Tomasz Praczyk
Impact in
- Ocean Engineering top 5%
- Maritime Navigation and Safety
- Underwater Vehicles and Communication Systems
- Ship Hydrodynamics and Maneuverability
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- Robotic Path Planning Algorithms
Papers in
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- Underwater Vehicles and Communication Systems 21
- Maritime Navigation and Safety 14
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- Evolutionary Algorithms and Applications 18
- Metaheuristic Optimization Algorithms Research 15
- Neural Networks and Applications 14
- Reinforcement Learning in Robotics 10
Tomasz Praczyk
56 papers receiving 337 citations
Peers
Comparison fields: 5 of 51
- Ocean Engineering 209
- Computer Vision and Pattern Recognition 90
- Artificial Intelligence 138
- Transportation 21
- Aerospace Engineering 73
Countries citing papers authored by Tomasz Praczyk
This map shows the geographic impact of Tomasz Praczyk'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 Tomasz Praczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Praczyk more than expected).
Fields of papers citing papers by Tomasz Praczyk
This network shows the impact of papers produced by Tomasz Praczyk. 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 Tomasz Praczyk. The network helps show where Tomasz Praczyk may publish in the future.
Co-authors
The 2 scholars most cited alongside Tomasz Praczyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 59 | |
| 2 | 2017 | 22 | |
| 3 | 2019 | 20 | |
| 4 | 2016 | 19 | |
| 5 | 2011 | 19 | |
| 6 | 2007 | 17 | |
| 7 | 2023 | 17 | |
| 8 | 2015 | 12 | |
| 9 | Using Assembler Encoding to Solve Inverted Pendulum Problem | 2009 | 10 |
| 10 | Procedure application in assembler encoding | 2007 | 9 |
| 11 | 2019 | 9 | |
| 12 | 2008 | 9 | |
| 13 | 2014 | 9 | |
| 14 | Control systems of underwater vehicles in multi-agent system of underwater inspection | 2009 | 9 |
| 15 | 2015 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2016 | 6 |
About Tomasz Praczyk
Tomasz Praczyk is a scholar working on Ocean Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 73 papers that have together received 388 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (21 papers), Evolutionary Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (15 papers), Maritime Navigation and Safety (14 papers), Neural Networks and Applications (14 papers), Robotic Path Planning Algorithms (13 papers), Reinforcement Learning in Robotics (10 papers) and Artificial Immune Systems Applications (7 papers). The work is most often cited by research in Ocean Engineering (209 citations), Computer Vision and Pattern Recognition (90 citations), Artificial Intelligence (138 citations), Transportation (21 citations) and Aerospace Engineering (73 citations). Tomasz Praczyk has collaborated with scholars based in Poland and United States. Frequent co-authors include Piotr Szymak and Krzysztof Naus. Their work appears in journals such as Neurocomputing, Applied Soft Computing, Soft Computing, Journal of Intelligent & Fuzzy Systems and International Journal of Applied Mathematics and Computer Science.
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.