Pentti Kujala

9.8k total citations · 3 hit papers
285 papers, 7.8k citations indexed

About

Pentti Kujala is a scholar working on Ocean Engineering, Atmospheric Science and Mechanical Engineering. According to data from OpenAlex, Pentti Kujala has authored 285 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Ocean Engineering, 106 papers in Atmospheric Science and 106 papers in Mechanical Engineering. Recurrent topics in Pentti Kujala's work include Maritime Navigation and Safety (109 papers), Arctic and Antarctic ice dynamics (105 papers) and Structural Integrity and Reliability Analysis (86 papers). Pentti Kujala is often cited by papers focused on Maritime Navigation and Safety (109 papers), Arctic and Antarctic ice dynamics (105 papers) and Structural Integrity and Reliability Analysis (86 papers). Pentti Kujala collaborates with scholars based in Finland, China and Estonia. Pentti Kujala's co-authors include Floris Goerlandt, Jakub Montewka, Maria Hänninen, Osiris A. Valdez Banda, Spyros Hirdaris, Mingyang Zhang, Weibin Zhang, Krzysztof Wróbel, Mikko Suominen and Arsham Mazaheri and has published in prestigious journals such as Water Research, Expert Systems with Applications and Marine Pollution Bulletin.

In The Last Decade

Pentti Kujala

270 papers receiving 7.4k citations

Hit Papers

Towards the assessment of... 2017 2026 2020 2023 2017 2018 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Pentti Kujala 5.5k 2.7k 2.0k 1.2k 1.2k 285 7.8k
Floris Goerlandt 4.0k 0.7× 1.7k 0.6× 1.8k 0.9× 936 0.8× 512 0.4× 158 6.0k
Jakub Montewka 4.1k 0.7× 1.6k 0.6× 1.6k 0.8× 929 0.8× 364 0.3× 110 5.0k
Pieter van Gelder 2.1k 0.4× 823 0.3× 1.1k 0.6× 466 0.4× 619 0.5× 284 6.3k
Mingyang Zhang 2.0k 0.4× 528 0.2× 574 0.3× 497 0.4× 216 0.2× 121 2.9k
Dan M. Frangopol 723 0.1× 2.6k 0.9× 6.0k 3.0× 256 0.2× 217 0.2× 636 23.3k
A.P. Teixeira 2.4k 0.4× 2.1k 0.8× 1.6k 0.8× 596 0.5× 55 0.0× 131 5.1k
Bing Wu 1.4k 0.3× 643 0.2× 599 0.3× 401 0.3× 105 0.1× 197 3.7k
Tsz Leung Yip 1.2k 0.2× 342 0.1× 371 0.2× 1.0k 0.9× 144 0.1× 153 3.1k
Paolo Gardoni 738 0.1× 764 0.3× 2.5k 1.2× 138 0.1× 204 0.2× 338 10.9k
Brian Veitch 1.1k 0.2× 467 0.2× 1.8k 0.9× 111 0.1× 386 0.3× 204 4.0k

Countries citing papers authored by Pentti Kujala

Since Specialization
Citations

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

Fields of papers citing papers by Pentti Kujala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pentti Kujala

This figure shows the co-authorship network connecting the top 25 collaborators of Pentti Kujala. A scholar is included among the top collaborators of Pentti Kujala 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 Pentti Kujala. Pentti Kujala 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.
Kujala, Pentti, et al.. (2025). Maritime Security Operations Center (M-SOC): Systematic Literature Review, Research Gaps and Future Areas to Investigate. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 19(4). 1141–1155.
2.
3.
Li, Fang, et al.. (2024). A voyage-level ship performance modelling approach for the simulation of the Finnish-Swedish winter navigation system. Ocean Engineering. 295. 116997–116997. 2 indexed citations
4.
Li, Fang, et al.. (2024). Ice channel breakout performance of a double-acting vessel. Ocean Engineering. 293. 116657–116657. 2 indexed citations
5.
Zhang, Mingyang, et al.. (2024). Systems driven intelligent decision support methods for ship collision and grounding prevention: Present status, possible solutions, and challenges. Reliability Engineering & System Safety. 253. 110489–110489. 43 indexed citations
6.
Wang, Mengmeng, Atilla İncecik, Zhe Tian, et al.. (2024). Structural health monitoring on offshore jacket platforms using a novel ensemble deep learning model. Ocean Engineering. 301. 117510–117510. 15 indexed citations
7.
Bolbot, Victor, et al.. (2023). Small Unmanned Surface Vessels—A Review and Critical Analysis of Relations to Safety and Safety Assurance of Larger Autonomous Ships. Journal of Marine Science and Engineering. 11(12). 2387–2387. 9 indexed citations
8.
Huang, Luofeng, et al.. (2022). An investigation on the speed dependence of ice resistance using an advanced CFD+DEM approach based on pre-sawn ice tests. Ocean Engineering. 264. 112530–112530. 14 indexed citations
9.
Bergström, Martin, Sören Ehlers, Inari Helle, et al.. (2022). A comprehensive approach to scenario-based risk management for Arctic waters. Ship Technology Research. 69(3). 129–157. 8 indexed citations
10.
Kujala, Pentti, et al.. (2022). Simulation Tool for Winter Navigation Decision Support in the Baltic Sea. Applied Sciences. 12(15). 7568–7568. 8 indexed citations
11.
Kim, Sang-Jin, et al.. (2021). Comparison of numerical approaches for structural response analysis of passenger ships in collisions and groundings. Marine Structures. 81. 103125–103125. 24 indexed citations
12.
Kim, Sang-Jin, et al.. (2020). A Quasi-Dynamic Approach for the Evaluation of Structural Response in Ship Collisions and Groundings. 2 indexed citations
13.
Goerlandt, Floris, et al.. (2019). A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea. Marine Pollution Bulletin. 139. 440–458. 45 indexed citations
14.
Mikkola, Tommi, et al.. (2019). Taimuri et al_NUTTS19.pdf. Figshare. 10 indexed citations
15.
Kujala, Pentti, et al.. (2019). Validation of the new risk based design approaches (Polaris) for arctic and antarctic operations. Proceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions. 6 indexed citations
16.
Suominen, Mikko, et al.. (2016). Research of ice-induced load on a ship hull based on an inverse method. Chuanbo lixue. 20(12). 1604–1618. 2 indexed citations
17.
Kujala, Pentti, et al.. (2014). Ship propagation through ice field. 47(2). 34–49. 2 indexed citations
18.
Tirunagari, Santosh, et al.. (2012). Impact of Similarity Measures on Causal Relation Based Feature Selection Method for Clustering Maritime Accident Reports. Journal of Global Research in Computer Sciences. 3(8). 46–50. 4 indexed citations
19.
Kujala, Pentti, et al.. (2011). Risk-Based Approach for Structural Design of Ice-Strengthened Vessels Navigating in the Baltic Sea.. Aaltodoc (Aalto University). 3 indexed citations
20.
Rigo, Philippe, Bo Cerup Simonsen, Segen F. Estefen, et al.. (2003). Ultimate Strength - Report of ISSC Technical Committee III.1, 2000-2003. Open Repository and Bibliography (University of Liège). 1 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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