Jacob F. Tuttle

757 total citations
20 papers, 580 citations indexed

About

Jacob F. Tuttle is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jacob F. Tuttle has authored 20 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 6 papers in Mechanical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Jacob F. Tuttle's work include Energy Load and Power Forecasting (6 papers), Fault Detection and Control Systems (5 papers) and Advanced Control Systems Optimization (5 papers). Jacob F. Tuttle is often cited by papers focused on Energy Load and Power Forecasting (6 papers), Fault Detection and Control Systems (5 papers) and Advanced Control Systems Optimization (5 papers). Jacob F. Tuttle collaborates with scholars based in United States and Sweden. Jacob F. Tuttle's co-authors include Kody M. Powell, Kevin Ellingwood, K. Rashid, Brian D. Iverson, Seyed Mostafa Safdarnejad, Klas Andersson, Andrew Fry, Kasra Mohammadi, John D. Hedengren and Helga Kovács and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Jacob F. Tuttle

18 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob F. Tuttle United States 11 186 174 159 134 103 20 580
Seyed Mostafa Safdarnejad United States 11 147 0.8× 176 1.0× 155 1.0× 126 0.9× 38 0.4× 15 481
Mingming Gao China 15 172 0.9× 210 1.2× 176 1.1× 341 2.5× 285 2.8× 38 807
M.A. Escalante Soberanis Mexico 15 190 1.0× 124 0.7× 56 0.4× 112 0.8× 76 0.7× 28 585
Aipeng Jiang China 11 68 0.4× 84 0.5× 167 1.1× 108 0.8× 47 0.5× 50 449
Timo Laukkanen Finland 16 187 1.0× 217 1.2× 118 0.7× 169 1.3× 39 0.4× 57 721
Giovanni Petrecca Italy 7 132 0.7× 117 0.7× 55 0.3× 128 1.0× 33 0.3× 23 476
Zherui Ma China 13 81 0.4× 146 0.8× 85 0.5× 425 3.2× 68 0.7× 29 659
M. Hammad Jordan 17 224 1.2× 281 1.6× 38 0.2× 212 1.6× 87 0.8× 59 798
Javier Bonilla Spain 16 371 2.0× 295 1.7× 69 0.4× 123 0.9× 116 1.1× 50 702
Ivan Arsie Italy 23 114 0.6× 222 1.3× 302 1.9× 639 4.8× 37 0.4× 144 1.7k

Countries citing papers authored by Jacob F. Tuttle

Since Specialization
Citations

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

Fields of papers citing papers by Jacob F. Tuttle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob F. Tuttle. 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 Jacob F. Tuttle. The network helps show where Jacob F. Tuttle may publish in the future.

Co-authorship network of co-authors of Jacob F. Tuttle

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob F. Tuttle. A scholar is included among the top collaborators of Jacob F. Tuttle 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 Jacob F. Tuttle. Jacob F. Tuttle 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.
Tuttle, Jacob F., et al.. (2024). Effects of input gradient regularization on neural networks time-series forecasting of thermal power systems. Computers & Chemical Engineering. 189. 108787–108787.
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Montgomery, Scott, Jacob F. Tuttle, Stacey J. Smith, et al.. (2023). Synergistic reduction of SO2 emissions while co-firing biomass with coal in pilot-scale (1.5 MWth) and full-scale (471 MWe) combustors. Fuel. 358. 130191–130191. 10 indexed citations
6.
Tuttle, Jacob F., et al.. (2022). Development of novel dynamic machine learning-based optimization of a coal-fired power plant. Computers & Chemical Engineering. 163. 107848–107848. 20 indexed citations
7.
Tuttle, Jacob F., et al.. (2022). Dynamic machine learning-based optimization algorithm to improve boiler efficiency. Journal of Process Control. 120. 129–149. 14 indexed citations
8.
Tuttle, Jacob F., et al.. (2022). Dynamic energy system modeling using hybrid physics-based and machine learning encoder–decoder models. Energy and AI. 9. 100172–100172. 22 indexed citations
9.
Mohammadi, Kasra, et al.. (2022). A review on the application of machine learning for combustion in power generation applications. Reviews in Chemical Engineering. 39(6). 1027–1059. 4 indexed citations
10.
Tuttle, Jacob F., et al.. (2021). A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling. Applied Energy. 292. 116886–116886. 57 indexed citations
11.
Tuttle, Jacob F., et al.. (2020). A novel dynamic simulation methodology for high temperature packed-bed thermal energy storage with experimental validation. Sustainable Energy Technologies and Assessments. 42. 100888–100888. 19 indexed citations
12.
Tuttle, Jacob F., et al.. (2020). On-line classification of coal combustion quality using nonlinear SVM for improved neural network NOx emission rate prediction. Computers & Chemical Engineering. 141. 106990–106990. 49 indexed citations
13.
Tuttle, Jacob F., et al.. (2020). Real-time optimization of multi-cell industrial evaporative cooling towers using machine learning and particle swarm optimization. Journal of Cleaner Production. 271. 122175–122175. 24 indexed citations
14.
Safdarnejad, Seyed Mostafa, Jacob F. Tuttle, & Kody M. Powell. (2019). Dynamic modeling and optimization of a coal-fired utility boiler to forecast and minimize NOx and CO emissions simultaneously. Computers & Chemical Engineering. 124. 62–79. 70 indexed citations
15.
Safdarnejad, Seyed Mostafa, Jacob F. Tuttle, & Kody M. Powell. (2019). Development of a roadmap for dynamic process intensification by using a dynamic, data-driven optimization approach. Chemical Engineering and Processing - Process Intensification. 140. 100–113. 7 indexed citations
16.
Tuttle, Jacob F. & Kody M. Powell. (2019). Analysis of a thermal generator’s participation in the Western Energy Imbalance Market and the resulting effects on overall performance and emissions. The Electricity Journal. 32(5). 38–46. 15 indexed citations
17.
Tuttle, Jacob F., et al.. (2019). Sustainable NOx emission reduction at a coal-fired power station through the use of online neural network modeling and particle swarm optimization. Control Engineering Practice. 93. 104167–104167. 61 indexed citations
18.
Ellingwood, Kevin, Seyed Mostafa Safdarnejad, Helga Kovács, Jacob F. Tuttle, & Kody M. Powell. (2019). Analysing the benefits of hybridisation and storage in a hybrid solar gas turbine plant. International Journal of Sustainable Energy. 38(10). 937–965. 10 indexed citations
19.
Powell, Kody M., K. Rashid, Kevin Ellingwood, Jacob F. Tuttle, & Brian D. Iverson. (2017). Hybrid concentrated solar thermal power systems: A review. Renewable and Sustainable Energy Reviews. 80. 215–237. 193 indexed citations
20.
Taylor, Robert S., et al.. (2016). Long Term Cement Damage from Pressure Cycling in Hydrocarbon Wells: Novel Method to Detect Permeability Changes along the Length of the Wellbore. 1785–1792. 2 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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Breakdown of academic impact, for papers by Seyed Mostafa Safdarnejad Breakdown of academic impact, for papers by Mingming Gao Breakdown of academic impact, for papers by M.A. Escalante Soberanis Breakdown of academic impact, for papers by Aipeng Jiang Breakdown of academic impact, for papers by Timo Laukkanen Breakdown of academic impact, for papers by Giovanni Petrecca Breakdown of academic impact, for papers by Zherui Ma Breakdown of academic impact, for papers by M. Hammad Breakdown of academic impact, for papers by Javier Bonilla Breakdown of academic impact, for papers by Ivan Arsie
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