Jay Burch

717 citations
25 papers · 478 · h-index 12

Impact in

Papers in

Jay Burch

25 papers receiving 439 citations

Peers

Jay Burch
Comparison fields: 5 of 65
  • Renewable Energy, Sustainability and the Environment 188
  • Building and Construction 115
  • Water Science and Technology 100
  • Mechanical Engineering 201
  • Energy Engineering and Power Technology 9
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Citations per year

Countries citing papers authored by Jay Burch

Since Specialization
Citations

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

Fields of papers citing papers by Jay Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Burch. 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 Jay Burch. The network helps show where Jay Burch may publish in the future.

Co-authors

The 20 scholars most cited alongside Jay Burch, 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 Jay Burch Line = papers co-authored together Jay Burch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199889
2 200751
3 201049
4
Tool for Generating Realistic Residential Hot Water Event Schedules
201043
5 200934
6 201131
7 201031
8
TOWARDS DEVELOPMENT OF AN ALGORITHM FOR MAINS WATER TEMPERATURE
200723
9 201222
10 200420
11 200215
12 200112
13
Empirical validation of building energy-analysis simulation programs: a status report
198211
14 200310
15 20157
16
USING RATINGS DATA TO DERIVE SIMULATION-MODEL INPUTS FOR STORAGE-TANK WATER HEATERS
20047
17 20105
18 20114
19 20094
20 20014

About Jay Burch

Jay Burch is a scholar working on Renewable Energy, Sustainability and the Environment, Mechanical Engineering, Building and Construction, Civil and Structural Engineering and Artificial Intelligence, having authored 25 papers that have together received 478 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (11 papers), Solar Thermal and Photovoltaic Systems (10 papers), Heat Transfer and Optimization (8 papers), Adsorption and Cooling Systems (5 papers), Water Systems and Optimization (4 papers), Solar Radiation and Photovoltaics (3 papers), Solar-Powered Water Purification Methods (3 papers) and Water-Energy-Food Nexus Studies (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (188 citations), Building and Construction (115 citations), Water Science and Technology (100 citations), Mechanical Engineering (201 citations) and Energy Engineering and Power Technology (9 citations). Jay Burch has collaborated with scholars based in United States. Frequent co-authors include Karen E. Thomas, Jason Woods, John Pellegrino, Robert Hendron, Eric Kozubal, Craig Christensen, Jane H. Davidson, R. Judkoff, Jeff Thornton and Moncef Krarti. Their work appears in journals such as Journal of Solar Energy Engineering, Solar Energy, Journal of Membrane Science, Energy Procedia and Proceedings of SimBuild.

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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