Matthew Daigle

2.5k citations
91 papers · 1.8k · h-index 22

Impact in

Papers in

Matthew Daigle

90 papers receiving 1.8k citations

Peers

Matthew Daigle
Comparison fields: 5 of 74
  • Control and Systems Engineering 1.1k
  • Safety, Risk, Reliability and Quality 391
  • Statistics, Probability and Uncertainty 275
  • Automotive Engineering 457
  • Software 107
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Xiaojian Yi China
Chetan S. Kulkarni United States
Indranil Roychoudhury United States
Joo-Ho Choi South Korea
Dawn An South Korea
Μ. Staroswiecki France
Edward Balaban United States
Linxia Liao United States
Mattias Nyberg Sweden
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Matthew Daigle

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Daigle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Daigle, 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 Daigle Line = papers co-authored together Matthew Daigle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014175
2 2012129
3 2011102
4 2014101
5 200793
6 201389
7 201071
8 201267
9 201064
10 201253
11 201152
12 201342
13 201241
14 201434
15 201434
16 200932
17 201030
18 201426
19 201025
20 200925

About Matthew Daigle

Matthew Daigle is a scholar working on Control and Systems Engineering, Artificial Intelligence, Automotive Engineering, Software and Aerospace Engineering, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (64 papers), Machine Fault Diagnosis Techniques (17 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), AI-based Problem Solving and Planning (13 papers), Advanced Battery Technologies Research (12 papers), Advanced Data Processing Techniques (12 papers), Risk and Safety Analysis (9 papers) and Petri Nets in System Modeling (9 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Safety, Risk, Reliability and Quality (391 citations), Statistics, Probability and Uncertainty (275 citations), Automotive Engineering (457 citations) and Software (107 citations). Matthew Daigle has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Kai Goebel, Chetan S. Kulkarni, Indranil Roychoudhury, Xenofon Koutsoukos, Shankar Sankararaman, Gautam Biswas, Aníbal Bregón, Gautam Biswas, Abhinav Saxena and Bhaskar Saha. Their work appears in journals such as International Journal of Prognostics and Health Management, IEEE Transactions on Reliability, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Journal of Thermophysics and Heat Transfer and IEEE Transactions on Control Systems Technology.

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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