Dizan Vasquez

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

About

Dizan Vasquez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Dizan Vasquez has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Aerospace Engineering. Recurrent topics in Dizan Vasquez's work include Video Surveillance and Tracking Methods (8 papers), Robotics and Sensor-Based Localization (6 papers) and Robotic Path Planning Algorithms (6 papers). Dizan Vasquez is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Robotics and Sensor-Based Localization (6 papers) and Robotic Path Planning Algorithms (6 papers). Dizan Vasquez collaborates with scholars based in France, Switzerland and United States. Dizan Vasquez's 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 and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Intelligent Transportation Systems and Journal of Field Robotics.

In The Last Decade

Dizan Vasquez

15 papers receiving 1.3k 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.

A survey on motion prediction and risk assessment for intelligent vehicles

2014 774 citations Stéphanie Lefèvre, Dizan Vasquez et al. ROBOMECH Journal profile →

Peers

Dizan Vasquez

CVPR

CSE

SRRQ

Tobias Gindele Germany

J.C. McCall United States

Stéphanie Lefèvre France

Sergio Casas Spain

Nico Kaempchen Germany

Julian Bock Germany

Paul Vernaza United States

Robert Krajewski Germany

Diange Yang China

Chiyomi Miyajima Japan

Tobias Gindele Germany

Dizan Vasquez

713 ×0.8

337 ×0.6

CVPR

338 ×0.9

CSE

233 ×0.7

148 ×0.5

SRRQ

Citations per year, relative to Dizan Vasquez Dizan Vasquez (= 1×) peers Tobias Gindele

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 of co-authors of Dizan Vasquez

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

All Works

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18 of 18 papers shown

Vasquez, Dizan, et al.. (2025). Enhancements in WSN Energy Efficiency Using Machine Learning: A Comparative Analysis and Real-Time Challenges. Journal of Computer and Communications. 13(8). 1–16.

Vasquez, Dizan, Billy Okal, & Kai O. Arras. (2014). Inverse Reinforcement Learning algorithms and features for robot navigation in crowds: An experimental comparison. HAL (Le Centre pour la Communication Scientifique Directe). 1341–1346. 96 indexed citations

Lefèvre, Stéphanie, Dizan Vasquez, & Christian Laugier. (2014). A survey on motion prediction and risk assessment for intelligent vehicles. ROBOMECH Journal. 1(1). 774 indexed citations breakdown →

Trulls, Eduard, et al.. (2011). Autonomous navigation for mobile service robots in urban pedestrian environments. Journal of Field Robotics. 28(3). 329–354. 35 indexed citations

Trulls, Eduard, et al.. (2010). Autonomous navigation for urban service mobile robots. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 3. 4141–4146. 8 indexed citations

Vasquez, Dizan, Thierry Fraichard, & Christian Laugier. (2009). Growing Hidden Markov Models: An Incremental Tool for Learning and Predicting Human and Vehicle Motion. The International Journal of Robotics Research. 28(11-12). 1486–1506. 76 indexed citations

Vasquez, Dizan, Thierry Fraichard, & Christian Laugier. (2009). Incremental Learning of Statistical Motion Patterns With Growing Hidden Markov Models. IEEE Transactions on Intelligent Transportation Systems. 10(3). 403–416. 84 indexed citations

Maček, Kristijan, Dizan Vasquez, Thierry Fraichard, & Roland Siegwart. (2008). Safe Vehicle Navigation in Dynamic Urban Scenarios. 482–489. 19 indexed citations

Rodrı́guez-Vera, Ramón, Dizan Vasquez, Katia Genovese, J. A. Rayas, & Fernando Mendoza Santoyo. (2008). Static and dynamic 3D contouring by using structured light. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7155. 71552A–71552A. 1 indexed citations

10.

Vasquez, Dizan, et al.. (2008). Frame rate object extraction from video sequences with self organizing networks and statistical background detection. HAL (Le Centre pour la Communication Scientifique Directe). 1. 3610–3615.

11.

Vasquez, Dizan, Thierry Fraichard, Olivier Aycard, & Christian Laugier. (2008). Intentional motion on-line learning and prediction. Machine Vision and Applications. 19(5-6). 411–425. 38 indexed citations

12.

Laugier, Christian, Dizan Vasquez, Manuel Yguel, Thierry Fraichard, & Olivier Aycard. (2007). Geometric and Bayesian models for safe navigation in dynamic environments. Intelligent Service Robotics. 1(1). 51–72. 7 indexed citations

13.

Vasquez, Dizan & Thierry Fraichard. (2006). A Novel Self Organizing Network to Perform Fast Moving Object Extraction from Video Streams. HAL (Le Centre pour la Communication Scientifique Directe). 1. 4857–4862. 7 indexed citations

14.

Vasquez, Dizan, et al.. (2006). Fast Object Extraction from Bayesian Occupancy Grids using Self Organizing Networks. HAL (Le Centre pour la Communication Scientifique Directe). 1. 1–6. 4 indexed citations

15.

Vasquez, Dizan, F. Large, Thierry Fraichard, & Christian Laugier. (2005). High-speed autonomous navigation with motion prediction for unknown moving obstacles. HAL (Le Centre pour la Communication Scientifique Directe). 1. 82–87. 19 indexed citations

16.

Vasquez, Dizan, F. Large, Thierry Fraichard, & Christian Laugier. (2005). Moving obstacles' motion prediction for autonomous navigation. HAL (Le Centre pour la Communication Scientifique Directe). 1. 149–154. 5 indexed citations

17.

Large, F., Dizan Vasquez, Thierry Fraichard, & Christian Laugier. (2004). Avoiding cars and pedestrians using velocity obstacles and motion prediction. 55 indexed citations

18.

Vasquez, Dizan & Thierry Fraichard. (2004). Motion prediction for moving objects: a statistical approach. HAL (Le Centre pour la Communication Scientifique Directe). 3931–3936 Vol.4. 81 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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