Piotr Rudol

1.1k citations
22 papers · 521 indexed · h-index 10
Topics
Robotic Path Planning Algorithms (11 papers)Robotics and Sensor-Based Localization (10 papers)AI-based Problem Solving and Planning (4 papers)

In The Last Decade

Piotr Rudol

22 papers receiving 479 citations

Peers

Piotr Rudol
Comparison fields: 5 of 69
  • Aerospace Engineering 301
  • Computer Vision and Pattern Recognition 272
  • Artificial Intelligence 102
  • Computer Networks and Communications 83
  • Control and Systems Engineering 52
Replace Gianpaolo Conte with:
Gianpaolo Conte Sweden
Joshua Redding United States
Felix Ruess Germany
Philipp Lutz Germany
Hyon Lim South Korea
Xiaodong Yi China
Qilong Zhang China
Riccardo Polvara United Kingdom
Shaowu Yang China
Markus Quaritsch Austria
Piotr Rudol relative to Gianpaolo Conte Sweden Gianpaolo Conte's profile →
Citations per field
00.5×1.5×
Gianpaolo Conte · 1×
Citations per year

Countries citing papers authored by Piotr Rudol

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Rudol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piotr Rudol

This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Rudol. A scholar is included among the top collaborators of Piotr Rudol 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 Piotr Rudol. Piotr Rudol 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
#WorkIndexed citations
1 1
2 2
3 4
4 1
5 2
6 30
7 2
8 6
9 4
10 9
11 8
12
Increasing Autonomy of Unmanned Aircraft Systems Through the Use of Imaging Sensors
5
13 28
14 207
15 42
16 65
17 13
18 20
19
From Motion Planning to Control - A Navigation Framework for an Autonomous Unmanned Aerial Vehicle
22
20
Faces Everywhere: Towards Ubiquitous Production and Delivery of Face Animation
11

About Piotr Rudol

Piotr Rudol is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 22 papers that have together received 521 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (10 papers) and AI-based Problem Solving and Planning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (272 citations), Aerospace Engineering (301 citations) and Geology (51 citations). Piotr Rudol has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Patrick Doherty, Mariusz Wzorek, Fredrik Heintz, Gianpaolo Conte, Torsten Merz, Olov Andersson, Alexander Kleiner, Cyrille Berger, M. Hempel and Patrick Doherty. Their work appears in journals such as SHILAP Revista de lepidopterología, Autonomous Agents and Multi-Agent Systems and Photogrammetrie - Fernerkundung - Geoinformation.

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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