Matthew Doude

597 citations
28 papers · 447 · h-index 11

Impact in

    • Advanced Optical Sensing Technologies
    • Autonomous Vehicle Technology and Safety
    • Electric and Hybrid Vehicle Technologies
    • Advanced Battery Technologies Research

Papers in

Matthew Doude

27 papers receiving 425 citations

Peers

Matthew Doude
Comparison fields: 5 of 71
  • Instrumentation 69
  • Automotive Engineering 233
  • Environmental Engineering 104
  • Computer Vision and Pattern Recognition 152
  • Geology 22
Replace Pengpeng Sun with:
Pengpeng Sun China
Werner Ritter Germany
Mohammad Aldibaja Japan
Naoki Suganuma Japan
Pasi Pyykönen Finland
Takashi Naito Japan
Daniel Meißner Germany
Thomas Brandmeier Germany
Luca Caltagirone Sweden
Zebang Yang China
Matthew Doude relative to Pengpeng Sun China Pengpeng Sun's profile →
Citations per field
00.5×8.7×
Pengpeng Sun · 1×
Citations per year

Countries citing papers authored by Matthew Doude

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Doude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019155
2 201953
3 201534
4 201830
5 201628
6 202227
7 201915
8 201815
9 202111
10 202110
11 201610
12 20199
13 20149
14 20166
15 20184
16 20204
17 20124
18 20204
19 20173
20 20183

About Matthew Doude

Matthew Doude is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering, having authored 28 papers that have together received 447 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (9 papers), Advanced Battery Technologies Research (6 papers), Autonomous Vehicle Technology and Safety (6 papers), Electric Vehicles and Infrastructure (4 papers), Advanced Neural Network Applications (4 papers), Remote Sensing and LiDAR Applications (4 papers), Mechanical Engineering and Vibrations Research (3 papers) and Vehicle Dynamics and Control Systems (3 papers). The work is most often cited by research in Instrumentation (69 citations), Automotive Engineering (233 citations), Environmental Engineering (104 citations), Computer Vision and Pattern Recognition (152 citations) and Geology (22 citations). Matthew Doude has collaborated with scholars based in United States. Frequent co-authors include Daniel W. Carruth, Christopher R. Hudson, C. Goodin, Michael S. Mazzola, John E. Ball, Bo Tang, Muhammad Aminul Islam, George L. Mason, Sherif Abdelwahed and Xingyu Li. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Electronics, IEEE Transactions on Transportation Electrification, IEEE Access and Sensors.

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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