Kai Goebel

15.5k total citations · 8 hit papers
339 papers, 11.6k citations indexed

About

Kai Goebel is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Kai Goebel has authored 339 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Control and Systems Engineering, 69 papers in Statistics, Probability and Uncertainty and 63 papers in Artificial Intelligence. Recurrent topics in Kai Goebel's work include Fault Detection and Control Systems (152 papers), Machine Fault Diagnosis Techniques (71 papers) and Structural Health Monitoring Techniques (47 papers). Kai Goebel is often cited by papers focused on Fault Detection and Control Systems (152 papers), Machine Fault Diagnosis Techniques (71 papers) and Structural Health Monitoring Techniques (47 papers). Kai Goebel collaborates with scholars based in United States, Sweden and Chile. Kai Goebel's co-authors include Bhaskar Saha, Abhinav Saxena, José Celaya, Jon P. Christophersen, Neil Eklund, Matthew Daigle, Sankalita Saha, Scott Poll, Chetan S. Kulkarni and Shankar Sankararaman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Kai Goebel

330 papers receiving 11.1k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Damage propagation modeling for aircraft engine run-to-failure simulation

2008 1.1k citations Abhinav Saxena, Kai Goebel et al. profile →
Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

2008 656 citations Bhaskar Saha, Kai Goebel et al. profile →
Prognostics in Battery Health Management

2008 462 citations Kai Goebel, Bhaskar Saha et al. profile →
Metrics for evaluating performance of prognostic techniques

2008 401 citations Abhinav Saxena, José Celaya et al. profile →
Fusing physics-based and deep learning models for prognostics

2022 246 citations Chetan S. Kulkarni, Kai Goebel et al. profile →
Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks

2021 206 citations Kai Goebel et al. profile →
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics

2021 194 citations Chetan S. Kulkarni, Kai Goebel et al. profile →
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values

2022 161 citations Kai Goebel et al. profile →

Peers

Countries citing papers authored by Kai Goebel

Since Specialization

Citations

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

Fields of papers citing papers by Kai Goebel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Goebel

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Monitoring-supported value generation for managing structures and infrastructure systems 2024 ·SHILAP Revista de lepidopterología ·(unknown), Eleni Chatzi, Dániel Straub, Nikolaos Dervilis, Kai Goebel, (unknown), Geert Lombaert, Costas Papadimitriou, Konstantinos G. Papakonstantinou, Matteo Pozzi, Michael D. Todd, Keith Worden	2
2	A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance 2023 ·Reliability Engineering & System Safety ·(unknown), Konstantinos Tatsis, Eleni Chatzi, Kai Goebel, Dániel Straub	26
3	Policy, Regulations and Standards in Prognostics and Health Management 2021 ·International Journal of Prognostics and Health Management ·Kai Goebel, (unknown)	4
4	Exploring Architectures for Integrated Resilience Optimization 2021 ·Journal of Aerospace Information Systems ·(unknown), Arpan Biswas, Christopher Hoyle, Irem Y. Tumer, Chetan S. Kulkarni, Kai Goebel	2
5	Analysis of two modeling approaches for fatigue estimation and remaining useful life predictions of wind turbine blades 2016 ·PHM Society European Conference ·(unknown), Shankar Sankararaman, Teresa Escobet, Vicenç Puig, Susan A. Frost, Kai Goebel	11
6	Echo State Network for the Remaining Useful Life Prediction of a Turbofan Engine 2016 ·PHM Society European Conference ·Marco Rigamonti, Piero Baraldi, Enrico Zio, (unknown), Kai Goebel, Scott Poll	25
7	Performance Evaluation for Fleet-based and Unit-based Prognostic Methods 2014 ·PHM Society European Conference ·Abhinav Saxena, Shankar Sankararaman, Kai Goebel	22
8	Are Current Prognostic Performance Evaluation Practices Sufficient and Meaningful? 2014 ·Annual Conference of the PHM Society ·Shankar Sankararaman, Abhinav Saxena, Kai Goebel	7
9	A Novel Computational Methodology for Uncertainty Quantification in Prognostics Using The Most Probable Point Concept 2013 ·Annual Conference of the PHM Society ·Shankar Sankararaman, Kai Goebel	6
10	Physics Based Degradation Models for Capacitor Prognostics under Thermal Overstress Conditions 2013 ·SHILAP Revista de lepidopterología ·Kai Goebel, Gautam Biswas, José Celaya, Chetan S. Kulkarni	4
11	SIL/HIL Replication of Electric Aircraft Powertrain Dynamics and Inner-Loop Control for V&V of System Health Management Routines 2013 ·Annual Conference of the PHM Society ·(unknown), (unknown), Cuong C. Quach, (unknown), (unknown), Kai Goebel, George Vachtsevanos	12
12	Probabilistic delamination diagnosis of composite materials using a novel Bayesian Imaging Method 2013 ·Annual Conference of the PHM Society ·Tishun Peng, Abhinav Saxena, Kai Goebel, Shankar Sankararaman, Yibing Xiang, Yongming Liu	1
13	An Energy-Based Prognostic Framework to Predict Fatigue Damage Evolution in Composites 2013 ·Annual Conference of the PHM Society ·(unknown), (unknown), Abhinav Saxena, Guillermo Rus, Kai Goebel	12
14	Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation 2012 ·Annual Conference of the PHM Society ·José Celaya, Abhinav Saxena, Kai Goebel	35
15	Markov Modeling of Component Fault Growth Over A Derived Domain of Feasible Output Control Effort Modifications 2012 ·Annual Conference of the PHM Society ·(unknown), Kai Goebel, George Vachtsevanos	2
16	Designing Data-Driven Battery Prognostic Approaches for Variable Loading Profiles: Some Lessons Learned 2012 ·PHM Society European Conference ·Abhinav Saxena, José Celaya, Indranil Roychoudhury, Sankalita Saha, Bhaskar Saha, Kai Goebel	26
17	Adaptive Load-Allocation for Prognosis-Based Risk Management 2011 ·Annual Conference of the PHM Society ·(unknown), Liang Tang, Kai Goebel, George Vachtsevanos	9
18	Accelerated Aging Experiments for Prognostics of Damage Growth in Composite Materials 2011 ·Structural Health Monitoring ·Abhinav Saxena, Kai Goebel, (unknown), (unknown), Surajit Roy, Fu‐Kuo Chang	32
19	Damage propagation modeling for aircraft engine run-to-failure simulation breakdown → 2008 ·Abhinav Saxena, Kai Goebel, (unknown), Neil Eklund	1127
20	A Bayesian Framework for Remaining Useful Life Estimation 2007 ·National Conference on Artificial Intelligence ·Bhaskar Saha, Kai Goebel, Scott Poll, Jon P. Christophersen	12

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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