Amanda D. Smith

51 papers receiving 2.1k citations

Amanda D. Smith's Hit Papers

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks 2017 · 625 citations
6250+4+8Years since publication200400600

Peers

Amanda D. Smith
Comparison fields: 5 of 53
  • Building and Construction 301
  • Energy Engineering and Power Technology 31
  • Electrical and Electronic Engineering 664
  • Mechanical Engineering 236
  • Renewable Energy, Sustainability and the Environment 65
Replace David Borge-Díez with:
David Borge-Díez Spain
Jaume Salom Spain
Nelson Fumo United States
Rui Jing China
Xiaojun Luo China
Yingjun Ruan China
Lukas G. Swan Canada
Timothy Gordon Walmsley New Zealand
Salvador Acha United Kingdom
Yuehong Lu China
Amanda D. Smith relative to David Borge-Díez Spain David Borge-Díez's profile →
Citations per field
00.5×1.6×
David Borge-Díez · 1×
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 52 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 →
2017625
2
Combined cooling, heating and power: A review of performance improvement and optimization
Hit paper breakdown →
2014342
3 2018166
4 2013104
5 201780
6 201879
7 201378
8 201265
9 201656
10 201949
11 202234
12 201333
13 201732
14 202029
15 201125
16 201923
17 202023
18 202123
19 201021
20 201721

About Amanda D. Smith

Amanda D. Smith is a scholar working on Building and Construction, Environmental Engineering, Water Science and Technology, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (12 papers), Integrated Energy Systems Optimization (6 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers), Environmental Impact and Sustainability (3 papers), Membrane Separation Technologies (2 papers), Energy Efficiency and Management (1 paper), Photovoltaic System Optimization Techniques (1 paper) and Solar Radiation and Photovoltaics (1 paper). The work is most often cited by research in Building and Construction (301 citations), Energy Engineering and Power Technology (31 citations), Electrical and Electronic Engineering (664 citations), Mechanical Engineering (236 citations) and Renewable Energy, Sustainability and the Environment (65 citations). Amanda D. Smith has collaborated with scholars based in United States, New Zealand and Sweden. Frequent co-authors include Aowabin Rahman, Pedro J. Mago, Vivek Srikumar, Thomas T. D. Tran, Heejin Cho, Nelson Fumo, Keunhan Park, Nathalie Voisin, Casey Burleyson and Jennie Rice. Their work appears in journals such as Applied Energy, Sustainable Energy Technologies and Assessments, Energy, Journal of Building Performance Simulation and Joule.

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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