Rafał Szłapczyński

2.0k total citations · 1 hit paper
53 papers, 1.6k citations indexed

About

Rafał Szłapczyński is a scholar working on Ocean Engineering, Mechanical Engineering and Environmental Engineering. According to data from OpenAlex, Rafał Szłapczyński has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Ocean Engineering, 16 papers in Mechanical Engineering and 12 papers in Environmental Engineering. Recurrent topics in Rafał Szłapczyński's work include Maritime Navigation and Safety (42 papers), Ship Hydrodynamics and Maneuverability (36 papers) and Structural Integrity and Reliability Analysis (15 papers). Rafał Szłapczyński is often cited by papers focused on Maritime Navigation and Safety (42 papers), Ship Hydrodynamics and Maneuverability (36 papers) and Structural Integrity and Reliability Analysis (15 papers). Rafał Szłapczyński collaborates with scholars based in Poland, Portugal and Estonia. Rafał Szłapczyński's co-authors include Joanna Szłapczyńska, P. Krata, Roman Śmierzchalski, Roberto Vettor, C. Guedes Soares, Jakub Montewka, Mateusz Gil, M.A. Hinostroza, Henryk Krawczyk and José A. Fernandes and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Reliability Engineering & System Safety.

In The Last Decade

Rafał Szłapczyński

49 papers receiving 1.5k citations

Hit Papers

Review of ship safety domains: Models and applications 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafał Szłapczyński Poland 23 1.5k 506 379 350 308 53 1.6k
Junmin Mou China 24 1.6k 1.1× 500 1.0× 350 0.9× 428 1.2× 333 1.1× 88 1.9k
Joanna Szłapczyńska Poland 18 1.0k 0.7× 353 0.7× 220 0.6× 250 0.7× 327 1.1× 38 1.1k
Guoyou Shi China 18 997 0.7× 237 0.5× 224 0.6× 242 0.7× 229 0.7× 70 1.3k
Xiumin Chu China 22 1.0k 0.7× 220 0.4× 198 0.5× 245 0.7× 271 0.9× 129 1.6k
Maohan Liang China 17 750 0.5× 143 0.3× 190 0.5× 177 0.5× 208 0.7× 53 1.1k
Yong Yin China 18 892 0.6× 128 0.3× 167 0.4× 134 0.4× 155 0.5× 105 1.3k
Changshi Xiao China 22 698 0.5× 91 0.2× 109 0.3× 215 0.6× 386 1.3× 77 1.2k
Langxiong Gan China 16 548 0.4× 95 0.2× 87 0.2× 185 0.5× 224 0.7× 58 879
Qing Wu China 15 486 0.3× 189 0.4× 95 0.3× 136 0.4× 93 0.3× 70 891
Wengang Mao Sweden 20 752 0.5× 236 0.5× 42 0.1× 207 0.6× 644 2.1× 105 1.3k

Countries citing papers authored by Rafał Szłapczyński

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Szłapczyński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafał Szłapczyński

This figure shows the co-authorship network connecting the top 25 collaborators of Rafał Szłapczyński. A scholar is included among the top collaborators of Rafał Szłapczyński 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 Rafał Szłapczyński. Rafał Szłapczyński 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.
Szłapczyńska, Joanna, et al.. (2025). Evolutionary multi-objective fishing routing with decision maker’s preferences. Applied Soft Computing. 182. 113587–113587.
2.
Gil, Mateusz, et al.. (2024). Declarative ship arenas under favourable conditions. Ocean Engineering. 316. 119927–119927. 4 indexed citations
3.
Mojeed, Hammed A. & Rafał Szłapczyński. (2024). A Machine Learning Approach for Estimating Overtime Allocation in Software Development Projects. Journal of the Association for Information Systems.
4.
Szłapczyński, Rafał, et al.. (2024). Impact of trajectory simplification methods on modeling carbon dioxide emissions from ships. Ocean Engineering. 305. 117905–117905. 7 indexed citations
5.
Szłapczyński, Rafał, Joanna Szłapczyńska, & Roberto Vettor. (2023). Ship weather routing featuring w-MOEA/D and uncertainty handling. Applied Soft Computing. 138. 110142–110142. 17 indexed citations
6.
Szłapczyński, Rafał, et al.. (2022). Bridge Ergonomic Design: A Review. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 16(4). 701–707. 1 indexed citations
7.
Krata, P., et al.. (2018). Multi-Objective Weather Routing of Sailboats Considering Wave Resistance. Polish Maritime Research. 25(1). 4–12. 18 indexed citations
8.
Szłapczyński, Rafał, P. Krata, & Joanna Szłapczyńska. (2018). A Ship Domain-Based Method of Determining Action Distances for Evasive Manoeuvres in Stand-On Situations. Journal of Advanced Transportation. 2018. 1–19. 24 indexed citations
9.
Szłapczyński, Rafał, et al.. (2018). A Framework of A Ship Domain-Based Near-Miss Detection Method Using Mamdani Neuro-Fuzzy Classification. Polish Maritime Research. 25(s1). 14–21. 31 indexed citations
10.
Szłapczyński, Rafał & Joanna Szłapczyńska. (2015). A Target Information Display for Visualising Collision Avoidance Manoeuvres in Various Visibility Conditions. Journal of Navigation. 68(6). 1041–1055. 41 indexed citations
11.
Szłapczyński, Rafał. (2015). Planowanie i wizualizacja bezpiecznych manewrów statków oparte na zmodyfikowanym diagramie Cockcrofta. 67–79.
12.
Szłapczyński, Rafał. (2013). Evolutionary sets of safe ship trajectories with speed reduction manoeuvres within traffic separation schemes. Polish Maritime Research. 21(1). 20–27. 10 indexed citations
13.
Szłapczyński, Rafał. (2013). Evolutionary Ship Track Planning within Traffic Separation Schemes – Evaluation of Individuals. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 7(2). 301–308. 5 indexed citations
14.
Szłapczyński, Rafał & Joanna Szłapczyńska. (2012). Evolutionary Sets of Safe Ship Trajectories: Evaluation of Individuals. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 6(3). 345–353. 7 indexed citations
15.
Szłapczyński, Rafał & Joanna Szłapczyńska. (2011). Colregs compliance in evolutionary sets of cooperating ship trajectories. Reliability: Theory & Applications. 6. 3 indexed citations
16.
Szłapczyński, Rafał & Joanna Szłapczyńska. (2011). Evolutionary Sets of Safe Ship Trajectories: the Method's Development and Selected Research Results. Archives of Transport. 23(2). 1 indexed citations
17.
Szłapczyński, Rafał & Joanna Szłapczyńska. (2010). Evolutionary sets of safe ship trajectories: development of the method. Logistyka.
18.
Szłapczyński, Rafał. (2008). Fuzzy Collision Threat Parameters Area (FCTPA) - A New Display Proposal. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 2(4). 4 indexed citations
19.
Szłapczyński, Rafał. (2007). Determining the optimal course alteration manoeuvre in a multi-target encounter situation for a given ship domain model. Annual of Navigation. 75–85. 6 indexed citations
20.
Szłapczyński, Rafał. (2005). A New Method of Ship Routing on Raster Grids, with Turn Penalties and Collision Avoidance. Journal of Navigation. 59(1). 27–42. 72 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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