Teemu Manderbacka

576 total citations · 1 hit paper
20 papers, 480 citations indexed

About

Teemu Manderbacka is a scholar working on Ocean Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Teemu Manderbacka has authored 20 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ocean Engineering, 11 papers in Computational Mechanics and 7 papers in Mechanical Engineering. Recurrent topics in Teemu Manderbacka's work include Ship Hydrodynamics and Maneuverability (14 papers), Fluid Dynamics Simulations and Interactions (11 papers) and Maritime Navigation and Safety (7 papers). Teemu Manderbacka is often cited by papers focused on Ship Hydrodynamics and Maneuverability (14 papers), Fluid Dynamics Simulations and Interactions (11 papers) and Maritime Navigation and Safety (7 papers). Teemu Manderbacka collaborates with scholars based in Finland, Brazil and Poland. Teemu Manderbacka's co-authors include Pekka Ruponen, Spyros Hirdaris, Jakub Montewka, Mingyang Zhang, Pentti Kujala, Jerzy Matusiak, Tommi Mikkola, Marcelo A. S. Neves, Mateusz Gil and Kari Tammi and has published in prestigious journals such as Reliability Engineering & System Safety, Ocean Engineering and Engineering Applications of Artificial Intelligence.

In The Last Decade

Teemu Manderbacka

20 papers receiving 459 citations

Hit Papers

A Big Data Analytics Method for the Evaluation of Ship - ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teemu Manderbacka Finland 12 419 172 172 67 62 20 480
Jerzy Matusiak Finland 12 589 1.4× 285 1.7× 362 2.1× 71 1.1× 53 0.9× 42 711
Daisuke Terada Japan 10 325 0.8× 71 0.4× 70 0.4× 56 0.8× 56 0.9× 27 412
Key-Pyo Rhee South Korea 12 476 1.1× 170 1.0× 171 1.0× 43 0.6× 43 0.7× 42 531
P. Krata Poland 16 667 1.6× 70 0.4× 286 1.7× 119 1.8× 105 1.7× 55 757
Eleftheria Eliopoulou Greece 10 357 0.9× 62 0.4× 189 1.1× 46 0.7× 43 0.7× 13 433
Alistair Greig United Kingdom 8 254 0.6× 55 0.3× 124 0.7× 41 0.6× 66 1.1× 12 417
George Zaraphonitis Greece 14 411 1.0× 134 0.8× 169 1.0× 42 0.6× 9 0.1× 38 516
Luigi Vitiello Italy 12 254 0.6× 158 0.9× 61 0.4× 50 0.7× 9 0.1× 18 383
Yoshitaka Furukawa Japan 9 299 0.7× 59 0.3× 69 0.4× 38 0.6× 34 0.5× 26 331
Katsuro Kijima Japan 8 289 0.7× 71 0.4× 59 0.3× 35 0.5× 32 0.5× 29 318

Countries citing papers authored by Teemu Manderbacka

Since Specialization
Citations

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

Fields of papers citing papers by Teemu Manderbacka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teemu Manderbacka

This figure shows the co-authorship network connecting the top 25 collaborators of Teemu Manderbacka. A scholar is included among the top collaborators of Teemu Manderbacka 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 Teemu Manderbacka. Teemu Manderbacka 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.
Zhang, Mingyang, et al.. (2025). A hybrid deep learning method for the real-time prediction of collision damage consequences in operational conditions. Engineering Applications of Artificial Intelligence. 145. 110158–110158. 3 indexed citations
2.
Ruponen, Pekka, et al.. (2022). A framework for onboard assessment and monitoring of flooding risk due to open watertight doors for passenger ships. Reliability Engineering & System Safety. 226. 108666–108666. 16 indexed citations
3.
Manderbacka, Teemu, et al.. (2021). Convex Optimisation Model for Ship Speed Profile: Optimisation under Fixed Schedule. Journal of Marine Science and Engineering. 9(7). 730–730. 12 indexed citations
4.
Montewka, Jakub, et al.. (2021). Accident susceptibility index for a passenger ship-a framework and case study. Reliability Engineering & System Safety. 218. 108145–108145. 46 indexed citations
5.
Zhang, Mingyang, Jakub Montewka, Teemu Manderbacka, Pentti Kujala, & Spyros Hirdaris. (2021). A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions. Reliability Engineering & System Safety. 213. 107674–107674. 174 indexed citations breakdown →
6.
Zhang, Mingyang, Jakub Montewka, Teemu Manderbacka, Pentti Kujala, & Spyros Hirdaris. (2020). Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data. 8 indexed citations
7.
Ruponen, Pekka, et al.. (2019). On the alternative approaches to stability analysis in decision support for damaged passenger ships. WMU Journal of Maritime Affairs. 18(3). 477–494. 17 indexed citations
8.
Manderbacka, Teemu, Nikos Themelis, Evangelos Boulougouris, et al.. (2019). An overview of the current research on stability of ships and ocean vehicles: The STAB2018 perspective. Ocean Engineering. 186. 106090–106090. 34 indexed citations
9.
Manderbacka, Teemu, et al.. (2018). Feedback to design power requirements from statistical methods applied to onboard measurements. 917–922. 1 indexed citations
10.
Manderbacka, Teemu, et al.. (2017). Development of a New Practical Ship Motion Calculation Method With Forward Speed. The 27th International Ocean and Polar Engineering Conference. 1 indexed citations
11.
Ruponen, Pekka, et al.. (2017). On the calculation of the righting lever curve for a damaged ship. Ocean Engineering. 149. 313–324. 18 indexed citations
12.
Manderbacka, Teemu & Pekka Ruponen. (2016). The impact of the inflow momentum on the transient roll response of a damaged ship. Ocean Engineering. 120. 346–352. 25 indexed citations
13.
Manderbacka, Teemu, et al.. (2016). Numerical sloshing simulations: Comparison between lagrangian and lumped mass models applied to two compartments with mass transfer. Ocean Engineering. 114. 168–184. 19 indexed citations
14.
Manderbacka, Teemu, Tommi Mikkola, & Jerzy Matusiak. (2015). Study of damping effect of the floodwater on a damaged ship roll motion. The Twenty-fifth International Ocean and Polar Engineering Conference. 945–951. 4 indexed citations
15.
Manderbacka, Teemu, et al.. (2015). Model experiments of the transient response to flooding of the box shaped barge. Journal of Fluids and Structures. 57. 127–143. 33 indexed citations
16.
Manderbacka, Teemu. (2015). Fast simulation method for transient flooding of a ship. Aaltodoc (Aalto University). 2 indexed citations
17.
Manderbacka, Teemu, Tommi Mikkola, Pekka Ruponen, & Jerzy Matusiak. (2015). Transient response of a ship to an abrupt flooding accounting for the momentum flux. Journal of Fluids and Structures. 57. 108–126. 46 indexed citations
18.
Manderbacka, Teemu, et al.. (2014). Model tests on the impact of the opening location on the water motions in a flooded tank with two compartments. Ocean Engineering. 84. 67–80. 7 indexed citations
19.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026