Daniel Meißner

641 total citations
30 papers, 453 citations indexed

About

Daniel Meißner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Daniel Meißner has authored 30 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Automotive Engineering. Recurrent topics in Daniel Meißner's work include Target Tracking and Data Fusion in Sensor Networks (16 papers), Autonomous Vehicle Technology and Safety (10 papers) and Video Surveillance and Tracking Methods (8 papers). Daniel Meißner is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (16 papers), Autonomous Vehicle Technology and Safety (10 papers) and Video Surveillance and Tracking Methods (8 papers). Daniel Meißner collaborates with scholars based in Germany, Sweden and Australia. Daniel Meißner's co-authors include Klaus Dietmayer, Stephan Reuter, Hans‐Joachim Wuensche, M. Michaelis, Alexander Scheel, Karl Granström, Thorsten Luettel, Michael Goldhammer, Konrad Doll and U. Brunsmann and has published in prestigious journals such as Solar Energy Materials and Solar Cells, IEEE Robotics and Automation Letters and IEEE Intelligent Transportation Systems Magazine.

In The Last Decade

Daniel Meißner

29 papers receiving 435 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 Meißner Germany 12 216 147 136 97 73 30 453
Zhenchao Ouyang China 12 71 0.3× 199 1.4× 106 0.8× 53 0.5× 66 0.9× 39 423
Denis Pomorski France 8 152 0.7× 93 0.6× 66 0.5× 224 2.3× 97 1.3× 20 397
Thomas Brandmeier Germany 12 65 0.3× 112 0.8× 203 1.5× 131 1.4× 90 1.2× 59 490
Qimin Xu China 12 188 0.9× 157 1.1× 95 0.7× 288 3.0× 154 2.1× 38 544
Yifan Zhu China 7 57 0.3× 97 0.7× 109 0.8× 85 0.9× 88 1.2× 13 363
Hyunggi Cho United States 7 73 0.3× 298 2.0× 179 1.3× 134 1.4× 84 1.2× 7 487
R. Omar Chavéz-García Switzerland 5 85 0.4× 194 1.3× 100 0.7× 133 1.4× 47 0.6× 9 352
Martin Kunert Germany 14 99 0.5× 91 0.6× 131 1.0× 261 2.7× 121 1.7× 40 524
Gijs Dubbelman Netherlands 13 105 0.5× 370 2.5× 126 0.9× 220 2.3× 102 1.4× 61 533

Countries citing papers authored by Daniel Meißner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Meißner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Meißner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Meißner. A scholar is included among the top collaborators of Daniel Meißner 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 Meißner. Daniel Meißner 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.
2.
Kopp, Johannes, et al.. (2024). Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions. IEEE Robotics and Automation Letters. 9(6). 5575–5582. 4 indexed citations
3.
Kopp, Johannes, et al.. (2023). Energy-Based Detection of Adverse Weather Effects in LiDAR Data. IEEE Robotics and Automation Letters. 8(7). 4322–4329. 10 indexed citations
4.
Michaelis, M., et al.. (2020). Deriving Spatial Occupancy Evidence from Radar Detection Data. 3 indexed citations
5.
Michaelis, M., et al.. (2020). A Continuous Probabilistic Origin Association Filter for Extended Object Tracking. 29. 323–329. 2 indexed citations
6.
Michaelis, M., et al.. (2019). A Merging Strategy for Gaussian Process Extended Target Estimates in Multi-Sensor Applications. 1803–1808. 5 indexed citations
7.
Michaelis, M., et al.. (2018). An Abstracted Radar Measurement Model for Extended Object Tracking. 3866–3872. 12 indexed citations
8.
Michaelis, M., et al.. (2017). Radar reflection characteristics of vehicles for contour and feature estimation. 1–6. 25 indexed citations
9.
Granström, Karl, Stephan Reuter, Daniel Meißner, & Alexander Scheel. (2014). A multiple model PHD approach to tracking of cars under an assumed rectangular shape. International Conference on Information Fusion. 1–8. 57 indexed citations
10.
Scheel, Alexander, Karl Granström, Daniel Meißner, Stephan Reuter, & Klaus Dietmayer. (2014). Tracking and data segmentation using a GGIW filter with mixture clustering. International Conference on Information Fusion. 1–8. 14 indexed citations
11.
Meißner, Daniel, et al.. (2014). The Ko-PER intersection laserscanner and video dataset. 1900–1901. 60 indexed citations
12.
Meißner, Daniel, et al.. (2014). Intersection-Based Road User Tracking Using a Classifying Multiple-Model PHD Filter. IEEE Intelligent Transportation Systems Magazine. 6(2). 21–33. 24 indexed citations
13.
Meißner, Daniel, et al.. (2013). Road user tracking using a Dempster-Shafer based classifying multiple-model PHD filter. International Conference on Information Fusion. 1236–1242. 7 indexed citations
14.
Reuter, Stephan, et al.. (2013). Cardinality balanced multi-target multi-Bernoulli filtering using adaptive birth distributions. International Conference on Information Fusion. 1608–1615. 15 indexed citations
15.
Meißner, Daniel, Stephan Reuter, & Klaus Dietmayer. (2013). Road user tracking at intersections using a multiple-model PHD filter. 377–382. 25 indexed citations
16.
Meißner, Daniel, et al.. (2013). Vehicle detection and tracking at intersections by fusing multiple camera views. 882–887. 11 indexed citations
17.
Meißner, Daniel, et al.. (2012). Ideal Combination of Wire Diameter and SiC-Grain Size in the Multi Wire Sawing Process. EU PVSEC. 1076–1079. 2 indexed citations
18.
Reuter, Stephan, Daniel Meißner, & Klaus Dietmayer. (2012). Multi-object tracking at intersections using the cardinalized probability hypothesis density filter. 1172–1177. 7 indexed citations
19.
Meißner, Daniel, Stephan Reuter, & Klaus Dietmayer. (2012). Real-time detection and tracking of pedestrians at intersections using a network of laserscanners. 1. 630–635. 21 indexed citations
20.
Meißner, Daniel & Klaus Dietmayer. (2010). Simulation and calibration of infrastructure based laser scanner networks at intersections. 670–675. 8 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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