T. Graf

2.6k citations
45 papers · 1.9k indexed · 1 hit paper · h-index 21

Impact in

Papers in

T. Graf

43 papers receiving 1.7k citations

Hit Papers

Survey of Pedestrian Detection for Advanced Driver Assistance Systems 2009 · 680 citations
6802009202620142020200400600

Peers

T. Graf
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 1.4k
  • Automotive Engineering 723
  • Media Technology 134
  • Safety, Risk, Reliability and Quality 130
  • Aerospace Engineering 335
Replace A. Fascioli with:
A. Fascioli Italy
Seiichi Mita Japan
Sayanan Sivaraman United States
Pietro Cerri Italy
Eduardo Romera Spain
Dan Levi Israel
Ernst D. Dickmanns Germany
Ho Gi Jung South Korea
Abdelaziz Bensrhair France
Hongkai Yu United States
T. Graf relative to A. Fascioli Italy A. Fascioli's profile →
Citations per field
00.5×1.5×
A. Fascioli · 1×
Citations per year

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-authors

The 25 scholars most cited alongside T. Graf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Graf Line = papers co-authored together T. Graf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Survey of Pedestrian Detection for Advanced Driver Assistance Systems
Hit paper breakdown →
2009680
2 2005118
3 2004107
4 2004101
5 200481
6 200874
7 200065
8 201065
9 200547
10
High Accuracy Stereovision Approach for Obstacle Detection on Non-Planar Roads
200443
11 200743
12 200436
13 200532
14 200529
15 200629
16 200628
17 200424
18 200624
19 200723
20 200723

About T. Graf

T. Graf is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Computer Graphics and Computer-Aided Design, Environmental Engineering and Aerospace Engineering, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (22 papers), Autonomous Vehicle Technology and Safety (19 papers), Video Surveillance and Tracking Methods (15 papers), Remote Sensing and LiDAR Applications (8 papers), Advanced Measurement and Detection Methods (7 papers), Robotics and Sensor-Based Localization (5 papers), Optical measurement and interference techniques (5 papers) and Infrared Target Detection Methodologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Automotive Engineering (723 citations), Media Technology (134 citations), Safety, Risk, Reliability and Quality (130 citations) and Aerospace Engineering (335 citations). T. Graf has collaborated with scholars based in Germany, United States and Romania. Frequent co-authors include Antonio M. López, Ángel D. Sappa, David Gerónimo, Marc-Michael Meinecke, Sergiu Nedevschi, Alberto Broggi, Tiberiu Mariţa, Radu Dănescu, Florin Oniga and Rolf Schmidt. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, International Journal of Automotive Technology, Human Brain Mapping and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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