Benjamin Caine

4.0k citations
2 papers · 347 · 1 hit paper · h-index 2

Impact in

Papers in

Benjamin Caine

2 papers receiving 338 citations

Benjamin Caine's Hit Papers

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset 2021 · 300 citations
3000+1+3Years since publication100200300

Peers

Benjamin Caine
Comparison fields: 5 of 39
  • Automotive Engineering 213
  • Safety, Risk, Reliability and Quality 76
  • Computer Vision and Pattern Recognition 157
  • Building and Construction 62
  • Signal Processing 35
Replace Zoey Yang with:
Zoey Yang Germany
Chenxi Liu China
Dzmitry Tsishkou France
Jürgen Wiest Germany
Ewoud A. I. Pool Netherlands
Neeraj K. Kanhere United States
Matthias Schreier Germany
Amaury Nègre France
Chiyu Dong United States
Christoph Schöller Germany
Benjamin Caine relative to Zoey Yang Germany Zoey Yang's profile →
Citations per field
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Zoey Yang · 1×
Citations per year

Countries citing papers authored by Benjamin Caine

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Caine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Benjamin Caine, 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 Benjamin Caine Line = papers co-authored together Benjamin Caine links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Hit paper breakdown →
2021300
2 202147

About Benjamin Caine

Benjamin Caine is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality, Aerospace Engineering and Building and Construction, having authored 2 papers that have together received 347 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (1 paper), Traffic Prediction and Management Techniques (1 paper), Advanced Neural Network Applications (1 paper), Robotics and Sensor-Based Localization (1 paper), Traffic and Road Safety (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Automotive Engineering (213 citations), Safety, Risk, Reliability and Quality (76 citations), Computer Vision and Pattern Recognition (157 citations), Building and Construction (62 citations) and Signal Processing (35 citations). Benjamin Caine has collaborated with scholars based in Germany and United States. Frequent co-authors include Dragomir Anguelov, Jiquan Ngiam, Yuning Chai, Vijay Vasudevan, Pei Sun, Hang Zhao, Ben Sapp, Jonathon Shlens, Scott Ettinger and Charles R. Qi. Their work appears in journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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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