Daniel Meyer-Delius

529 total citations
10 papers, 301 citations indexed

About

Daniel Meyer-Delius is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Daniel Meyer-Delius has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Daniel Meyer-Delius's work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (5 papers) and Data Management and Algorithms (3 papers). Daniel Meyer-Delius is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (5 papers) and Data Management and Algorithms (3 papers). Daniel Meyer-Delius collaborates with scholars based in Germany and United States. Daniel Meyer-Delius's co-authors include Wolfram Burgard, Gian Diego Tipaldi, Christian Plagemann, Alexander Kleiner, Giorgio Grisetti, Jürgen Sturm and Patrick Pfaff and has published in prestigious journals such as The International Journal of Robotics Research, Robotics and Autonomous Systems and IRIS Research product catalog (Sapienza University of Rome).

In The Last Decade

Daniel Meyer-Delius

10 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Meyer-Delius Germany 8 178 143 80 71 61 10 301
Véronique Cherfaoui France 11 108 0.6× 145 1.0× 94 1.2× 65 0.9× 111 1.8× 29 327
Favio R. Masson Argentina 8 134 0.8× 121 0.8× 48 0.6× 76 1.1× 33 0.5× 31 273
Ángel Llamazares Spain 12 121 0.7× 172 1.2× 37 0.5× 77 1.1× 74 1.2× 26 313
Cindy Cappelle France 12 188 1.1× 147 1.0× 67 0.8× 85 1.2× 64 1.0× 28 366
Augusto Luis Ballardini Italy 9 89 0.5× 110 0.8× 34 0.4× 75 1.1× 65 1.1× 18 254
Norman Mattern Germany 11 158 0.9× 106 0.7× 91 1.1× 107 1.5× 160 2.6× 20 336
Maan E. El Najjar France 8 145 0.8× 76 0.5× 120 1.5× 114 1.6× 43 0.7× 18 346
Zhixiong Ma China 7 138 0.8× 118 0.8× 35 0.4× 61 0.9× 55 0.9× 23 312
Fabian Poggenhans Germany 8 160 0.9× 198 1.4× 31 0.4× 57 0.8× 212 3.5× 11 400
D. Pagac Australia 8 130 0.7× 122 0.9× 50 0.6× 46 0.6× 30 0.5× 10 322

Countries citing papers authored by Daniel Meyer-Delius

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Meyer-Delius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Meyer-Delius. 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 Daniel Meyer-Delius. The network helps show where Daniel Meyer-Delius may publish in the future.

Co-authorship network of co-authors of Daniel Meyer-Delius

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

All Works

10 of 10 papers shown
1.
Meyer-Delius, Daniel, et al.. (2021). Occupancy Grid Models for Robot Mapping in Changing Environments. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 2024–2030. 33 indexed citations
2.
Tipaldi, Gian Diego, Daniel Meyer-Delius, & Wolfram Burgard. (2013). Lifelong localization in changing environments. The International Journal of Robotics Research. 32(14). 1662–1678. 90 indexed citations
3.
Meyer-Delius, Daniel, et al.. (2013). Probabilistic time-dependent models for mobile robot path planning in changing environments. 123. 5545–5550. 3 indexed citations
4.
Kleiner, Alexander, et al.. (2011). ARMO: Adaptive road map optimization for large robot teams. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3276–3282. 5 indexed citations
5.
Kleiner, Alexander, et al.. (2011). ARMO: Adaptive road map optimization for large robot teams. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 22 indexed citations
6.
Meyer-Delius, Daniel, et al.. (2011). Using artificial landmarks to reduce the ambiguity in the environment of a mobile robot. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5173–5178. 25 indexed citations
7.
Meyer-Delius, Daniel, et al.. (2010). Temporary maps for robust localization in semi-static environments. IRIS Research product catalog (Sapienza University of Rome). 5750–5755. 48 indexed citations
8.
Meyer-Delius, Daniel & Wolfram Burgard. (2009). Maximum-likelihood sample-based maps for mobile robots. Robotics and Autonomous Systems. 58(2). 133–139. 9 indexed citations
9.
Meyer-Delius, Daniel, Jürgen Sturm, & Wolfram Burgard. (2009). Regression-based online situation recognition for vehicular traffic scenarios. 26. 1711–1716. 8 indexed citations
10.
Meyer-Delius, Daniel, Christian Plagemann, & Wolfram Burgard. (2009). Probabilistic situation recognition for vehicular traffic scenarios. 459–464. 58 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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