Kun Marhadi

31 total papers · 447 total citations
23 papers, 335 citations indexed

About

Kun Marhadi is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Kun Marhadi has authored 23 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Civil and Structural Engineering, 8 papers in Statistics, Probability and Uncertainty and 7 papers in Control and Systems Engineering. Recurrent topics in Kun Marhadi's work include Probabilistic and Robust Engineering Design (8 papers), Structural Health Monitoring Techniques (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Kun Marhadi is often cited by papers focused on Probabilistic and Robust Engineering Design (8 papers), Structural Health Monitoring Techniques (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Kun Marhadi collaborates with scholars based in United States, Denmark and Faroe Islands. Kun Marhadi's co-authors include Vikram K. Kinra, Satchi Venkataraman, Nenad Mijatović, Joachim Holbøll, Bogi Bech Jensen, Joachim Holboell, Anton Evgrafov and Robert Gomez and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Sound and Vibration and IEEE Transactions on Sustainable Energy.

In The Last Decade

Kun Marhadi

22 papers receiving 318 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kun Marhadi 142 82 80 73 71 23 335
Slobodan Stupar 140 1.0× 59 0.7× 67 0.8× 175 2.4× 79 1.1× 33 373
Peng Yang 188 1.3× 99 1.2× 111 1.4× 43 0.6× 41 0.6× 31 356
Francis Quail 108 0.8× 42 0.5× 177 2.2× 61 0.8× 82 1.2× 27 368
Manex Martinez‐Agirre 101 0.7× 114 1.4× 97 1.2× 63 0.9× 27 0.4× 38 375
Richard L. Bielawa 169 1.2× 66 0.8× 87 1.1× 155 2.1× 114 1.6× 19 364
P. Maißer 93 0.7× 59 0.7× 53 0.7× 40 0.5× 248 3.5× 29 366
Fred F. Afagh 104 0.7× 61 0.7× 36 0.5× 80 1.1× 60 0.8× 35 304
Hyoungchul Kim 134 0.9× 86 1.0× 68 0.8× 83 1.1× 62 0.9× 13 339
A. Rama Rao 122 0.9× 50 0.6× 137 1.7× 69 0.9× 99 1.4× 42 347
Quan Wang 52 0.4× 49 0.6× 51 0.6× 187 2.6× 60 0.8× 29 346

Countries citing papers authored by Kun Marhadi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Marhadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Marhadi

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

All Works

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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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