Marius Fehr

744 total citations
10 papers, 320 citations indexed

About

Marius Fehr is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Marius Fehr has authored 10 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Marius Fehr's work include Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Marius Fehr is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Marius Fehr collaborates with scholars based in Switzerland, United States and Germany. Marius Fehr's co-authors include Roland Siegwart, Igor Gilitschenski, Thomas Schneider, Marcin Dymczyk, Simon Lynen, César Cadena, Juan Nieto, Fadri Furrer, Ivan Dryanovski and Jürgen Sturm and has published in prestigious journals such as SHILAP Revista de lepidopterología, The International Journal of Robotics Research and IEEE Robotics and Automation Letters.

In The Last Decade

Marius Fehr

10 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marius Fehr Switzerland	6	274	222	77	74	29	10	320
Ming Hsiao United States	9	251 0.9×	170 0.8×	92 1.2×	70 0.9×	32 1.1×	13	312
A. Barros Brazil	3	197 0.7×	149 0.7×	59 0.8×	58 0.8×	22 0.8×	3	256
Yoann Moline France	4	201 0.7×	149 0.7×	59 0.8×	51 0.7×	22 0.8×	11	274
Thomas Lemaire France	5	368 1.3×	316 1.4×	77 1.0×	102 1.4×	24 0.8×	7	412
Ian Baldwin United Kingdom	4	304 1.1×	241 1.1×	62 0.8×	60 0.8×	61 2.1×	5	380
Colin McManus United Kingdom	10	316 1.2×	308 1.4×	53 0.7×	87 1.2×	35 1.2×	15	370
András Majdik Romania	7	221 0.8×	185 0.8×	68 0.9×	58 0.8×	52 1.8×	23	291
Shichao Yang China	7	205 0.7×	180 0.8×	67 0.9×	34 0.5×	32 1.1×	10	271
Il-Kyun Jung France	8	353 1.3×	285 1.3×	59 0.8×	57 0.8×	16 0.6×	10	405
Jesús Briales Spain	8	283 1.0×	250 1.1×	82 1.1×	33 0.4×	23 0.8×	10	330

Countries citing papers authored by Marius Fehr

Since Specialization

Citations

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

Fields of papers citing papers by Marius Fehr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marius Fehr

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Fehr. A scholar is included among the top collaborators of Marius Fehr 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 Marius Fehr. Marius Fehr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Furrer, Fadri, et al.. (2023). Modelify: An approach to incrementally build 3D object models for map completion. The International Journal of Robotics Research. 42(3). 45–65. 1 indexed citations

Cramariuc, Andrei, Lukas Bernreiter, Florian Tschopp, et al.. (2022). maplab 2.0 – A Modular and Multi-Modal Mapping Framework. IEEE Robotics and Automation Letters. 8(2). 520–527. 36 indexed citations

Fehr, Marius, et al.. (2020). Hybrid Topological and 3D Dense Mapping through Autonomous Exploration for Large Indoor Environments. 9673–9679. 25 indexed citations

Tschopp, Florian, Marius Fehr, Lukas Bernreiter, et al.. (2020). VersaVIS—an open versatile multi-camera visual-inertial sensor suite. Repository for Publications and Research Data (ETH Zurich). 9 indexed citations

Schneider, Thomas, Marcin Dymczyk, Marius Fehr, et al.. (2018). Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization. IEEE Robotics and Automation Letters. 3(3). 1418–1425. 175 indexed citations

Furrer, Fadri, Marius Fehr, Abel Gawel, et al.. (2018). Incremental Object Database: Building 3D Models from Multiple Partial Observations. Repository for Publications and Research Data (ETH Zurich). 11 indexed citations

Fehr, Marius, Thomas Schneider, & Roland Siegwart. (2018). Visual-Inertial Teach and Repeat Powered by Google Tango. 1–9. 5 indexed citations

Fehr, Marius, et al.. (2018). ACCURATE VISUAL LOCALIZATION IN OUTDOOR AND INDOOR ENVIRONMENTS EXPLOITING 3D IMAGE SPACES AS SPATIAL REFERENCE. SHILAP Revista de lepidopterología. XLII-1. 355–362. 3 indexed citations

Fehr, Marius, Fadri Furrer, Ivan Dryanovski, et al.. (2017). TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery. Repository for Publications and Research Data (ETH Zurich). 5237–5244. 51 indexed citations

10.

Fehr, Marius, Marcin Dymczyk, Simon Lynen, & Roland Siegwart. (2016). Reshaping our model of the world over time. 2449–2455. 4 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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