Titus Cieslewski

1.2k total citations
20 papers, 771 citations indexed

About

Titus Cieslewski is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Titus Cieslewski has authored 20 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Titus Cieslewski's work include Robotics and Sensor-Based Localization (13 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Modular Robots and Swarm Intelligence (7 papers). Titus Cieslewski is often cited by papers focused on Robotics and Sensor-Based Localization (13 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Modular Robots and Swarm Intelligence (7 papers). Titus Cieslewski collaborates with scholars based in Switzerland, United States and Mexico. Titus Cieslewski's co-authors include Davide Scaramuzza, Elia Kaufmann, Matthias Faessler, Roland Siegwart, Jeffrey Delmerico, Henri Rebecq, Simon Lynen, Marcin Dymczyk, Giovanni Cioffi and Stéphane Magnenat and has published in prestigious journals such as IEEE Robotics and Automation Letters, Intelligent Service Robotics and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Titus Cieslewski

20 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Titus Cieslewski Switzerland 13 557 502 122 120 111 20 771
Yufeng Yue China 17 511 0.9× 519 1.0× 120 1.0× 133 1.1× 127 1.1× 85 844
Shaowu Yang China 15 487 0.9× 512 1.0× 81 0.7× 84 0.7× 63 0.6× 76 747
Samuel Prentice United States 6 649 1.2× 568 1.1× 111 0.9× 113 0.9× 94 0.8× 7 814
Yun Chang United States 11 474 0.9× 391 0.8× 107 0.9× 86 0.7× 66 0.6× 15 670
Tung Dang United States 15 689 1.2× 647 1.3× 70 0.6× 132 1.1× 112 1.0× 22 882
Ruijie He United States 10 844 1.5× 693 1.4× 135 1.1× 138 1.1× 115 1.0× 18 1.0k
Joan Solà Spain 17 671 1.2× 552 1.1× 219 1.8× 145 1.2× 50 0.5× 45 941
Arturo Gil Spain 16 582 1.0× 600 1.2× 94 0.8× 157 1.3× 109 1.0× 60 862
Luis Riazuelo Spain 13 391 0.7× 363 0.7× 113 0.9× 210 1.8× 197 1.8× 25 724
Renaud Dubé Switzerland 14 469 0.8× 385 0.8× 116 1.0× 66 0.6× 49 0.4× 20 675

Countries citing papers authored by Titus Cieslewski

Since Specialization
Citations

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

Fields of papers citing papers by Titus Cieslewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Titus Cieslewski

This figure shows the co-authorship network connecting the top 25 collaborators of Titus Cieslewski. A scholar is included among the top collaborators of Titus Cieslewski 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 Titus Cieslewski. Titus Cieslewski 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.
Cioffi, Giovanni, Titus Cieslewski, & Davide Scaramuzza. (2022). Continuous-Time Vs. Discrete-Time Vision-Based SLAM: A Comparative Study. IEEE Robotics and Automation Letters. 7(2). 2399–2406. 39 indexed citations
2.
Cieslewski, Titus, et al.. (2020). Augmenting Visual Place Recognition With Structural Cues. Zurich Open Repository and Archive (University of Zurich). 18 indexed citations
3.
Cieslewski, Titus, Andreas Ziegler, & Davide Scaramuzza. (2019). Exploration Without Global Consistency Using Local Volume Consolidation. Zurich Open Repository and Archive (University of Zurich). 1 indexed citations
4.
Delmerico, Jeffrey, Titus Cieslewski, Henri Rebecq, Matthias Faessler, & Davide Scaramuzza. (2019). Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset. Zurich Open Repository and Archive (University of Zurich). 6713–6719. 139 indexed citations
5.
Moon, Hyungpil, José Martínez-Carranza, Titus Cieslewski, et al.. (2019). Challenges and implemented technologies used in autonomous drone racing. Intelligent Service Robotics. 12(2). 137–148. 73 indexed citations
6.
Cieslewski, Titus, Michael Bloesch, & Davide Scaramuzza. (2018). Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs).. arXiv (Cornell University). 32. 3 indexed citations
7.
Cieslewski, Titus & Davide Scaramuzza. (2018). SIPS: Unsupervised Succinct Interest Points.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations
8.
Cieslewski, Titus, et al.. (2017). Dynamic collaboration without communication: Vision-based cable-suspended load transport with two quadrotors. Zurich Open Repository and Archive (University of Zurich). 5196–5202. 96 indexed citations
9.
Cieslewski, Titus, Elia Kaufmann, & Davide Scaramuzza. (2017). Rapid exploration with multi-rotors: A frontier selection method for high speed flight. Zurich Open Repository and Archive (University of Zurich). 2135–2142. 148 indexed citations
10.
Cieslewski, Titus & Davide Scaramuzza. (2017). Efficient Decentralized Visual Place Recognition Using a Distributed Inverted Index. IEEE Robotics and Automation Letters. 2(2). 640–647. 23 indexed citations
11.
Ye, Yawei, Titus Cieslewski, Antonio Loquercio, & Davide Scaramuzza. (2017). Place recognition in semi-dense maps: Geometric and learning-based approaches. Zurich Open Repository and Archive (University of Zurich). 1–8. 6 indexed citations
12.
Ye, Yawei, Titus Cieslewski, Antonio Loquercio, & Davide Scaramuzza. (2017). Place Recognition in Semi-Dense Maps. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
13.
Cieslewski, Titus, et al.. (2016). Robustness to connectivity loss for collaborative mapping. 4580–4585. 2 indexed citations
14.
Gawel, Abel, et al.. (2016). Structure-based vision-laser matching. 182–188. 32 indexed citations
15.
Cieslewski, Titus, et al.. (2016). Point cloud descriptors for place recognition using sparse visual information. 4830–4836. 28 indexed citations
16.
Cieslewski, Titus, Simon Lynen, Marcin Dymczyk, Stéphane Magnenat, & Roland Siegwart. (2015). Map API - Scalable Decentralized Map Building for Robots. Repository for Publications and Research Data (ETH Zurich). 26 indexed citations
17.
Dymczyk, Marcin, Simon Lynen, Titus Cieslewski, et al.. (2015). The gist of maps - summarizing experience for lifelong localization. 50 indexed citations
18.
Cieslewski, Titus, Simon Lynen, Marcin Dymczyk, Stéphane Magnenat, & Roland Siegwart. (2015). Map API - scalable decentralized map building for robots. 6241–6247. 27 indexed citations
19.
Auerbach, Joshua E., Deniz Aydın, Przemyslaw Kornatowski, et al.. (2014). RoboGen: Robot Generation through Artificial Evolution. 136–137. 10 indexed citations
20.
Auerbach, Joshua E., Deniz Aydın, Przemyslaw Kornatowski, et al.. (2014). RoboGen: Robot Generation through Artificial Evolution. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 136–137. 44 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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