Milan Veljković

4.1k total citations · 1 hit paper
188 papers, 3.1k citations indexed

About

Milan Veljković is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Milan Veljković has authored 188 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Civil and Structural Engineering, 87 papers in Mechanics of Materials and 68 papers in Mechanical Engineering. Recurrent topics in Milan Veljković's work include Structural Load-Bearing Analysis (92 papers), Structural Behavior of Reinforced Concrete (48 papers) and Mechanical stress and fatigue analysis (38 papers). Milan Veljković is often cited by papers focused on Structural Load-Bearing Analysis (92 papers), Structural Behavior of Reinforced Concrete (48 papers) and Mechanical stress and fatigue analysis (38 papers). Milan Veljković collaborates with scholars based in Netherlands, China and Sweden. Milan Veljković's co-authors include Haohui Xin, Marko Pavlović, Zlatko Marković, Dragan Buđevac, Carlos Rebelo, José A.F.O. Correia, Luís Simões da Silva, Bernt Johansson, Fei Yang and Abílio M.P. De Jesus and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Renewable Energy.

In The Last Decade

Milan Veljković

173 papers receiving 3.0k citations

Hit Papers

Bolted shear connectors vs. headed studs behaviour in pus... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Veljković Netherlands 31 2.0k 1.3k 1.1k 1.1k 243 188 3.1k
Daniel Dias‐da‐Costa Australia 30 2.0k 1.0× 927 0.7× 370 0.3× 826 0.8× 221 0.9× 115 2.9k
Hai Fang China 25 1.0k 0.5× 832 0.6× 911 0.8× 671 0.6× 198 0.8× 136 2.1k
Airong Chen China 29 1.6k 0.8× 601 0.5× 411 0.4× 494 0.5× 231 1.0× 175 2.3k
Lin Jing China 31 1.4k 0.7× 887 0.7× 1.4k 1.3× 439 0.4× 714 2.9× 93 2.5k
R. Ganesh Narayanan India 25 1.9k 0.9× 656 0.5× 1.2k 1.1× 1.2k 1.1× 295 1.2× 161 3.0k
Amin Heidarpour Australia 32 2.3k 1.1× 738 0.6× 517 0.5× 1.2k 1.1× 439 1.8× 132 3.0k
Y.S. Choo Singapore 30 1.3k 0.6× 604 0.5× 499 0.5× 531 0.5× 141 0.6× 92 2.4k
Manicka Dhanasekar Australia 33 2.4k 1.2× 589 0.5× 1.2k 1.1× 1.1k 1.0× 222 0.9× 162 3.0k
Dimitrios Zarouchas Netherlands 26 769 0.4× 1.3k 1.0× 661 0.6× 191 0.2× 117 0.5× 92 1.9k
Cheng Yuan China 26 1.1k 0.5× 369 0.3× 238 0.2× 508 0.5× 157 0.6× 93 1.9k

Countries citing papers authored by Milan Veljković

Since Specialization
Citations

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

Fields of papers citing papers by Milan Veljković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Veljković

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Veljković. A scholar is included among the top collaborators of Milan Veljković 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 Milan Veljković. Milan Veljković 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.
Xin, Haohui, et al.. (2025). Ductile fracture assessment of wire and arc additive manufactured steel materials. Journal of Constructional Steel Research. 228. 109422–109422.
2.
Tankova, Trayana, et al.. (2025). Fatigue life prediction methodology for L-flange connection under different preload levels based on crack growth analysis. Thin-Walled Structures. 217. 113893–113893. 1 indexed citations
3.
Xin, Haohui, Xiao‐Ling Zhao, Gao Liu, Youyou Zhang, & Milan Veljković. (2025). Fatigue behavior analysis of high-strength Bolt materials with diverse grades: An experimental approach. Journal of Constructional Steel Research. 234. 109716–109716.
4.
Yan, Rui & Milan Veljković. (2023). Component method for bolted SHS end plate splice joints loaded in tension. Structures. 59. 105704–105704.
5.
Yan, Rui, Haohui Xin, Milan Veljković, & Luís Simões da Silva. (2023). Tensile behaviour of asymmetric bolted square hollow section column splices. Thin-Walled Structures. 190. 111014–111014. 2 indexed citations
6.
Li, Jie, Haohui Xin, Zhiqiang Wang, et al.. (2023). Numerical parametric evaluation of ultimate resistance of high-strength bolts. Structures. 56. 104967–104967. 2 indexed citations
7.
Yan, Rui, et al.. (2023). A macro prediction model for butt-welded (U)HSS connections with softened HAZ. Journal of Constructional Steel Research. 211. 108153–108153. 5 indexed citations
8.
Pavlović, Marko, et al.. (2023). Interfacial fatigue debonding retardation in wrapped composite joints: Experimental and numerical study. Composite Structures. 319. 117146–117146. 5 indexed citations
9.
Skejić, Davor, et al.. (2022). Structural Steel Joints with Bolts in Threaded Holes. Tehnicki vjesnik - Technical Gazette. 29(4).
10.
Xin, Haohui, Jielin Liu, José A.F.O. Correia, et al.. (2022). Mixed-mode fatigue crack propagation simulation by means of Geq and walker models of the structural steel S355. Theoretical and Applied Fracture Mechanics. 123. 103717–103717. 13 indexed citations
11.
Pavlović, Marko, et al.. (2018). FE validation of the equivalent diameter calculation model for grouped headed studs. GraFar (University of Belgrade, Faculty of Civil Engineering). 1 indexed citations
12.
Veljković, Milan, et al.. (2016). Resistance of cold-formed high strength steel circular and polygonal sections - Part 2: Numerical investigations. Journal of Constructional Steel Research. 125. 227–238. 5 indexed citations
13.
Iqbal, Naveed, et al.. (2016). Axial Force And Deformation Of A Restrained Steel Beam In Fire : Description and validation of a simplified analytical procedure. 12(2). 174–193. 2 indexed citations
14.
Santiago, Aldina, et al.. (2015). Sub-frames with reverse channel connectiolns to CFT composite columns : experimental evaluation. 11(1). 111–126. 1 indexed citations
15.
Veljković, Milan, et al.. (2015). Resistance of cold-formed high strength steel circular and polygonal sections — Part 1: Experimental investigations. Journal of Constructional Steel Research. 120. 245–257. 26 indexed citations
16.
Veljković, Milan, Jean‐Pierre Jaspart, Jean‐François Demonceau, et al.. (2014). Optimization of frames for effective assembling. Open Repository and Bibliography (University of Liège).
17.
Veljković, Milan, et al.. (2014). RESISTANCE OF DOOR OPENINGS IN TOWERS FOR WIND TURBINES. 6 indexed citations
18.
Veljković, Milan, et al.. (2013). RESISTANCE OF DOOR OPENINGS IN TOWERS FOR WIND TURBINES. 312–324. 1 indexed citations
19.
Veljković, Milan, et al.. (2011). PREDICTION OF TEMPERATURE VARIATION IN AN EXPERIMENTAL BUILDING. KTH Publication Database DiVA (KTH Royal Institute of Technology). 387–392. 1 indexed citations
20.
Sandström, Joakim, Ulf Wickström, & Milan Veljković. (2009). Adiabatic surface temperature : a sufficient input data for a thermal model. 102. 3 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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