T. Graf

2.6k total citations · 1 hit paper
45 papers, 1.9k citations indexed

About

T. Graf is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, T. Graf has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 19 papers in Automotive Engineering and 9 papers in Aerospace Engineering. Recurrent topics in T. Graf's work include Advanced Vision and Imaging (22 papers), Autonomous Vehicle Technology and Safety (19 papers) and Video Surveillance and Tracking Methods (15 papers). T. Graf is often cited by papers focused on Advanced Vision and Imaging (22 papers), Autonomous Vehicle Technology and Safety (19 papers) and Video Surveillance and Tracking Methods (15 papers). T. Graf collaborates with scholars based in Germany, United States and Romania. T. Graf's co-authors include Antonio M. López, David Gerónimo, Ángel D. Sappa, Marc-Michael Meinecke, Sergiu Nedevschi, Alberto Broggi, Tiberiu Mariţa, Radu Dănescu, Florin Oniga and Rolf Schmidt and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Vehicular Technology and Human Brain Mapping.

In The Last Decade

T. Graf

43 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

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.

Survey of Pedestrian Detection for Advanced Driver Assistance Systems

2009 680 citations David Gerónimo, Antonio M. López et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Graf Germany	21	1.4k	723	335	196	189	45	1.9k
A. Fascioli Italy	21	1.6k 1.1×	1.1k 1.6×	341 1.0×	215 1.1×	190 1.0×	40	2.0k
Dan Levi Israel	13	1.1k 0.8×	716 1.0×	192 0.6×	99 0.5×	166 0.9×	20	1.6k
Pietro Cerri Italy	21	881 0.6×	703 1.0×	297 0.9×	257 1.3×	166 0.9×	32	1.4k
Eduardo Romera Spain	18	1.5k 1.0×	376 0.5×	407 1.2×	134 0.7×	394 2.1×	27	2.0k
Ho Gi Jung South Korea	22	1.1k 0.7×	595 0.8×	416 1.2×	278 1.4×	124 0.7×	92	1.8k
Ernst D. Dickmanns Germany	23	1.7k 1.2×	1.3k 1.8×	801 2.4×	222 1.1×	364 1.9×	80	2.5k
Seiichi Mita Japan	21	1.1k 0.7×	668 0.9×	416 1.2×	206 1.1×	180 1.0×	124	1.7k
Sayanan Sivaraman United States	16	1.2k 0.8×	940 1.3×	163 0.5×	193 1.0×	247 1.3×	19	1.7k
Hongkai Yu United States	22	1.3k 0.9×	383 0.5×	196 0.6×	137 0.7×	438 2.3×	85	1.9k
Christoph Mertz United States	17	826 0.6×	379 0.5×	306 0.9×	79 0.4×	222 1.2×	45	1.8k

Countries citing papers authored by T. Graf

Since Specialization

Citations

This map shows the geographic impact of T. Graf'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 T. Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Graf more than expected).

Fields of papers citing papers by T. Graf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Graf

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Graf, T., et al.. (2013). Improved object tracking from detailed shape estimation using object local grid maps with stereo. 330–335. 8 indexed citations

2.

López, Antonio M., Joan Serrat, C. Cañero, Felipe Lumbreras, & T. Graf. (2010). Robust lane markings detection and road geometry computation. International Journal of Automotive Technology. 11(3). 395–407. 65 indexed citations

3.

Graf, T., et al.. (2010). Schnelle Berechnung von detaillierten Belegungsgittern aus dichten Stereodisparitätsbildern. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 2 indexed citations

4.

Gerónimo, David, Antonio M. López, Ángel D. Sappa, & T. Graf. (2009). Survey of Pedestrian Detection for Advanced Driver Assistance Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(7). 1239–1258. 680 indexed citations breakdown →

5.

Graf, T., et al.. (2008). Color image segmentation in HSI space for automotive applications. Journal of Real-Time Image Processing. 3(4). 311–322. 74 indexed citations

6.

Dănescu, Radu, Sergiu Nedevschi, Marc-Michael Meinecke, & T. Graf. (2007). Stereovision Based Vehicle Tracking in Urban Traffic Environments. 400–404. 23 indexed citations

7.

Broggi, Alberto, et al.. (2006). Pedestrian Detection on a Moving Vehicle: an Investigation about Near Infra-Red Images. 431–436. 21 indexed citations

8.

Broggi, Alberto, A. Fascioli, Paolo Grisleri, T. Graf, & Marc-Michael Meinecke. (2006). Model-based validation approaches and matching techniques for automotive vision based pedestrian detection. 3. 1–1. 28 indexed citations

9.

Nedevschi, Sergiu, et al.. (2006). On-line calibration method for stereovision systems used in vehicle applications. 2592. 957–962. 7 indexed citations

10.

Graf, T., et al.. (2005). Advanced Night Vision Systems Concepts. 3 indexed citations

11.

Ponsa, Daniel, Antonio M. López, Felipe Lumbreras, Joan Serrat, & T. Graf. (2005). 3D vehicle sensor based on monocular vision. 1096–1101. 47 indexed citations

12.

Nedevschi, Sergiu, Rolf Schmidt, T. Graf, et al.. (2005). 3D lane detection system based on stereovision. 161–166. 118 indexed citations

13.

López, Antonio M., C. Cañero, Joan Serrat, et al.. (2005). Detection of lane markings based on ridgeness and RANSAC. 733–738. 29 indexed citations

14.

Nedevschi, Sergiu, Radu Dănescu, Tiberiu Mariţa, et al.. (2004). High Accuracy Stereovision Approach for Obstacle Detection on Non-Planar Roads. 17(3). 105–7. 43 indexed citations

15.

Nedevschi, Sergiu, Radu Dănescu, Tiberiu Mariţa, et al.. (2004). STEREOVISION APPROACH FOR OBSTACLE DETECTION ON NON-PLANAR ROADS. 11–18. 1 indexed citations

16.

Bertozzi, Massimo, Alberto Broggi, Paolo Grisleri, T. Graf, & Marc-Michael Meinecke. (2004). Pedestrian detection in infrared images. 662–667. 81 indexed citations

17.

Graf, T., et al.. (2004). Extracting road features from color images using a cognitive approach. 298–303. 24 indexed citations

18.

Posse, Stefan, Ferdinand Binkofski, Frank Schneider, et al.. (2000). A new approach to measure single-event related brain activity using real-time fMRI: Feasibility of sensory, motor, and higher cognitive tasks. Human Brain Mapping. 12(1). 25–41. 65 indexed citations

19.

Graf, T. & Klaus Hinrichs. (1994). Distribution Algorithms for the all-nearest-foreign-neighbors Problem in Arbitrary L t -metrics.. Canadian Conference on Computational Geometry. 9(24). 69–74.

20.

Hinrichs, Klaus & T. Graf. (1993). Algorithms for Proximity Problems on Colored Point Sets.. Canadian Conference on Computational Geometry. 420–425. 4 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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