Gregory J. Kacprzynski

1.3k total citations
33 papers, 756 citations indexed

About

Gregory J. Kacprzynski is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Gregory J. Kacprzynski has authored 33 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 7 papers in Electrical and Electronic Engineering and 6 papers in Automotive Engineering. Recurrent topics in Gregory J. Kacprzynski's work include Fault Detection and Control Systems (20 papers), Machine Fault Diagnosis Techniques (7 papers) and Advanced Measurement and Detection Methods (7 papers). Gregory J. Kacprzynski is often cited by papers focused on Fault Detection and Control Systems (20 papers), Machine Fault Diagnosis Techniques (7 papers) and Advanced Measurement and Detection Methods (7 papers). Gregory J. Kacprzynski collaborates with scholars based in United States, Canada and Chile. Gregory J. Kacprzynski's co-authors include Michael Roemer, George Vachtsevanos, Kai Goebel, Andrew Hess, Marcos E. Orchard, Bhaskar Saha, Rolf F. Orsagh, Liang Tang, Carl S. Byington and Liang Tang and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, JOM and Volume 1: Aircraft Engine; Marine; Turbomachinery; Microturbines and Small Turbomachinery.

In The Last Decade

Gregory J. Kacprzynski

33 papers receiving 713 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory J. Kacprzynski United States 15 506 171 166 130 127 33 756
Edward Balaban United States 15 882 1.7× 145 0.8× 220 1.3× 109 0.8× 237 1.9× 34 1.2k
Indranil Roychoudhury United States 17 736 1.5× 118 0.7× 215 1.3× 61 0.5× 125 1.0× 65 1.0k
Carl S. Byington United States 22 1.1k 2.1× 219 1.3× 291 1.8× 192 1.5× 342 2.7× 71 1.5k
Dawn An South Korea 15 713 1.4× 174 1.0× 360 2.2× 287 2.2× 334 2.6× 51 1.2k
Shunsuke Chigusa United States 12 441 0.9× 53 0.3× 86 0.5× 63 0.5× 95 0.7× 22 574
Yizhen Peng China 10 467 0.9× 61 0.4× 235 1.4× 136 1.0× 250 2.0× 27 644
Jianhui Luo United States 13 398 0.8× 70 0.4× 59 0.4× 170 1.3× 108 0.9× 23 740
Shaopeng Dong China 6 441 0.9× 33 0.2× 171 1.0× 127 1.0× 167 1.3× 15 730
Pin Lim Singapore 7 784 1.5× 61 0.4× 335 2.0× 162 1.2× 271 2.1× 8 1.1k

Countries citing papers authored by Gregory J. Kacprzynski

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Kacprzynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Kacprzynski. 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 Gregory J. Kacprzynski. The network helps show where Gregory J. Kacprzynski may publish in the future.

Co-authorship network of co-authors of Gregory J. Kacprzynski

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Kacprzynski. A scholar is included among the top collaborators of Gregory J. Kacprzynski 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 Gregory J. Kacprzynski. Gregory J. Kacprzynski 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.
Kacprzynski, Gregory J., et al.. (2015). Design and Implementation of Aircraft System Health Management (ASHM) Utilizing Existing Data Feeds. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
2.
Tang, Liang, Gregory J. Kacprzynski, Kai Goebel, et al.. (2008). Prognostics-enhanced Automated Contingency Management for advanced autonomous systems. 1–9. 30 indexed citations
3.
Orchard, Marcos E., Gregory J. Kacprzynski, Kai Goebel, Bhaskar Saha, & George Vachtsevanos. (2008). Advances in uncertainty representation and management for particle filtering applied to prognostics. 1–6. 130 indexed citations
4.
Tang, Liang, Gregory J. Kacprzynski, Kai Goebel, et al.. (2007). Prognostics in the Control Loop.. National Conference on Artificial Intelligence. 129–136. 5 indexed citations
5.
Tang, Liang, Abhinav Saxena, Marcos E. Orchard, et al.. (2007). Simulation-based Design and Validation of Automated Contingency Management for Propulsion Systems. 1. 1–11. 6 indexed citations
6.
Tang, Liang, et al.. (2006). An Intelligent Agent-based Self-evolving Maintenance and Operations Reasoning System. 1–12. 13 indexed citations
7.
Tang, Liang, Gregory J. Kacprzynski, Michael Roemer, George Vachtsevanos, & Ann Patterson‐Hine. (2005). Automated Contingency Management Design for Advanced Propulsion Systems. 6 indexed citations
8.
Kacprzynski, Gregory J., et al.. (2004). Metrics and development tools for prognostic algorithms. 6. 3809–3815. 4 indexed citations
9.
Kacprzynski, Gregory J., et al.. (2004). Predicting remaining life by fusing the physics of failure modeling with diagnostics. JOM. 56(3). 29–35. 99 indexed citations
10.
Kacprzynski, Gregory J., et al.. (2004). Calibration of failure mechanism-based prognosis with vibratory state awareness applied to the H-60 gearbox. 7. 3271–3278. 2 indexed citations
11.
Kacprzynski, Gregory J., Michael Roemer, & Andrew Hess. (2003). Health management system design: Development, simulation and cost/benefit optimization. Proceedings - IEEE Aerospace Conference. 6. 6–3065. 45 indexed citations
12.
Bloor, Geoffrey, T. Brotherton, Link Jaw, et al.. (2002). An evolvable tri-reasoner IVHM system. 6. 3023–3037. 14 indexed citations
13.
Roemer, Michael, et al.. (2002). Advanced test cell diagnostics for gas turbine engines. 6. 2915–2925. 2 indexed citations
14.
Roemer, Michael, et al.. (2002). Upgrading Engine Test Cells for Improved Troubleshooting and Diagnostics. 135–143. 1 indexed citations
15.
Roemer, Michael, Gregory J. Kacprzynski, & Rolf F. Orsagh. (2002). Assessment of data and knowledge fusion strategies for prognostics and health management. 6. 2979–2988. 64 indexed citations
16.
Roemer, Michael, et al.. (2002). Improved diagnostic and prognostic assessments using health management information fusion. 365–377. 20 indexed citations
17.
Roemer, Michael & Gregory J. Kacprzynski. (2002). Advanced diagnostics and prognostics for gas turbine engine risk assessment. 6. 345–353. 71 indexed citations
18.
Kacprzynski, Gregory J., Michael Römer, & Rolf F. Orsagh. (2001). Assessment of Data and Knowledge Fusion Strategies for Diagnostics and Prognostics. Defense Technical Information Center (DTIC). 3 indexed citations
19.
Römer, Michael, et al.. (2001). Prognostic Enhancements to Naval Condition-Based Maintenance Systems. Defense Technical Information Center (DTIC). 6 indexed citations
20.
Roemer, Michael & Gregory J. Kacprzynski. (2000). Advanced Diagnostic and Prognostic Technologies for Gas Turbine Engine Risk Assessment. 17 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.

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