Karol Majek

542 total citations
22 papers, 302 citations indexed

About

Karol Majek is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Karol Majek has authored 22 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Karol Majek's work include Robotics and Sensor-Based Localization (14 papers), 3D Surveying and Cultural Heritage (5 papers) and Advanced Neural Network Applications (5 papers). Karol Majek is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), 3D Surveying and Cultural Heritage (5 papers) and Advanced Neural Network Applications (5 papers). Karol Majek collaborates with scholars based in Poland, Belgium and Germany. Karol Majek's co-authors include Arkadiusz Kwasigroch, Sylwia Majchrowska, Agnieszka Mikołajczyk, Janusz Będkowski, Geert De Cubber, Roland Siegwart, Daniel Serrano, Haris Balta, Kostas Alexis and Shashank Govindaraj and has published in prestigious journals such as Waste Management, Automation in Construction and Engineering Applications of Artificial Intelligence.

In The Last Decade

Karol Majek

20 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karol Majek Poland 7 140 80 76 33 30 22 302
Marek Kraft Poland 11 178 1.3× 107 1.3× 24 0.3× 16 0.5× 5 0.2× 31 292
Omar Arif Pakistan 8 101 0.7× 19 0.2× 14 0.2× 56 1.7× 32 1.1× 33 389
Lingyun Bi China 9 217 1.6× 113 1.4× 10 0.1× 6 0.2× 6 0.2× 13 425
Zhicheng Feng China 8 151 1.1× 24 0.3× 15 0.2× 5 0.2× 4 0.1× 14 276
Haitong Lou China 8 234 1.7× 127 1.6× 10 0.1× 6 0.2× 5 0.2× 13 438
Xuehu Duan China 6 218 1.6× 114 1.4× 10 0.1× 6 0.2× 5 0.2× 10 416
Adedeji Olugboja South Africa 5 147 1.1× 16 0.2× 110 1.4× 45 1.5× 7 318
Yolanda Bolea Spain 11 53 0.4× 89 1.1× 7 0.1× 14 0.4× 75 446
Jun-Hwa Kim South Korea 6 151 1.1× 45 0.6× 4 0.1× 4 0.1× 4 0.1× 10 279

Countries citing papers authored by Karol Majek

Since Specialization
Citations

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

Fields of papers citing papers by Karol Majek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karol Majek

This figure shows the co-authorship network connecting the top 25 collaborators of Karol Majek. A scholar is included among the top collaborators of Karol Majek 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 Karol Majek. Karol Majek 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.
Majek, Karol, et al.. (2025). SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking. SoftwareX. 30. 102110–102110. 2 indexed citations
2.
Majek, Karol, et al.. (2025). Enhanced lightweight detection of small and tiny objects in high-resolution images using object tracking-based region of interest proposal. Engineering Applications of Artificial Intelligence. 153. 110852–110852. 2 indexed citations
3.
Będkowski, Janusz, et al.. (2024). Semi Autonomous Mobile Robot for Inspection Missions. 1–4. 1 indexed citations
4.
Belter, Dominik, et al.. (2023). Deep Learning for Small and Tiny Object Detection: A Survey. Pomiary Automatyka Robotyka. 27(3). 85–94. 1 indexed citations
5.
Majchrowska, Sylwia, et al.. (2021). Deep learning-based waste detection in natural and urban environments. Waste Management. 138. 274–284. 162 indexed citations
6.
7.
Majek, Karol, et al.. (2019). Testing the affordable system for digitizing USAR scenes. 1–2. 2 indexed citations
8.
Majek, Karol, et al.. (2016). Lidarometry as a Variant of Integration of Photogrammetric and Laser Scanning Data. 1 indexed citations
9.
Balta, Haris, Janusz Będkowski, Shashank Govindaraj, et al.. (2016). Integrated Data Management for a Fleet of Search‐and‐rescue Robots. Journal of Field Robotics. 34(3). 539–582. 74 indexed citations
10.
Będkowski, Janusz, et al.. (2016). Performance comparison between state-of-the-art point-cloud based collision detection approaches on the CPU and GPU. IFAC-PapersOnLine. 49(30). 54–59. 6 indexed citations
11.
Będkowski, Janusz, et al.. (2015). Intelligent Mobile System for Improving Spatial Design Support and Security Inside Buildings. Mobile Networks and Applications. 21(2). 313–326. 7 indexed citations
12.
13.
Majek, Karol & Janusz Będkowski. (2014). Comparison of scanning strategies for the Small Mobile Mapping System. 5(3).
14.
Majek, Karol, Janusz Będkowski, Geert De Cubber, et al.. (2014). Training and Support system in the Cloud for improving the situational awareness in Search and Rescue (SAR) operations. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 4. 1–6. 2 indexed citations
15.
Będkowski, Janusz, et al.. (2014). Towards terrestrial 3D data registration improved by parallel programming and evaluated with geodetic precision. Automation in Construction. 47. 78–91. 7 indexed citations
16.
Będkowski, Janusz, et al.. (2013). Methodology of Training and Support for Urban Search and Rescue With Robots. 77–82. 1 indexed citations
17.
Będkowski, Janusz, Karol Majek, & Andreas Nüchter. (2013). General Purpose Computing on Graphics Processing Units for Robotic Applications. Aisberg (University of Bergamo). 4(1). 23–33. 12 indexed citations
18.
Majek, Karol, et al.. (2013). RECOGNITION OF 3D OBJECTS FOR WALKING ROBOT EQUIPPED WITH MULTISENSE-SL SENSOR HEAD. 797–804. 1 indexed citations
19.
Majek, Karol, et al.. (2012). Mobilny system tworzenia przestrzennej dokumentacji semantycznej. Pomiary Automatyka Kontrola. 1117–1120. 1 indexed citations
20.
Majek, Karol, et al.. (2012). Projekt autonomicznego robota inspekcyjnego. 278–282. 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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