Athanasios I. Karabinis

2.0k total citations
51 papers, 1.7k citations indexed

About

Athanasios I. Karabinis is a scholar working on Civil and Structural Engineering, Building and Construction and Artificial Intelligence. According to data from OpenAlex, Athanasios I. Karabinis has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Civil and Structural Engineering, 35 papers in Building and Construction and 2 papers in Artificial Intelligence. Recurrent topics in Athanasios I. Karabinis's work include Concrete Corrosion and Durability (35 papers), Structural Behavior of Reinforced Concrete (35 papers) and Structural Response to Dynamic Loads (16 papers). Athanasios I. Karabinis is often cited by papers focused on Concrete Corrosion and Durability (35 papers), Structural Behavior of Reinforced Concrete (35 papers) and Structural Response to Dynamic Loads (16 papers). Athanasios I. Karabinis collaborates with scholars based in Greece, United States and United Kingdom. Athanasios I. Karabinis's co-authors include Theodoros Rousakis, Panos D. Kiousis, Ralejs Tepfers, Yu‐Fei Wu, Nicola Nisticò, Lazaros Iliadis, Emmanouil Golias, Maria C. Naoum, Chris G. Karayannis and Constantin E. Chalioris and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Sensors.

In The Last Decade

Athanasios I. Karabinis

49 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Athanasios I. Karabinis Greece 22 1.7k 1.5k 71 52 35 51 1.7k
Mohamed H. Harajli Lebanon 30 2.5k 1.5× 2.3k 1.5× 65 0.9× 36 0.7× 32 0.9× 61 2.6k
Jinqing Jia China 16 687 0.4× 331 0.2× 96 1.4× 56 1.1× 25 0.7× 80 744
Iswandi Imran Indonesia 13 722 0.4× 446 0.3× 125 1.8× 108 2.1× 21 0.6× 68 825
Metin Hüsem Türkiye 14 831 0.5× 319 0.2× 68 1.0× 53 1.0× 15 0.4× 49 899
Zhenbo Wang China 17 694 0.4× 429 0.3× 38 0.5× 195 3.8× 35 1.0× 32 865
Ferdinand Rostásy Germany 14 885 0.5× 511 0.3× 60 0.8× 101 1.9× 46 1.3× 48 932
土木学会 9 541 0.3× 346 0.2× 34 0.5× 34 0.7× 18 0.5× 21 604
Hongjun Liang China 18 808 0.5× 667 0.4× 33 0.5× 106 2.0× 21 0.6× 50 915
İlker Kalkan Türkiye 14 703 0.4× 561 0.4× 39 0.5× 23 0.4× 33 0.9× 56 748
Stephanos E. Dritsos Greece 13 902 0.5× 746 0.5× 24 0.3× 21 0.4× 7 0.2× 48 941

Countries citing papers authored by Athanasios I. Karabinis

Since Specialization
Citations

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

Fields of papers citing papers by Athanasios I. Karabinis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Athanasios I. Karabinis. 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 Athanasios I. Karabinis. The network helps show where Athanasios I. Karabinis may publish in the future.

Co-authorship network of co-authors of Athanasios I. Karabinis

This figure shows the co-authorship network connecting the top 25 collaborators of Athanasios I. Karabinis. A scholar is included among the top collaborators of Athanasios I. Karabinis 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 Athanasios I. Karabinis. Athanasios I. Karabinis 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.
Rousakis, Theodoros, et al.. (2024). Machine Learning Ensemble Methodologies for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints. Information. 15(10). 647–647. 2 indexed citations
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Iliadis, Lazaros, et al.. (2024). Rapid Visual Screening Feature Importance for Seismic Vulnerability Ranking via Machine Learning and SHAP Values. Applied Sciences. 14(6). 2609–2609. 3 indexed citations
4.
Iliadis, Lazaros, et al.. (2024). Investigation of Structural Seismic Vulnerability Using Machine Learning on Rapid Visual Screening. Applied Sciences. 14(12). 5350–5350. 2 indexed citations
5.
Naoum, Maria C., Constantin E. Chalioris, Chris G. Karayannis, Athanasios I. Karabinis, & Anaxagoras Elenas. (2023). Electro-Mechanical Impedance-Based Structural Health Monitoring of Fiber-Reinforced Concrete Specimens under Four-Point Repeated Loading. SHILAP Revista de lepidopterología. 4(3). 856–880. 3 indexed citations
6.
Rousakis, Theodoros, et al.. (2020). Ultimate shear strength prediction model for unreinforced masonryretrofitted externally with textile reinforced mortar. Earthquakes and Structures. 19(6). 411. 15 indexed citations
7.
Rousakis, Theodoros, et al.. (2019). Corroded RC Beams at Service Load before and after Patch Repair and Strengthening with NSM CFRP Strips. Buildings. 9(3). 67–67. 24 indexed citations
8.
Rousakis, Theodoros, et al.. (2017). Analytical assessment of the bearing capacity of RC beams with corroded steel bars beyond concrete cover cracking. Composites Part B Engineering. 119. 132–140. 52 indexed citations
9.
Rousakis, Theodoros, et al.. (2016). Analysis of the fatigue behavior of reinforced concrete beams strengthened in flexure with fiber reinforced polymer laminates. Composites Part B Engineering. 96. 69–78. 48 indexed citations
10.
Karabinis, Athanasios I., et al.. (2015). A computational approach for the seismic damage response under multiple earthquakes excitations of adjacent RC structures strengthened by ties. Computers & Mathematics with Applications. 70(11). 2742–2751. 2 indexed citations
11.
Karabinis, Athanasios I., et al.. (2015). Assessment of concrete columns repaired with fiber reinforced mortar through damage indexes and numerical model. Construction and Building Materials. 81. 248–256. 8 indexed citations
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Karabinis, Athanasios I., et al.. (2014). Interface Capacity of Repaired Concrete Columns Strengthened with RC Jackets. SHILAP Revista de lepidopterología. 14(2). 129–145. 4 indexed citations
15.
Nisticò, Nicola, et al.. (2014). Peak strength and ultimate strain prediction for FRP confined square and circular concrete sections. Composites Part B Engineering. 67. 543–554. 82 indexed citations
16.
Rousakis, Theodoros & Athanasios I. Karabinis. (2010). Fiber Reinforced Polymer Confinement of Bridge Columns Suffering from Premature Bars’ Buckling – Strength empirical model. Report. 97. 404–405. 6 indexed citations
17.
Rousakis, Theodoros & Athanasios I. Karabinis. (2008). Substandard reinforced concrete members subjected to compression: FRP confining effects. Materials and Structures. 41(9). 1595–1611. 76 indexed citations
18.
Karabinis, Athanasios I., et al.. (2007). THREE-DIMENSIONAL FINITE ELEMENT ANALYSIS OF REINFORCED CONCRETE COLUMNS STRENGTHENED BY FIBER REINFORCED POLYMER SHEETS. 3 indexed citations
19.
Rousakis, Theodoros, et al.. (2007). FRP STRENGTHENING OF RC COLUMNS - PARAMETRIC FINITE ELEMENT ANALYSES OF BAR QUALITY EFFECT. 5 indexed citations
20.
Karabinis, Athanasios I. & Panos D. Kiousis. (1996). Plasticity computations for the design of the ductility of circular concrete columns. Computers & Structures. 60(5). 825–835. 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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