Sara Kohtz

487 total citations · 1 hit paper
11 papers, 344 citations indexed

About

Sara Kohtz is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Sara Kohtz has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 5 papers in Control and Systems Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Sara Kohtz's work include Advanced Battery Technologies Research (6 papers), Non-Destructive Testing Techniques (4 papers) and Fault Detection and Control Systems (3 papers). Sara Kohtz is often cited by papers focused on Advanced Battery Technologies Research (6 papers), Non-Destructive Testing Techniques (4 papers) and Fault Detection and Control Systems (3 papers). Sara Kohtz collaborates with scholars based in United States. Sara Kohtz's co-authors include Pingfeng Wang, Yanwen Xu, Paolo Gardoni, Jessica Boakye, Zhuoyuan Zheng, Debbie G. Senesky, Kiruba S. Haran, Anabel Renteria, Junhan Zhao and Xiaolong Zhang and has published in prestigious journals such as Mechanical Systems and Signal Processing and Reliability Engineering & System Safety.

In The Last Decade

Sara Kohtz

10 papers receiving 337 citations

Hit 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.

Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges

2022 215 citations Yanwen Xu, Sara Kohtz et al. Reliability Engineering & System Safety profile →

Peers

Sara Kohtz

CSE

EEE

AE

ME

SPU

Inseok Park South Korea

Julie Chalfant United States

Sajad Saraygord Afshari Canada

Vepa Atamuradov France

Li Cai China

Linfeng Gou China

Yingqing Guo China

Julie A. Reyer United States

Zenghui Huang China

Inseok Park South Korea

Sara Kohtz

96 ×0.8

CSE

28 ×0.3

EEE

91 ×1.1

AE

74 ×1.0

ME

135 ×2.3

SPU

Citations per year, relative to Sara Kohtz Sara Kohtz (= 1×) peers Inseok Park

Countries citing papers authored by Sara Kohtz

Since Specialization

Citations

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

Fields of papers citing papers by Sara Kohtz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Kohtz

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Kohtz. A scholar is included among the top collaborators of Sara Kohtz 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 Sara Kohtz. Sara Kohtz 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:

11 of 11 papers shown

1.

Kohtz, Sara & Pingfeng Wang. (2024). Sensor Placement and Fault Detection in Electric Motor using Stacked Classifier and Search Algorithm. 1–5. 1 indexed citations

2.

Liu, Zheng, Jiaxin Wu, Wuchen Fu, et al.. (2023). Generative Design and Optimization of Battery Packs with Active Immersion Cooling. 1–5. 3 indexed citations

3.

Kohtz, Sara, et al.. (2023). A Gaussian Process Model with Indirect Health Indicators for Battery Prognosis. 1–6. 2 indexed citations

4.

Kohtz, Sara, Junhan Zhao, Anabel Renteria, et al.. (2023). Optimal sensor placement for permanent magnet synchronous motor condition monitoring using a digital twin-assisted fault diagnosis approach. Reliability Engineering & System Safety. 242. 109714–109714. 27 indexed citations

5.

Kohtz, Sara, Junhan Zhao, Anabel Renteria, et al.. (2023). Sensor Network Design for Permanent Magnet Synchronous Motor Fault Diagnosis. 1 indexed citations

6.

Xu, Yanwen, Sara Kohtz, Jessica Boakye, Paolo Gardoni, & Pingfeng Wang. (2022). Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges. Reliability Engineering & System Safety. 230. 108900–108900. 215 indexed citations breakdown →

7.

Zheng, Zhuoyuan, Zheng Liu, Sara Kohtz, et al.. (2022). Electrical and Thermal Active Co-Management for Lithium-ion Batteries. 1159–1162. 5 indexed citations

8.

Zheng, Zhuoyuan, et al.. (2022). Reliability-Based Optimization of Offshore Salt Caverns for CO2 Abatement. 1 indexed citations

9.

Kohtz, Sara, Yanwen Xu, Zhuoyuan Zheng, & Pingfeng Wang. (2022). Physics-informed machine learning model for battery state of health prognostics using partial charging segments. Mechanical Systems and Signal Processing. 172. 109002–109002. 88 indexed citations

10.

Chen, Bo, Sara Kohtz, & Pingfeng Wang. (2020). Advanced EIS techniques for battery power management. 1497–1502.

11.

Kohtz, Sara & Pingfeng Wang. (2020). A Comparison Study of Machine Learning Enabled Filtering Methods for Battery Management. 2191. 1–6. 1 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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