Michael E. Webber

242 papers receiving 8.1k citations

Michael E. Webber's Hit Papers

Cascading risks: Understanding the 2021 winter blackout in Texas 2021 · 403 citations
4030+2+5Years since publication100200300400

Peers

Michael E. Webber
Comparison fields: 5 of 162
  • Energy Engineering and Power Technology 784
  • Water Science and Technology 1.7k
  • Renewable Energy, Sustainability and the Environment 1.5k
  • Pollution 906
  • Building and Construction 984
Replace Francisco Manzano‐Agugliaro with:
Francisco Manzano‐Agugliaro Spain
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Citations per year

Countries citing papers authored by Michael E. Webber

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Webber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael E. Webber, 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 Michael E. Webber Line = papers co-authored together Michael E. Webber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 249 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On-Line Building Energy Optimization Using Deep Reinforcement Learning
Hit paper breakdown →
2018476
2
Cascading risks: Understanding the 2021 winter blackout in Texas
Hit paper breakdown →
2021403
3 2010252
4 2014246
5 2019241
6 2017227
7 2011202
8 2012195
9 2008194
10 2010171
11 2008169
12 2001127
13 2003118
14 2019117
15 1993110
16 2000109
17 2020102
18 202398
19 200890
20 201288

About Michael E. Webber

Michael E. Webber is a scholar working on Electrical and Electronic Engineering, Water Science and Technology, Renewable Energy, Sustainability and the Environment, Pollution and Building and Construction, having authored 249 papers that have together received 8.5k indexed citations. Recurring topics across this work include Water-Energy-Food Nexus Studies (64 papers), Smart Grid Energy Management (34 papers), Energy and Environment Impacts (30 papers), Building Energy and Comfort Optimization (27 papers), Atmospheric and Environmental Gas Dynamics (25 papers), Integrated Energy Systems Optimization (23 papers), Water resources management and optimization (23 papers) and Hybrid Renewable Energy Systems (22 papers). The work is most often cited by research in Energy Engineering and Power Technology (784 citations), Water Science and Technology (1.7k citations), Renewable Energy, Sustainability and the Environment (1.5k citations), Pollution (906 citations) and Building and Construction (984 citations). Michael E. Webber has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Joshua D. Rhodes, Ashlynn S. Stillwell, Carey W. King, Robert L. Fares, Amanda Cuéllar, Kelly T. Sanders, C. Kumar N. Patel, Michael Pushkarsky, Stuart Cohen and Emily Grubert. Their work appears in journals such as Environmental Research Letters, Applied Energy, Energy, Energy and Buildings and Environmental Science & Technology.

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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