Robert Jankowski

6.0k total citations · 7 hit papers
186 papers, 4.2k citations indexed

About

Robert Jankowski is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Robert Jankowski has authored 186 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Civil and Structural Engineering, 24 papers in Control and Systems Engineering and 24 papers in Building and Construction. Recurrent topics in Robert Jankowski's work include Seismic Performance and Analysis (103 papers), Structural Engineering and Vibration Analysis (58 papers) and Structural Response to Dynamic Loads (56 papers). Robert Jankowski is often cited by papers focused on Seismic Performance and Analysis (103 papers), Structural Engineering and Vibration Analysis (58 papers) and Structural Response to Dynamic Loads (56 papers). Robert Jankowski collaborates with scholars based in Poland, Iran and Iraq. Robert Jankowski's co-authors include Farzin Kazemi, Neda Asgarkhani, Sayed Mahmoud, Mahmoud Miari, Krzysztof Wilde, Yozo Fujino, Tomasz Falborski, Hosein Naderpour, Kok Keong Choong and Ayman Seleemah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Robert Jankowski

173 papers receiving 4.0k citations

Hit Papers

Machine learning-based seismic fragility and seismic vuln... 2023 2026 2024 2025 2023 2023 2023 2024 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
    2023 176 citations Farzin Kazemi, Neda Asgarkhani et al. profile →
  2. Machine learning-based seismic response and performance assessment of reinforced concrete buildings
    2023 130 citations Farzin Kazemi, Neda Asgarkhani et al. Archives of Civil and Mechanical Engineering profile →
  3. Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
    2023 98 citations Neda Asgarkhani, Farzin Kazemi et al. profile →
  4. Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
    2024 88 citations Farzin Kazemi, Neda Asgarkhani et al. profile →
  5. Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
    2023 83 citations Neda Asgarkhani, Farzin Kazemi et al. profile →
  6. Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
    2024 57 citations Farzin Kazemi, Neda Asgarkhani et al. profile →
  7. RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials
    2025 41 citations Farzin Kazemi, Neda Asgarkhani et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Jankowski Poland 37 3.7k 660 631 355 186 186 4.2k
Giuseppe Carlo Marano Italy 37 3.4k 0.9× 285 0.4× 807 1.3× 467 1.3× 164 0.9× 262 4.1k
Nicholas A Alexander United Kingdom 32 3.1k 0.8× 407 0.6× 815 1.3× 424 1.2× 153 0.8× 143 3.6k
Joel P. Conte United States 41 4.3k 1.2× 485 0.7× 718 1.1× 627 1.8× 111 0.6× 156 4.8k
Carlos E. Ventura Canada 30 3.6k 1.0× 435 0.7× 529 0.8× 528 1.5× 93 0.5× 161 3.9k
Adam J Crewe United Kingdom 27 2.8k 0.8× 293 0.4× 737 1.2× 302 0.9× 172 0.9× 92 3.1k
Izuru Takewaki Japan 39 5.1k 1.4× 509 0.8× 277 0.4× 230 0.6× 341 1.8× 323 5.4k
Giuseppe Ricciardi Italy 28 3.0k 0.8× 336 0.5× 649 1.0× 345 1.0× 236 1.3× 92 3.7k
Stephen A. Mahin United States 39 4.5k 1.2× 883 1.3× 1.2k 1.9× 1.1k 3.0× 219 1.2× 140 5.3k
Tara C. Hutchinson United States 30 3.2k 0.9× 183 0.3× 590 0.9× 209 0.6× 95 0.5× 190 3.7k
Colin Anthony Taylor United Kingdom 22 1.8k 0.5× 306 0.5× 265 0.4× 247 0.7× 172 0.9× 90 2.2k

Countries citing papers authored by Robert Jankowski

Since Specialization
Citations

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

Fields of papers citing papers by Robert Jankowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Jankowski

