Dizan Vasquez

2.0k citations
18 papers · 1.3k indexed · 1 hit paper · h-index 10

Dizan Vasquez

15 papers receiving 1.3k citations

Hit Papers

A survey on motion prediction and risk assessment for int...7742014202620182022250500750

Peers

Dizan Vasquez
Comparison fields: 5 of 70
  • Automotive Engineering 857
  • Safety, Risk, Reliability and Quality 290
  • Computer Vision and Pattern Recognition 571
  • Building and Construction 243
  • Control and Systems Engineering 371
Replace Tobias Gindele with:
Tobias Gindele Germany
J.C. McCall United States
Stéphanie Lefèvre France
Julian Bock Germany
Robert Krajewski Germany
Nico Kaempchen Germany
Diange Yang China
Paul Vernaza United States
Chiyomi Miyajima Japan
Tianlu Mao China
Dizan Vasquez relative to Tobias Gindele Germany Tobias Gindele's profile →
Citations per field
00.5×1.5×2.4×
Tobias Gindele · 1×
Citations per year

Countries citing papers authored by Dizan Vasquez

Since Specialization
Citations

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

Fields of papers citing papers by Dizan Vasquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Dizan Vasquez, 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 Dizan Vasquez Line = papers co-authored together Dizan Vasquez links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20250
2 201496
3
A survey on motion prediction and risk assessment for intelligent vehiclesbreakdown →
2014774
4 201135
5 20108
6 200976
7 200984
8 200819
9 20081
10 20080
11 200838
12 20077
13 20067
14 20064
15 200519
16 20055
17 200455
18 200481

About Dizan Vasquez

Dizan Vasquez is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (6 papers), Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Advanced Vision and Imaging (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Automotive Engineering (857 citations), Safety, Risk, Reliability and Quality (290 citations) and Computer Vision and Pattern Recognition (571 citations). Dizan Vasquez has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Christian Laugier, Stéphanie Lefèvre, Thierry Fraichard, Billy Okal, Kai O. Arras, F. Large, Olivier Aycard, Eduard Trulls, Alberto Sanfeliu and Roland Siegwart. Their work appears in journals such as Journal of Field Robotics, IEEE Transactions on Intelligent Transportation Systems, Machine Vision and Applications, Intelligent Service Robotics and The International Journal of Robotics Research.

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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