Evangeline Pollard

400 citations
9 papers · 89 · h-index 6

Impact in

Papers in

Evangeline Pollard

8 papers receiving 85 citations

Peers

Evangeline Pollard
Comparison fields: 5 of 28
  • Artificial Intelligence 48
  • Automotive Engineering 18
  • Computer Vision and Pattern Recognition 23
  • Aerospace Engineering 26
  • Oceanography 10
Replace Mingyue Feng with:
Mingyue Feng China
Víctor Jiménez Spain
Tianjun Zhang China
Zhijian He China
Buu Phan Canada
Xiuyuan Lu Hong Kong
Alain Ratle Canada
Xinlei Pan United States
Thayne T. Walker United States
Shane Barratt United States
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Citations per field
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Citations per year

Countries citing papers authored by Evangeline Pollard

Since Specialization
Citations

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

Fields of papers citing papers by Evangeline Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Evangeline Pollard, 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 Evangeline Pollard Line = papers co-authored together Evangeline Pollard links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201124
2 201320
3
GM-PHD filters for multi-object tracking in uncalibrated aerial videos
200919
4 200811
5 20135
6 20155
7 20133
8 20082
9 20130

About Evangeline Pollard

Evangeline Pollard is a scholar working on Artificial Intelligence, Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 9 papers that have together received 89 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (5 papers), Autonomous Vehicle Technology and Safety (2 papers), Robotic Path Planning Algorithms (2 papers), Video Surveillance and Tracking Methods (2 papers), Fault Detection and Control Systems (2 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Electric Vehicles and Infrastructure (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Artificial Intelligence (48 citations), Automotive Engineering (18 citations), Computer Vision and Pattern Recognition (23 citations), Aerospace Engineering (26 citations) and Oceanography (10 citations). Evangeline Pollard has collaborated with scholars based in France and Italy. Frequent co-authors include B. Pannetier, Michèle Rombaut, Joshué Pérez, Fawzi Nashashibi, Frédéric Champagnat, Aurélien Plyer, Jean Dezert, Guy Le Besnerais, Alessandro Farina and Matteo Zoppi. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Sensors, International Journal of Electric and Hybrid Vehicles, Proceedings - IEEE Aerospace Conference and HAL (Le Centre pour la Communication Scientifique Directe).

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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