Ewoud A. I. Pool

546 total citations · 1 hit paper
7 papers, 350 citations indexed

About

Ewoud A. I. Pool is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ewoud A. I. Pool has authored 7 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Automotive Engineering, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Ewoud A. I. Pool's work include Autonomous Vehicle Technology and Safety (7 papers), Video Surveillance and Tracking Methods (4 papers) and Traffic Prediction and Management Techniques (2 papers). Ewoud A. I. Pool is often cited by papers focused on Autonomous Vehicle Technology and Safety (7 papers), Video Surveillance and Tracking Methods (4 papers) and Traffic Prediction and Management Techniques (2 papers). Ewoud A. I. Pool collaborates with scholars based in Netherlands and Germany. Ewoud A. I. Pool's co-authors include Dariu M. Gavrila, Julian F. P. Kooij, Fabian B. Flohr, Javier Alonso–Mora, Barys Shyrokau, Laura Ferranti, Bruno Brito and Riender Happee and has published in prestigious journals such as International Journal of Computer Vision, IEEE Robotics and Automation Letters and IEEE Transactions on Intelligent Vehicles.

In The Last Decade

Ewoud A. I. Pool

7 papers receiving 333 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.

Multi-Class Road User Detection With 3+1D Radar in the View-of-Delft Dataset

2022 154 citations Ewoud A. I. Pool, Julian F. P. Kooij et al. IEEE Robotics and Automation Letters profile →

Peers

Ewoud A. I. Pool

AE

CVPR

AE

SRRQ

AI

Amaury Nègre France

A. Joos Germany

Christoph Schöller Germany

Benjamin Caine Germany

Antonio Prioletti Italy

Kay Fuerstenberg Germany

Mohammad Aldibaja Japan

Hossein Tehrani Japan

Dzmitry Tsishkou France

Daniel Meißner Germany

Amaury Nègre France

Ewoud A. I. Pool

223 ×1.3

AE

163 ×1.0

CVPR

92 ×0.9

AE

80 ×1.1

SRRQ

58 ×1.1

AI

Citations per year, relative to Ewoud A. I. Pool Ewoud A. I. Pool (= 1×) peers Amaury Nègre

Countries citing papers authored by Ewoud A. I. Pool

Since Specialization

Citations

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

Fields of papers citing papers by Ewoud A. I. Pool

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewoud A. I. Pool. 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 Ewoud A. I. Pool. The network helps show where Ewoud A. I. Pool may publish in the future.

Co-authorship network of co-authors of Ewoud A. I. Pool

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

All Works

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7 of 7 papers shown

1.

Pool, Ewoud A. I., et al.. (2022). Multi-Class Road User Detection With 3+1D Radar in the View-of-Delft Dataset. IEEE Robotics and Automation Letters. 7(2). 4961–4968. 154 indexed citations breakdown →

2.

Pool, Ewoud A. I., Julian F. P. Kooij, & Dariu M. Gavrila. (2021). Crafted vs Learned Representations in Predictive Models—A Case Study on Cyclist Path Prediction. IEEE Transactions on Intelligent Vehicles. 6(4). 747–759. 7 indexed citations

3.

Pool, Ewoud A. I., et al.. (2020). An Experimental Study on 3D Person Localization in Traffic Scenes. 1813–1818. 4 indexed citations

4.

Pool, Ewoud A. I., Julian F. P. Kooij, & Dariu M. Gavrila. (2019). Context-based cyclist path prediction using Recurrent Neural Networks. Research Repository (Delft University of Technology). 824–830. 23 indexed citations

5.

Ferranti, Laura, Bruno Brito, Ewoud A. I. Pool, et al.. (2019). SafeVRU: A Research Platform for the Interaction of Self-Driving Vehicles with Vulnerable Road Users. Research Repository (Delft University of Technology). 1660–1666. 32 indexed citations

6.

Kooij, Julian F. P., Fabian B. Flohr, Ewoud A. I. Pool, & Dariu M. Gavrila. (2018). Context-Based Path Prediction for Targets with Switching Dynamics. International Journal of Computer Vision. 127(3). 239–262. 92 indexed citations

7.

Pool, Ewoud A. I., Julian F. P. Kooij, & Dariu M. Gavrila. (2017). Using road topology to improve cyclist path prediction. Research Repository (Delft University of Technology). 38 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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