Peter Sandborn

3.7k total citations
167 papers, 2.4k citations indexed

About

Peter Sandborn is a scholar working on Safety, Risk, Reliability and Quality, Management of Technology and Innovation and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Sandborn has authored 167 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Safety, Risk, Reliability and Quality, 49 papers in Management of Technology and Innovation and 46 papers in Electrical and Electronic Engineering. Recurrent topics in Peter Sandborn's work include Technology Assessment and Management (39 papers), Reliability and Maintenance Optimization (38 papers) and Transportation Systems and Infrastructure (38 papers). Peter Sandborn is often cited by papers focused on Technology Assessment and Management (39 papers), Reliability and Maintenance Optimization (38 papers) and Transportation Systems and Infrastructure (38 papers). Peter Sandborn collaborates with scholars based in United States, Sweden and Canada. Peter Sandborn's co-authors include Michael Pecht, Andre Kleyner, Navid Goudarzi, Chris Wilkinson, C.F. Murphy, P.A. Blakey, Magdy S. Abadir, Diego Galar, Uday Kumar and Paramvir Singh and has published in prestigious journals such as Renewable Energy, International Journal of Production Economics and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Peter Sandborn

152 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Sandborn United States 25 894 733 594 314 251 167 2.4k
Benjamin S. Blanchard United States 10 677 0.8× 338 0.5× 59 0.1× 503 1.6× 165 0.7× 18 2.1k
Xuening Chu China 26 205 0.2× 804 1.1× 134 0.2× 318 1.0× 127 0.5× 71 2.0k
Kailash C. Kapur United States 23 744 0.8× 179 0.2× 498 0.8× 413 1.3× 1.0k 4.0× 81 3.6k
Xiaoning Jin United States 24 443 0.5× 100 0.1× 316 0.5× 338 1.1× 100 0.4× 69 1.8k
Richard Curran Netherlands 26 553 0.6× 431 0.6× 75 0.1× 325 1.0× 178 0.7× 183 2.6k
Mark W. Maier United States 16 766 0.9× 339 0.5× 72 0.1× 1.3k 4.2× 87 0.3× 56 2.4k
Wolter J. Fabrycky United States 11 471 0.5× 255 0.3× 55 0.1× 474 1.5× 108 0.4× 26 1.5k
Fu‐Kwun Wang Taiwan 34 466 0.5× 128 0.2× 643 1.1× 439 1.4× 1.3k 5.2× 173 4.0k
Kuei‐Hu Chang Taiwan 25 433 0.5× 259 0.4× 47 0.1× 232 0.7× 662 2.6× 94 2.1k
Edward Pohl United States 22 768 0.9× 110 0.2× 66 0.1× 177 0.6× 348 1.4× 120 1.6k

Countries citing papers authored by Peter Sandborn

Since Specialization
Citations

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

Fields of papers citing papers by Peter Sandborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Sandborn

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Sandborn. A scholar is included among the top collaborators of Peter Sandborn 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 Peter Sandborn. Peter Sandborn 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.
Sandborn, Peter, et al.. (2024). A Design for Availability Approach for Use with PHM. Annual Conference of the PHM Society. 2(1).
2.
Groth, Katrina M., et al.. (2024). Cost-Benefit Analysis using Modular Dynamic Fault Tree Analysis and Monte Carlo Simulations for Condition-based Maintenance of Unmanned Systems. International Journal of Prognostics and Health Management. 15(2). 4 indexed citations
3.
Sandborn, Peter, et al.. (2023). Demonstration of a Response Time Based Remaining Useful Life (RUL) Prediction for Software Systems. 3(1). 9–36. 1 indexed citations
4.
Galar, Diego, et al.. (2021). Prognostics and Remaining Useful Life (RUL) Estimation. 5 indexed citations
5.
Sandborn, Peter, et al.. (2020). Optimizing the Use of LIDAR in Wind Farms: Minimizing Life-Cycle Cost Impact of Yaw Error. Journal of Physics Conference Series. 1452(1). 12011–12011. 2 indexed citations
6.
Sandborn, Peter, et al.. (2015). PHM Based Predictive Maintenance Option Model for Offshore Wind Farm O&M Optimization. Annual Conference of the PHM Society. 7(1). 2 indexed citations
7.
Sandborn, Peter, et al.. (2014). A Direct Method for Determining Design and Support Parameters to Meet an Availability Requirement. International Journal of Performability Engineering. 10(2). 211. 5 indexed citations
8.
Galar, Diego, et al.. (2014). The need for aggregated indicators in performance asset management. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 16(1). 120–127. 10 indexed citations
9.
Sandborn, Peter, et al.. (2014). A Direct Method for Determining Design and Support Parameters to Meet an Availability Requirement - Parameters Affecting Both Downtime and Uptime. International Journal of Performability Engineering. 10(6). 649–7. 3 indexed citations
10.
Settanni, Ettore, et al.. (2013). Maintenance within Product Service Systems: Is technical knowledge enough to link performance and cost?. Cambridge University Engineering Department Publications Database. 2 indexed citations
11.
Sandborn, Peter, et al.. (2011). Using real options to manage condition-based maintenance enabled by PHM. 1–7. 15 indexed citations
12.
Sandborn, Peter, et al.. (2009). Using Teardown Analysis as a Vehicle to Teach Electronic Systems Manufacturing Cost Modeling. International journal of engineering education. 25(1). 42–52. 2 indexed citations
13.
Sandborn, Phillip A. M. & Peter Sandborn. (2007). Using embedded resistor emulation and trimming to demonstrate measurement methods and associated engineering model development. International journal of engineering education. 23(4). 834–840. 6 indexed citations
14.
Sandborn, Peter, et al.. (2007). A Taxonomy and Evaluation Criteria for DMSMS Tools, Databases and Services. 8 indexed citations
15.
Fitzgerald, Daniel P., Jeffrey W. Herrmann, Peter Sandborn, & Linda C. Schmidt. (2005). Using the Decision Production Systems Approach to Improve Product Development. 52(59). 9300–9300. 1 indexed citations
16.
Fitzgerald, Daniel P., et al.. (2005). Beyond Tools: A Design for Environment Process. International Journal of Performability Engineering. 1(2). 105. 11 indexed citations
17.
18.
Hillman, Craig, et al.. (2000). Assessing the operating reliability of land grid array elastomer sockets. IEEE Transactions on Components and Packaging Technologies. 23(1). 171–176. 15 indexed citations
19.
Sandborn, Peter, et al.. (1995). Tradeoff Analysis and Partitioning in Multiple Board/MCM Systems. 2575. 401. 1 indexed citations
20.
Blakey, P.A., et al.. (1988). On the use of Thornber's augmented drift-diffusion equation for modeling GaAs devices. IEEE Transactions on Electron Devices. 35(11). 1991–1994. 11 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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