Costas J. Spanos
Impact in
- Building and Construction top 0.2%
- Building Energy and Comfort Optimization
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- Industrial Vision Systems and Defect Detection
Papers in
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- Industrial Vision Systems and Defect Detection 41
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- Advanced Statistical Process Monitoring 25
Costas J. Spanos
277 papers receiving 7.4k citations
Peers
Comparison fields: 5 of 145
- Building and Construction 1.5k
- Industrial and Manufacturing Engineering 783
- Electrical and Electronic Engineering 4.3k
- Control and Systems Engineering 1.6k
- Hardware and Architecture 405
Countries citing papers authored by Costas J. Spanos
This map shows the geographic impact of Costas J. Spanos'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 Costas J. Spanos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Costas J. Spanos more than expected).
Fields of papers citing papers by Costas J. Spanos
This network shows the impact of papers produced by Costas J. Spanos. 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 Costas J. Spanos. The network helps show where Costas J. Spanos may publish in the future.
Co-authors
The 25 scholars most cited alongside Costas J. Spanos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 30 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2019 | 314 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 15 | |
| 7 | 2018 | 63 | |
| 8 | 2018 | 28 | |
| 9 | 2018 | 92 | |
| 10 | 2017 | 113 | |
| 11 | Causal meets Submodular: Subset Selection with Directed Information | 2016 | 28 |
| 12 | 2015 | 11 | |
| 13 | Inverse Reinforcement Learning via Deep Gaussian Process | 2015 | 2 |
| 14 | 2015 | 37 | |
| 15 | 2015 | 1 | |
| 16 | 2013 | 38 | |
| 17 | Critical dimension sensitivity to post-exposure bake temperaturevariation in EUV photoresists | 2005 | 4 |
| 18 | 2004 | 2 | |
| 19 | 2003 | 16 | |
| 20 | 1989 | 6 |
About Costas J. Spanos
Costas J. Spanos is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty, Building and Construction, Hardware and Architecture and Electrical and Electronic Engineering, having authored 295 papers that have together received 7.7k indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (50 papers), Smart Grid Energy Management (47 papers), Building Energy and Comfort Optimization (43 papers), Industrial Vision Systems and Defect Detection (41 papers), Indoor and Outdoor Localization Technologies (29 papers), Fault Detection and Control Systems (27 papers), Advanced Statistical Process Monitoring (25 papers) and VLSI and Analog Circuit Testing (22 papers). The work is most often cited by research in Building and Construction (1.5k citations), Industrial and Manufacturing Engineering (783 citations), Electrical and Electronic Engineering (4.3k citations), Control and Systems Engineering (1.6k citations) and Hardware and Architecture (405 citations). Costas J. Spanos has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Yuxun Zhou, Han Zou, Guoqiang Hu, Ming Jin, Lihua Xie, Jianfei Yang, Hao Jiang, Ruoxi Jia, Ioannis C. Konstantakopoulos and Seth R. Sanders. Their work appears in journals such as IEEE Transactions on Semiconductor Manufacturing, Energy and Buildings, Applied Energy, IEEE Internet of Things Journal and IEEE Transactions on Automation Science and Engineering.
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.