Matthew Daigle

2.5k total citations
91 papers, 1.8k citations indexed

About

Matthew Daigle is a scholar working on Control and Systems Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Matthew Daigle has authored 91 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Control and Systems Engineering, 31 papers in Artificial Intelligence and 14 papers in Automotive Engineering. Recurrent topics in Matthew Daigle's work include Fault Detection and Control Systems (64 papers), Machine Fault Diagnosis Techniques (17 papers) and Target Tracking and Data Fusion in Sensor Networks (15 papers). Matthew Daigle is often cited by papers focused on Fault Detection and Control Systems (64 papers), Machine Fault Diagnosis Techniques (17 papers) and Target Tracking and Data Fusion in Sensor Networks (15 papers). Matthew Daigle collaborates with scholars based in United States, Spain and France. Matthew Daigle's 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 and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Control Systems Technology and IEEE Transactions on Robotics.

In The Last Decade

Matthew Daigle

90 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Daigle United States 22 1.1k 457 391 338 275 91 1.8k
Scott Poll United States 16 776 0.7× 655 1.4× 354 0.9× 274 0.8× 102 0.4× 44 1.5k
Chetan S. Kulkarni United States 18 855 0.7× 656 1.4× 363 0.9× 217 0.6× 148 0.5× 107 1.8k
Xiaojian Yi China 25 1.2k 1.1× 111 0.2× 263 0.7× 495 1.5× 271 1.0× 164 2.3k
Huajing Fang China 25 1.8k 1.6× 565 1.2× 320 0.8× 450 1.3× 50 0.2× 196 2.8k
Edward Balaban United States 15 882 0.8× 107 0.2× 220 0.6× 203 0.6× 145 0.5× 34 1.2k
Joo-Ho Choi South Korea 20 781 0.7× 142 0.3× 270 0.7× 98 0.3× 177 0.6× 114 1.4k
Indranil Roychoudhury United States 17 736 0.6× 100 0.2× 215 0.5× 230 0.7× 118 0.4× 65 1.0k
Carl S. Byington United States 22 1.1k 0.9× 103 0.2× 291 0.7× 123 0.4× 219 0.8× 71 1.5k
Mustapha Ouladsine France 19 1.0k 0.9× 208 0.5× 67 0.2× 130 0.4× 121 0.4× 140 1.5k
Davide M. Raimondo Italy 28 2.2k 1.9× 796 1.7× 76 0.2× 189 0.6× 94 0.3× 88 3.1k

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-authorship network of co-authors of Matthew Daigle