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Jankowski. A scholar is included among the top collaborators of Robert Jankowski 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 Robert Jankowski. Robert Jankowski 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.
2.
Falborski, Tomasz, et al.. (2024). Comparative analysis of seismic response reduction in multi-storey buildings equipped with base isolation and passive/active friction-tuned mass dampers. Advances in Engineering Software. 198. 103765–103765. 18 indexed citations
3.
Kazemi, Farzin, et al.. (2024). Development and experimental validation of a novel double-stage yield steel slit damper-buckling restrained brace. Engineering Structures. 315. 118427–118427. 22 indexed citations
4.
Zamani, Abbas‐Ali, et al.. (2024). An optimal nonlinear fractional order controller for passive/active base isolation building equipped with friction-tuned mass dampers. Communications in Nonlinear Science and Numerical Simulation. 140. 108405–108405. 15 indexed citations
5.
Saeed, Najmadeen, et al.. (2024). Deformation mitigation and twisting moment control in space frames. Structures. 68. 107227–107227. 1 indexed citations
6.
Saeed, Najmadeen, et al.. (2023). Buckling and shape control of prestressable trusses using optimum number of actuators. Scientific Reports. 13(1). 3838–3838. 8 indexed citations
7.
Naderpour, Hosein, et al.. (2023). Optimum shapes and dimensions of rubber bumpers in order to reduce structural pounding during seismic excitations. Structures. 48. 1046–1056. 4 indexed citations
8.
Uz, Mehmet E., et al.. (2023). Numerical Analysis of Seismic Pounding between Adjacent Buildings Accounting for SSI. Applied Sciences. 13(5). 3092–3092. 11 indexed citations
9.
Saeed, Najmadeen, et al.. (2022). Using Minimum Actuators to Control Shape and Stress of a Double Layer Spherical Model Under Gravity and Lateral Loadings. SHILAP Revista de lepidopterología. 16(6). 1–13. 7 indexed citations
10.
Jankowski, Robert, et al.. (2021). Mitigating the seismic pounding of multi-story buildings in series using linear and nonlinear fluid viscous dampers. Archives of Civil and Mechanical Engineering. 21(4). 23 indexed citations
11.
Seleemah, Ayman, et al.. (2019). Influence of soil–structure interaction on seismic pounding between steel frame buildings considering the effect of infill panels. Bulletin of Earthquake Engineering. 17(11). 6165–6202. 56 indexed citations
12.
Naderpour, Hosein, et al.. (2019). Determination of Peak Impact Force for Buildings Exposed to Structural Pounding during Earthquakes. Geosciences. 10(1). 18–18. 10 indexed citations
13.
Jankowski, Robert, et al.. (2019). Experimental Study on Dynamics of Wooden House Wall Panels with Different Thermal Isolation. Applied Sciences. 9(20). 4387–4387. 7 indexed citations
14.
Naderpour, Hosein, et al.. (2019). Seismic Response of High-Rise Buildings Equipped with Base Isolation and Non-Traditional Tuned Mass Dampers. Applied Sciences. 9(6). 1201–1201. 39 indexed citations
15.
Jankowski, Robert. (2017). Damage-Involved Structural Pounding in Bridges under Seismic Excitation. Key engineering materials. 754. 309–312. 3 indexed citations
16.
Falborski, Tomasz & Robert Jankowski. (2017). Experimental Study on Effectiveness of a Prototype Seismic Isolation System Made of Polymeric Bearings. Applied Sciences. 7(8). 808–808. 38 indexed citations
17.
Galewski, Marek, et al.. (2014). On the existence of bounded solutions for nonlinear second order neutral difference equations \n. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 5 indexed citations
18.
Jankowski, Robert, et al.. (2013). An Approach for the Response of Buildings Subjected to Impact Load after Soft-Story Failure due to Earthquake Excitation. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Falborski, Tomasz, Robert Jankowski, & Arkadiusz Kwiecień. (2011). Experimental Study on Polymer Mass Used to Repair Damaged Structures. Key engineering materials. 488-489. 347–350. 26 indexed citations
20.
Jankowski, Robert. (2005). Impact Force Spectrum for Damage Assessment of Earthquake-Induced Structural Pounding. Key engineering materials. 293-294. 711–718. 36 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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