Kai Goebel

227 papers and 6.8k indexed citations i.

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 227 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Control and Systems Engineering, 47 papers in Statistics, Probability and Uncertainty and 44 papers in Artificial Intelligence. Recurrent topics in Kai Goebel’s work include Fault Detection and Control Systems (106 papers), Machine Fault Diagnosis Techniques (56 papers) and Advanced Battery Technologies Research (33 papers). Kai Goebel is often cited by papers focused on Fault Detection and Control Systems (106 papers), Machine Fault Diagnosis Techniques (56 papers) and Advanced Battery Technologies Research (33 papers). Kai Goebel collaborates with scholars based in United States, Sweden and Spain. Kai Goebel's co-authors include Bhaskar Saha, Abhinav Saxena, José Celaya, Jon P. Christophersen, Matthew Daigle, Shankar Sankararaman, Sankalita Saha, Chetan S. Kulkarni, Scott Poll and Manuel Arias Chao and has published in prestigious journals such as Proceedings of the IEEE, Applied Energy and IEEE Transactions on Industrial Electronics.

In The Last Decade

Co-authorship network of co-authors of Kai Goebel i

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.

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).

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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2025