8× 868 0.4× 1.2k 0.5× 961 0.8× 374 0.8× 98 3.3k

Countries citing papers authored by S. Kahraman

Since Specialization
Citations

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

Fields of papers citing papers by S. Kahraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Kahraman

This figure shows the co-authorship network connecting the top 25 collaborators of S. Kahraman. A scholar is included among the top collaborators of S. Kahraman 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 S. Kahraman. S. Kahraman 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.
Kahraman, S., et al.. (2024). Predicting the strength, density, and porosity of rocks from roll crusher tests. Journal of the Southern African Institute of Mining and Metallurgy. 124(2). 53–57. 4 indexed citations
2.
Rostami, Masoud, et al.. (2024). Performance prediction of roadheaders used in coal mines from the needle penetration index and the schmidt hammer value. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 10(1).
3.
Kahraman, S., et al.. (2023). A New Rock Mass Cuttability Classification for Roadheaders Used in Coal Mining. Mining Metallurgy & Exploration. 40(4). 1141–1152. 2 indexed citations
4.
Kahraman, S., et al.. (2023). Performance prediction of roadheaders using the rock mass cuttability classification. Arabian Journal of Geosciences. 16(12). 2 indexed citations
5.
Kahraman, S., et al.. (2023). The effect of microwave treatment on the abrasivity of igneous rocks. Arabian Journal of Geosciences. 17(1). 1 indexed citations
6.
Kahraman, S., Cemal Balcı, Mustafa Fener, et al.. (2022). The effect of mineralogy on the microwave assisted cutting of igneous rocks. Bulletin of Engineering Geology and the Environment. 81(1). 14 indexed citations
7.
Kahraman, S.. (2021). Estimating the Physico-Mechanical Properties of Pyroclastic Rocks from Electrical Resistivity. Pure and Applied Geophysics. 179(1). 301–309. 9 indexed citations
8.
Kahraman, S., et al.. (2021). The effect of clay content on the relation between uniaxial compressive strength and needle penetration index for clay-bearing rocks. International Journal of Geo-Engineering. 12(1). 4 indexed citations
9.
Kahraman, S., Mustafa Fener, Heiko Käsling, & Kurosch Thuro. (2018). Investigating the effect of strength on the LCPC abrasivity of igneous rocks. Geomechanics and Engineering. 15(2). 805–810. 5 indexed citations
10.
Aal, Ahmed Abd El & S. Kahraman. (2017). Indirect Methods to Predict the Abrasion Resistance and Slake Durability of Marbles. 5(2). 1750007–1750007. 6 indexed citations
11.
Kahraman, S.. (2017). The needle penetration test for predicting coal strength. Journal of the Southern African Institute of Mining and Metallurgy. 117(6). 587–591. 11 indexed citations
12.
Kahraman, S., et al.. (2016). The Predictability of Physico-Mechanical Properties of Pyroclastic Rocks from the Needle Penetration Index. 50th U.S. Rock Mechanics/Geomechanics Symposium. 1 indexed citations
13.
Kahraman, S., et al.. (2015). A preliminary study on the conversion factor used in the prediction of the UCS from the BPI for pyroclastic rocks. Bulletin of Engineering Geology and the Environment. 75(2). 771–780. 6 indexed citations
14.
Kahraman, S., et al.. (2015). The performance prediction of roadheaders from easy testing methods. Bulletin of Engineering Geology and the Environment. 75(4). 1585–1596. 19 indexed citations
15.
Kahraman, S., et al.. (2014). Estimation of rock strength from quantitative assessment of rock texture. Journal of the Southern African Institute of Mining and Metallurgy. 114(6). 471–480. 25 indexed citations
16.
Kahraman, S., et al.. (2012). Predicting the compressive and tensile strength of rocks from indentation hardness index. Journal of the Southern African Institute of Mining and Metallurgy. 112(5). 331–339. 84 indexed citations
17.
Kahraman, S., Ö. Günaydın, & Mustafa Fener. (2008). The Effect Of Water Saturation On The Strength Of Marbles. 1 indexed citations
18.
Kahraman, S.. (2003). Performance analysis of drilling machines using rock modulus ratio. Journal of the Southern African Institute of Mining and Metallurgy. 103(8). 515–522. 15 indexed citations
19.
Bilgin, Nuh & S. Kahraman. (2003). Drillability Prediction in Rotary Blast Hole Drilling. 14 indexed citations
20.
Kahraman, S.. (2001). A correlation between P-wave velocity, number of joints and Schmidt hammer rebound number. International Journal of Rock Mechanics and Mining Sciences. 38(5). 729–733. 82 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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