John E. Seem

1.9k total citations
68 papers, 1.5k citations indexed

About

John E. Seem is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, John E. Seem has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Control and Systems Engineering, 19 papers in Mechanical Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in John E. Seem's work include Extremum Seeking Control Systems (29 papers), Building Energy and Comfort Optimization (14 papers) and Refrigeration and Air Conditioning Technologies (14 papers). John E. Seem is often cited by papers focused on Extremum Seeking Control Systems (29 papers), Building Energy and Comfort Optimization (14 papers) and Refrigeration and Air Conditioning Technologies (14 papers). John E. Seem collaborates with scholars based in United States, China and Denmark. John E. Seem's co-authors include Yaoyu Li, Lei Peng, John M. House, Li Xiao, Zhongzhou Yang, William A. Beckman, S.A. Klein, J. W. Mitchell, Pengfei Li and Bin Hu and has published in prestigious journals such as Automatica, Applied Energy and Renewable Energy.

In The Last Decade

John E. Seem

68 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Seem United States 20 591 561 483 386 377 68 1.5k
Rogelio Luck United States 21 490 0.8× 718 1.3× 714 1.5× 324 0.8× 640 1.7× 65 2.0k
John M. House United States 17 675 1.1× 649 1.2× 224 0.5× 158 0.4× 395 1.0× 56 1.5k
Timothy I. Salsbury United States 20 928 1.6× 902 1.6× 424 0.9× 232 0.6× 431 1.1× 68 1.7k
Brandon Hencey United States 16 589 1.0× 732 1.3× 404 0.8× 155 0.4× 191 0.5× 45 1.2k
Donghun Kim United States 19 462 0.8× 1.1k 1.9× 522 1.1× 268 0.7× 278 0.7× 75 1.5k
G.S. Stavrakakis Greece 17 497 0.8× 423 0.8× 862 1.8× 118 0.3× 169 0.4× 40 1.5k
Ján Drgoňa United States 14 574 1.0× 897 1.6× 482 1.0× 263 0.7× 201 0.5× 46 1.4k
Xin Jin United States 20 344 0.6× 294 0.5× 452 0.9× 122 0.3× 104 0.3× 75 1.2k
Veronica Adetola United States 20 959 1.6× 310 0.6× 235 0.5× 88 0.2× 142 0.4× 71 1.4k
Wenjian Cai Singapore 26 1.2k 2.0× 239 0.4× 292 0.6× 55 0.1× 532 1.4× 66 1.9k

Countries citing papers authored by John E. Seem

Since Specialization
Citations

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

Fields of papers citing papers by John E. Seem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Seem. 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 John E. Seem. The network helps show where John E. Seem may publish in the future.

Co-authorship network of co-authors of John E. Seem

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Seem. A scholar is included among the top collaborators of John E. Seem 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 John E. Seem. John E. Seem 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.
Quan, Changqin, Yaoyu Li, & John E. Seem. (2015). Dual-loop self-optimizing robust control of wind power generation with Doubly-Fed Induction Generator. ISA Transactions. 58. 409–420. 8 indexed citations
2.
Li, Yaoyu, et al.. (2015). A Multivariable Newton-Based Extremum Seeking Control for Condenser Water Loop Optimization of Chilled-Water Plant. Journal of Dynamic Systems Measurement and Control. 137(11). 21 indexed citations
3.
Hu, Bin, et al.. (2014). Extremum Seeking Control of Hybrid Ground Source Heat Pump System. Purdue e-Pubs (Purdue University System). 9 indexed citations
4.
Li, Yaoyu, et al.. (2014). Multi-variable Extremum Seeking Control for Mini-split Air-conditioning System. Purdue e-Pubs (Purdue University System). 49(59). 6580–3. 14 indexed citations
5.
Li, Yaoyu, et al.. (2013). Recent advances in dynamic modeling of HVAC equipment. Part 2: Modelica-based modeling. HVAC&R Research. 20(1). 150–161. 25 indexed citations
6.
Xiao, Li, Yaoyu Li, & John E. Seem. (2012). Maximum Power Point Tracking for Photovoltaic System Using Adaptive Extremum Seeking Control. IEEE Transactions on Control Systems Technology. 21(6). 2315–2322. 52 indexed citations
7.
Yang, Zhongzhou, Yaoyu Li, & John E. Seem. (2012). Load Reduction of Wind Turbines under Wake Meandering with Model Predictive Control for Individual Pitching. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 4 indexed citations
8.
Yang, Zhongzhou, Yaoyu Li, & John E. Seem. (2011). Individual Pitch Control for Wind Turbine Load Reduction Including Wake Modeling. Wind Engineering. 35(6). 715–738. 9 indexed citations
9.
Li, Pengfei, Yaoyu Li, & John E. Seem. (2010). DYNAMIC MODELING AND CONSISTENT INITIALIZATION OF SYSTEM OF DIFFERENTIAL-ALGEBRAIC EQUATIONS FOR CENTRIFUGAL CHILLERS. Proceedings of SimBuild. 4(1). 386–393. 3 indexed citations
10.
Quan, Changqin, et al.. (2010). Self-Optimizing Robust Control of Wind Power Generation With Doubly-Fed Induction Generator. 929–936. 8 indexed citations
11.
Li, Pengfei, Yaoyu Li, & John E. Seem. (2010). Dynamic Modeling and Stability Analysis of Water-Cooled Centrifugal Chillers. 703–710. 5 indexed citations
12.
Li, Pengfei, Yaoyu Li, & John E. Seem. (2010). Modelica Based Dynamic Modeling of Water-Cooled Centrifugal Chillers. Purdue e-Pubs (Purdue University System). 6 indexed citations
13.
Seem, John E. & John M. House. (2009). Integrated Control and Fault Detection of Air-Handling Units. HVAC&R Research. 15(1). 25–55. 16 indexed citations
14.
Seem, John E.. (2006). AN IMPROVED PATTERN RECOGNITION ADAPTIVE CONTROLLER. IFAC Proceedings Volumes. 39(19). 117–122. 4 indexed citations
15.
Seem, John E.. (2006). Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy and Buildings. 39(1). 52–58. 157 indexed citations
16.
Seem, John E., et al.. (1999). On-Line Monitoring and Fault Detection of Control System Performance | NIST. ASHRAE journal. 41(7). 8 indexed citations
17.
Seem, John E., Cheol Park, & John M. House. (1999). A New Sequencing Control Strategy for Air-Handling Units. HVAC&R Research. 5(1). 35–58. 32 indexed citations
18.
Seem, John E., S.A. Klein, William A. Beckman, & J. W. Mitchell. (1990). Model Reduction of Transfer Functions Using a Dominant Root Method. Journal of Heat Transfer. 112(3). 547–554. 7 indexed citations
19.
Seem, John E., et al.. (1989). Algorithms for predicting recovery time from night setback. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 44(5). 319–29. 19 indexed citations
20.
Seem, John E.. (1987). Modeling of Heat Transfer in Buildings. Minds at UW (University of Wisconsin). 33(2). 146–148. 114 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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