Alex Teichman

2.0k total citations · 1 hit paper
11 papers, 1.3k citations indexed

About

Alex Teichman is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Alex Teichman has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Alex Teichman's work include Robotics and Sensor-Based Localization (6 papers), Video Surveillance and Tracking Methods (5 papers) and Machine Learning and Algorithms (2 papers). Alex Teichman is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Video Surveillance and Tracking Methods (5 papers) and Machine Learning and Algorithms (2 papers). Alex Teichman collaborates with scholars based in United States, Germany and France. Alex Teichman's co-authors include Sebastian Thrun, Jesse Levinson, Jan Becker, Moritz Werling, Soeren Kammel, Oliver Pink, David Held, Dirk Langer, Jennifer Dolson and J. Zico Kolter and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Automation Science and Engineering and International Joint Conference on Artificial Intelligence.

In The Last Decade

Alex Teichman

11 papers receiving 1.3k citations

Hit Papers

Towards fully autonomous driving: Systems and algorithms 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Teichman United States 10 639 481 316 229 214 11 1.3k
Dirk Langer United States 11 674 1.1× 569 1.2× 365 1.2× 221 1.0× 279 1.3× 23 1.4k
Soeren Kammel Germany 8 505 0.8× 426 0.9× 226 0.7× 174 0.8× 209 1.0× 13 1.1k
David Stavens United States 8 686 1.1× 529 1.1× 441 1.4× 227 1.0× 200 0.9× 9 1.5k
Oliver Pink Germany 8 680 1.1× 670 1.4× 458 1.4× 212 0.9× 248 1.2× 10 1.5k
Jacob Lambert Japan 6 506 0.8× 530 1.1× 246 0.8× 216 0.9× 184 0.9× 8 1.2k
Jennifer Dolson United States 8 883 1.4× 467 1.0× 270 0.9× 181 0.8× 186 0.9× 12 1.5k
Jan Becker Germany 4 405 0.6× 411 0.9× 184 0.6× 167 0.7× 204 1.0× 6 948
Seiichi Mita Japan 21 1.1k 1.7× 668 1.4× 416 1.3× 180 0.8× 226 1.1× 124 1.7k
Ekim Yurtsever United States 10 667 1.0× 677 1.4× 200 0.6× 314 1.4× 217 1.0× 25 1.5k
Chieh‐Chih Wang Taiwan 17 957 1.5× 291 0.6× 1.0k 3.2× 339 1.5× 156 0.7× 64 1.6k

Countries citing papers authored by Alex Teichman

Since Specialization
Citations

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

Fields of papers citing papers by Alex Teichman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Teichman

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

All Works

11 of 11 papers shown
1.
Teichman, Alex & Sebastian Thrun. (2013). Group induction. 2757–2763. 3 indexed citations
2.
Teichman, Alex, et al.. (2013). Learning to Segment and Track in RGBD. IEEE Transactions on Automation Science and Engineering. 10(4). 841–852. 19 indexed citations
3.
Miller, Stephen D., Alex Teichman, & Sebastian Thrun. (2013). Unsupervised extrinsic calibration of depth sensors in dynamic scenes. Zenodo (CERN European Organization for Nuclear Research). 20. 2695–2702. 19 indexed citations
4.
Teichman, Alex, Stephen D. Miller, & Sebastian Thrun. (2013). Unsupervised Intrinsic Calibration of Depth Sensors via SLAM. 50 indexed citations
5.
Teichman, Alex & Sebastian Thrun. (2012). Tracking-based semi-supervised learning. The International Journal of Robotics Research. 31(7). 804–818. 37 indexed citations
6.
Levinson, Jesse, Jan Becker, Jennifer Dolson, et al.. (2011). Towards fully autonomous driving: Systems and algorithms. 163–168. 901 indexed citations breakdown →
7.
Teichman, Alex, Jesse Levinson, & Sebastian Thrun. (2011). Towards 3D object recognition via classification of arbitrary object tracks. 4034–4041. 130 indexed citations
8.
Teichman, Alex & Sebastian Thrun. (2011). Tracking-Based Semi-Supervised Learning. 13 indexed citations
9.
Teichman, Alex & Sebastian Thrun. (2011). Practical object recognition in autonomous driving and beyond. 35–38. 28 indexed citations
10.
Lee, Honglak, Rajat Raina, Alex Teichman, & Andrew Y. Ng. (2009). Exponential family sparse coding with applications to self-taught learning. International Joint Conference on Artificial Intelligence. 1113–1119. 47 indexed citations
11.
Park, Michael, Sachin Chitta, Alex Teichman, & Mark Yim. (2008). Automatic Configuration Recognition Methods in Modular Robots. The International Journal of Robotics Research. 27(3-4). 403–421. 80 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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