Amanda D. Smith

50 papers receiving 2.0k citations

Amanda D. Smith's Hit Papers

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks 2017 · 621 citations
6210+4+8Years since publication200400600

Peers

Amanda D. Smith
Comparison fields: 5 of 102
  • Energy Engineering and Power Technology 192
  • Building and Construction 678
  • Renewable Energy, Sustainability and the Environment 455
  • Environmental Engineering 295
  • Electrical and Electronic Engineering 1.1k
Replace Yingjun Ruan with:
Yingjun Ruan China
Luiz Machado Brazil
Nelson Fumo United States
Kun Yu Yang China
Salvador Acha United Kingdom
Pervez Hameed Shaikh Pakistan
Yuehong Lu China
Giuseppina Ciulla Italy
Hongbo Ren China
Peder Bacher Denmark
Amanda D. Smith relative to Yingjun Ruan China Yingjun Ruan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amanda D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Amanda D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda D. Smith. 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 Amanda D. Smith. The network helps show where Amanda D. Smith may publish in the future.

Co-authors

The 25 scholars most cited alongside Amanda D. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amanda D. Smith Line = papers co-authored together Amanda D. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
Hit paper breakdown →
2017621
2
Combined cooling, heating and power: A review of performance improvement and optimization
Hit paper breakdown →
2014340
3 2018165
4 2013104
5 201779
6 201878
7 201378
8 201265
9 201657
10 201947
11 202233
12 201333
13 201732
14 202029
15 202024
16 201124
17 202123
18 201923
19 202021
20 201021

About Amanda D. Smith

Amanda D. Smith is a scholar working on Building and Construction, Renewable Energy, Sustainability and the Environment, Environmental Engineering, Water Science and Technology and Electrical and Electronic Engineering, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (24 papers), Integrated Energy Systems Optimization (12 papers), Energy Efficiency and Management (9 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (8 papers), Smart Grid Energy Management (8 papers), Wind and Air Flow Studies (7 papers), Refrigeration and Air Conditioning Technologies (5 papers) and Solar Thermal and Photovoltaic Systems (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (192 citations), Building and Construction (678 citations), Renewable Energy, Sustainability and the Environment (455 citations), Environmental Engineering (295 citations) and Electrical and Electronic Engineering (1.1k citations). Amanda D. Smith has collaborated with scholars based in United States, Sweden and New Zealand. Frequent co-authors include Aowabin Rahman, Pedro J. Mago, Vivek Srikumar, Thomas T. D. Tran, Heejin Cho, Nelson Fumo, Keunhan Park, Jennie Rice, Casey Burleyson and Nathalie Voisin. Their work appears in journals such as Applied Energy, Sustainable Energy Technologies and Assessments, Energy and Buildings, Energy and Journal of Building Performance Simulation.

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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