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

All Works

20 of 20 papers shown
1.
Corbetta, Matteo, et al.. (2023). ProgPy: Python Packages for Prognostics and HealthManagement of Engineering Systems. The Journal of Open Source Software. 8(87). 5099–5099. 3 indexed citations
2.
Daigle, Matthew, et al.. (2017). GPU Accelerated Prognostics. Annual Conference of the PHM Society. 9(1). 2 indexed citations
3.
Bregón, Aníbal, Matthew Daigle, & Indranil Roychoudhury. (2016). Qualitative Fault Isolation of Hybrid Systems: A Structural Model Decomposition-Based Approach. PHM Society European Conference. 3(1). 3 indexed citations
4.
Daigle, Matthew, Shankar Sankararaman, & Indranil Roychoudhury. (2016). System-level Prognostics for the National Airspace. Annual Conference of the PHM Society. 8(1). 6 indexed citations
5.
Daigle, Matthew, Indranil Roychoudhury, & Aníbal Bregón. (2015). Model-based Prognostics of Hybrid Systems. Annual Conference of the PHM Society. 7(1). 9 indexed citations
6.
Daigle, Matthew, Indranil Roychoudhury, & Aníbal Bregón. (2014). Diagnosability-Based Sensor Placement through Structural Model Decomposition. PHM Society European Conference. 2(1). 7 indexed citations
7.
Daigle, Matthew, et al.. (2014). Online Prediction of Battery Discharge and Estimation of Parasitic Loads for an Electric Aircraft. PHM Society European Conference. 2(1). 26 indexed citations
8.
Kulkarni, Chetan S., et al.. (2014). Validation of Model-Based Prognostics for Pneumatic Valves in a Demonstration Testbed. Annual Conference of the PHM Society. 6(1). 10 indexed citations
9.
Bregón, Aníbal, Matthew Daigle, Indranil Roychoudhury, et al.. (2014). An event-based distributed diagnosis framework using structural model decomposition. Artificial Intelligence. 210. 1–35. 34 indexed citations
10.
Daigle, Matthew, Indranil Roychoudhury, & Aníbal Bregón. (2014). Qualitative Event-Based Fault Isolation under Uncertain Observations. Annual Conference of the PHM Society. 6(1). 4 indexed citations
11.
Bregón, Aníbal, Sriram Narasimhan, Indranil Roychoudhury, Matthew Daigle, & Belarmino Pulido. (2013). An Efficient Model-based Diagnosis Engine for Hybrid Systems using Structural Model Decomposition. Annual Conference of the PHM Society. 5(1). 2 indexed citations
12.
Barber, J.P., K. Johnston, & Matthew Daigle. (2013). A Cryogenic Fluid System Simulation in Support of Integrated Systems Health Management. Annual Conference of the PHM Society. 5(1). 2 indexed citations
13.
Daigle, Matthew, et al.. (2013). Battery Charge Depletion Prediction on an Electric Aircraft. Annual Conference of the PHM Society. 5(1). 16 indexed citations
14.
Daigle, Matthew, Aníbal Bregón, & Indranil Roychoudhury. (2012). A Distributed Approach to System-Level Prognostics. Annual Conference of the PHM Society. 4(1). 20 indexed citations
15.
Daigle, Matthew & Kai Goebel. (2011). A Model-Based Prognostics Approach Applied to Pneumatic Valves. International Journal of Prognostics and Health Management. 2(2). 102 indexed citations
16.
Balaban, Edward, Sriram Narasimhan, Matthew Daigle, et al.. (2011). A Mobile Robot Testbed for Prognostics-Enabled Autonomous Decision Making. Annual Conference of the PHM Society. 3(1). 13 indexed citations
17.
Daigle, Matthew, Indranil Roychoudhury, Sriram Narasimhan, et al.. (2011). Investigating the Effect of Damage Progression Model Choice on Prognostics Performance. Annual Conference of the PHM Society. 3(1). 10 indexed citations
18.
Daigle, Matthew, Indranil Roychoudhury, Gautam Biswas, & Xenofon Koutsoukos. (2010). An Event-based Approach to Distributed Diagnosis of Continuous Systems. Annual Conference of the PHM Society. 2(2). 4 indexed citations
19.
Daigle, Matthew & Kai Goebel. (2010). Improving Computational Efficiency of Prediction in Model-based Prognostics Using the Unscented Transform. Annual Conference of the PHM Society. 2(1). 25 indexed citations
20.
Daigle, Matthew, Xenofon Koutsoukos, & Gautam Biswas. (2007). A qualitative approach to multiple fault isolation in continuous systems. National Conference on Artificial Intelligence. 293–298. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Scott Poll Breakdown of academic impact, for papers by Chetan S. Kulkarni Breakdown of academic impact, for papers by Xiaojian Yi Breakdown of academic impact, for papers by Huajing Fang Breakdown of academic impact, for papers by Edward Balaban Breakdown of academic impact, for papers by Joo-Ho Choi Breakdown of academic impact, for papers by Indranil Roychoudhury Breakdown of academic impact, for papers by Carl S. Byington Breakdown of academic impact, for papers by Mustapha Ouladsine Breakdown of academic impact, for papers by Davide M. Raimondo
Rankless by CCL
2026