Jens Klappstein

1.6k total citations
39 papers, 1.1k citations indexed

About

Jens Klappstein is a scholar working on Aerospace Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Jens Klappstein has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Aerospace Engineering, 15 papers in Artificial Intelligence and 12 papers in Automotive Engineering. Recurrent topics in Jens Klappstein's work include Target Tracking and Data Fusion in Sensor Networks (15 papers), Robotics and Sensor-Based Localization (13 papers) and Autonomous Vehicle Technology and Safety (12 papers). Jens Klappstein is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (15 papers), Robotics and Sensor-Based Localization (13 papers) and Autonomous Vehicle Technology and Safety (12 papers). Jens Klappstein collaborates with scholars based in Germany, United States and United Kingdom. Jens Klappstein's co-authors include Klaus Dietmayer, Dominik Kellner, Jürgen Dickmann, Michael Barjenbruch, Juergen Dickmann, Markus Hahn, Nils Appenrodt, Alfons Sailer, Christian Waldschmidt and Carsten Brenk and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Machine Vision and Applications.

In The Last Decade

Jens Klappstein

39 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Klappstein Germany 17 798 324 309 236 227 39 1.1k
Markus Hahn Germany 20 787 1.0× 224 0.7× 252 0.8× 262 1.1× 352 1.6× 44 1.2k
Nils Appenrodt Germany 15 537 0.7× 179 0.6× 207 0.7× 169 0.7× 181 0.8× 41 848
Dominik Kellner Germany 12 463 0.6× 241 0.7× 174 0.6× 105 0.4× 119 0.5× 17 630
Michael Barjenbruch Germany 12 463 0.6× 194 0.6× 180 0.6× 95 0.4× 111 0.5× 17 580
Marc-Michael Meinecke Germany 16 403 0.5× 106 0.3× 163 0.5× 222 0.9× 435 1.9× 50 869
Christian Lundquist Sweden 18 531 0.7× 937 2.9× 236 0.8× 156 0.7× 165 0.7× 36 1.3k
Igal Bilik Israel 18 811 1.0× 323 1.0× 360 1.2× 59 0.3× 79 0.3× 74 1.4k
Seongwook Lee South Korea 16 617 0.8× 108 0.3× 285 0.9× 49 0.2× 88 0.4× 105 949
Sujeet Patole United States 5 606 0.8× 90 0.3× 313 1.0× 57 0.2× 60 0.3× 7 857
Steve Scheding Australia 15 354 0.4× 175 0.5× 146 0.5× 86 0.4× 226 1.0× 41 760

Countries citing papers authored by Jens Klappstein

Since Specialization
Citations

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

Fields of papers citing papers by Jens Klappstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Klappstein

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Klappstein. A scholar is included among the top collaborators of Jens Klappstein 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 Jens Klappstein. Jens Klappstein 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.
Klappstein, Jens, et al.. (2016). Point group associations for radar-based vehicle self-localization. 1638–1646. 4 indexed citations
3.
Kellner, Dominik, Michael Barjenbruch, Klaus Dietmayer, Jens Klappstein, & Juergen Dickmann. (2015). Joint radar alignment and odometry calibration. International Conference on Information Fusion. 366–374. 11 indexed citations
4.
Barjenbruch, Michael, Dominik Kellner, Jens Klappstein, Juergen Dickmann, & Klaus Dietmayer. (2015). Joint spatial- and Doppler-based ego-motion estimation for automotive radars. 839–844. 39 indexed citations
5.
Dickmann, Juergen, Jens Klappstein, Markus Hahn, et al.. (2015). "Present research activities and future requirements on automotive radar from a car manufacturer´s point of view". 56. 1–4. 10 indexed citations
6.
Roos, Fabian, Dominik Kellner, Jens Klappstein, et al.. (2015). Estimation of the orientation of vehicles in high-resolution radar images. OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University). 1–4. 14 indexed citations
7.
Dickmann, Juergen, Nils Appenrodt, Jens Klappstein, et al.. (2015). Making Bertha See Even More: Radar Contribution. IEEE Access. 3. 1233–1247. 49 indexed citations
8.
Kellner, Dominik, Michael Barjenbruch, Jens Klappstein, Jürgen Dickmann, & Klaus Dietmayer. (2015). Tracking of Extended Objects with High-Resolution Doppler Radar. IEEE Transactions on Intelligent Transportation Systems. 17(5). 1341–1353. 50 indexed citations
9.
Barjenbruch, Michael, et al.. (2015). RoughCough — A new image registration method for radar based vehicle self-localization. 1533–1541. 5 indexed citations
10.
Barjenbruch, Michael, et al.. (2015). Memory efficient spectral estimation on parallel computing architectures. 1. 337–340. 1 indexed citations
11.
Dickmann, Juergen, Nils Appenrodt, Carsten Brenk, et al.. (2014). Radar contribution to highly automated driving. 1715–1718. 29 indexed citations
12.
Kellner, Dominik, Michael Barjenbruch, Jens Klappstein, Jürgen Dickmann, & Klaus Dietmayer. (2014). Instantaneous full-motion estimation of arbitrary objects using dual Doppler radar. 324–329. 37 indexed citations
13.
Kellner, Dominik, Michael Barjenbruch, Klaus Dietmayer, Jens Klappstein, & Jürgen Dickmann. (2013). Instantaneous lateral velocity estimation of a vehicle using Doppler radar. International Conference on Information Fusion. 877–884. 31 indexed citations
14.
Kellner, Dominik, Michael Barjenbruch, Jens Klappstein, Jürgen Dickmann, & Klaus Dietmayer. (2013). Instantaneous ego-motion estimation using Doppler radar. 869–874. 134 indexed citations
15.
Hosseini, Amin, et al.. (2012). Modification of the landweber method based on the conjugate gradient method to restore automotive radar images. International Conference on Systems, Signals and Image Processing. 544–547. 2 indexed citations
16.
Dickmann, Juergen, et al.. (2012). Automotive radar — “quo vadis?”. European Radar Conference. 18–21. 4 indexed citations
17.
Klappstein, Jens, et al.. (2011). An Adaption of the Lucy-Richardson Deconvolution Algorithm to Noncentral Chi-Square Distributed Data. Machine Vision and Applications. 389–392. 3 indexed citations
18.
Klappstein, Jens, et al.. (2011). Evaluation of different quality functions for road course estimation using imaging radar. 4. 882–887. 10 indexed citations
19.
Klappstein, Jens, Fridtjof Stein, & Uwe Franke. (2007). Applying Kalman Filtering to Road Homography Estimation. HAL (Le Centre pour la Communication Scientifique Directe). 31(1). 390–408. 7 indexed citations
20.
Klappstein, Jens, Fridtjof Stein, & Uwe Franke. (2006). Monocular Motion Detection Using Spatial Constraints in a Unified Manner. 261–267. 19 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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