Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Experiences with an interactive museum tour-guide robot
1999590 citationsWolfram Burgard, Armin B. Cremers et al.Artificial Intelligenceprofile →
Bayesian filtering for location estimation
2003519 citationsD. Fox, Jeffrey Hightower et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Dirk Schulz'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 Dirk Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Schulz more than expected).
This network shows the impact of papers produced by Dirk Schulz. 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 Dirk Schulz. The network helps show where Dirk Schulz may publish in the future.
Co-authorship network of co-authors of Dirk Schulz
This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Schulz.
A scholar is included among the top collaborators of Dirk Schulz 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 Dirk Schulz. Dirk Schulz 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.
Schulz, Dirk, et al.. (2016). Sequential distance dependent Chinese Restaurant Processes for motion segmentation of 3D LIDAR data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 758–765.1 indexed citations
2.
Schulz, Dirk, et al.. (2015). Monte Carlo based distance dependent Chinese restaurant process for segmentation of 3D LIDAR data using motion and spatial features. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 112–118.1 indexed citations
Frintrop, Simone, et al.. (2009). Visual Person Tracking Using a Cognitive Observation Model. Nursing times. 71(45). 1780–1.5 indexed citations
10.
Schulz, Dirk, et al.. (2008). Data fusion for person identification in people tracking. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8.1 indexed citations
Schulz, Dirk, Dieter Fox, & Jeffrey Hightower. (2003). People tracking with anonymous and ID-sensors using Rao-Blackwellised particle filters. International Joint Conference on Artificial Intelligence. 921–926.100 indexed citations
Schulz, Dirk, Wolfram Burgard, & Armin B. Cremers. (2000). State Estimation Techniques for 3D Visualizations of Web-based Tele-operated Mobile Robots.. FreiDok plus (Universitätsbibliothek Freiburg). 14. 16–22.1 indexed citations
Trahanias, Panos, Antonis Argyros, Dimitris P. Tsakiris, et al.. (2000). TOURBOT - Interactive Museum Telepresence Through Robotic Avatars Project Presentation and Prospects. DSpace - NTUA (National Technical University of Athens).2 indexed citations
18.
Burgard, Wolfram, Armin B. Cremers, Dieter Fox, et al.. (1999). Experiences with an interactive museum tour-guide robot. Artificial Intelligence. 114(1-2). 3–55.590 indexed citations breakdown →
19.
Burgard, Wolfram, Armin B. Cremers, Dieter Fox, et al.. (1998). The interactive museum tour-guide robot. RWTH Publications (RWTH Aachen). 11–18.341 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.