Ben Sigrin

1.4k total citations
22 papers, 487 citations indexed

About

Ben Sigrin is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Pollution. According to data from OpenAlex, Ben Sigrin has authored 22 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Renewable Energy, Sustainability and the Environment, 9 papers in Electrical and Electronic Engineering and 8 papers in Pollution. Recurrent topics in Ben Sigrin's work include Energy, Environment, and Transportation Policies (10 papers), Energy and Environment Impacts (8 papers) and Smart Grid Energy Management (7 papers). Ben Sigrin is often cited by papers focused on Energy, Environment, and Transportation Policies (10 papers), Energy and Environment Impacts (8 papers) and Smart Grid Energy Management (7 papers). Ben Sigrin collaborates with scholars based in United States and China. Ben Sigrin's co-authors include Varun Rai, Changgui Dong, Easan Drury, Jacquelyn Pless, Gregory Brinkman, Kimberly S. Wolske, Annika Todd, Robert Margolis, Michael Rossol and James McCall and has published in prestigious journals such as Scientific Reports, Applied Energy and Energy Policy.

In The Last Decade

Ben Sigrin

22 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Sigrin United States 10 238 161 145 132 106 22 487
D. Cale Reeves United States 7 191 0.8× 113 0.7× 123 0.8× 82 0.6× 62 0.6× 9 368
Genevieve Simpson Australia 9 182 0.8× 125 0.8× 135 0.9× 92 0.7× 78 0.7× 12 392
Raphael Sauter United Kingdom 7 166 0.7× 154 1.0× 170 1.2× 145 1.1× 156 1.5× 15 528
Scott A. Robinson United States 6 137 0.6× 125 0.8× 74 0.5× 101 0.8× 89 0.8× 11 399
Chul-Yong Lee South Korea 10 109 0.5× 209 1.3× 139 1.0× 174 1.3× 198 1.9× 30 551
Jacquelyn Pless United States 10 142 0.6× 142 0.9× 67 0.5× 136 1.0× 169 1.6× 18 463
Pranpreya Sriwannawit Sweden 6 224 0.9× 131 0.8× 90 0.6× 54 0.4× 33 0.3× 10 363
Roozbeh Kardooni Malaysia 7 151 0.6× 59 0.4× 123 0.8× 135 1.0× 85 0.8× 7 429
Alexandru Maxim Romania 7 169 0.7× 66 0.4× 69 0.5× 79 0.6× 84 0.8× 16 384
Valeriya Azarova Germany 9 99 0.4× 197 1.2× 128 0.9× 85 0.6× 64 0.6× 15 414

Countries citing papers authored by Ben Sigrin

Since Specialization
Citations

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

Fields of papers citing papers by Ben Sigrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Sigrin

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Sigrin. A scholar is included among the top collaborators of Ben Sigrin 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 Ben Sigrin. Ben Sigrin 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.
Dong, Changgui, Gregory F. Nemet, Xue Gao, et al.. (2023). Machine learning reduces soft costs for residential solar photovoltaics. Scientific Reports. 13(1). 7213–7213. 6 indexed citations
2.
Heleno, Miguel, et al.. (2022). Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice. Applied Energy. 325. 119771–119771. 33 indexed citations
3.
McCabe, Kevin, et al.. (2022). The locational value of distributed energy resources: A parcel-level evaluation of solar and wind potential in New York state. Energy Policy. 166. 112744–112744. 8 indexed citations
4.
Sekar, Ashok, et al.. (2022). Forecasting distributed energy resources adoption for power systems. iScience. 25(6). 104381–104381. 8 indexed citations
5.
Sigrin, Ben, et al.. (2021). The solar influencer next door: Predicting low income solar referrals and leads. Energy Research & Social Science. 86. 102417–102417. 8 indexed citations
6.
Pless, Jacquelyn, Harrison Fell, & Ben Sigrin. (2020). Information Searching in the Residential Solar PV Market. The Energy Journal. 41(4). 255–278. 4 indexed citations
7.
Ramdas, Ashwin, Kelsey Horowitz, & Ben Sigrin. (2019). Quantifying the Relationship Between Higher Photovoltaic Module Efficiency and the Adoption of Distributed Solar. 607–614. 1 indexed citations
8.
Dong, Changgui & Ben Sigrin. (2019). Using willingness to pay to forecast the adoption of solar photovoltaics: A “parameterization + calibration” approach. Energy Policy. 129. 100–110. 32 indexed citations
9.
Wolske, Kimberly S., Annika Todd, Michael Rossol, James McCall, & Ben Sigrin. (2018). Accelerating demand for residential solar photovoltaics: Can simple framing strategies increase consumer interest?. Global Environmental Change. 53. 68–77. 55 indexed citations
10.
Sigrin, Ben, Adam Douglas Henry, Loren Lutzenhiser, et al.. (2017). Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 14 indexed citations
11.
Cole, Wesley, et al.. (2016). Interactions of rooftop PV deployment with the capacity expansion of the bulk power system. Applied Energy. 168. 473–481. 28 indexed citations
12.
Dong, Changgui, Ben Sigrin, & Gregory Brinkman. (2016). Forecasting residential solar photovoltaic deployment in California. Technological Forecasting and Social Change. 117. 251–265. 47 indexed citations
13.
Cole, Wesley, Parthiv Kurup, Maureen Hand, et al.. (2016). 2016 Annual Technology Baseline (ATB). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
14.
Sigrin, Ben, Jacquelyn Pless, & Easan Drury. (2015). Diffusion into new markets: evolving customer segments in the solar photovoltaics market. Environmental Research Letters. 10(8). 84001–84001. 78 indexed citations
15.
Gagnon, Pieter & Ben Sigrin. (2015). Distributed PV Adoption in Maine Through 2021. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
16.
Sigrin, Ben & Easan Drury. (2014). Diffusion into New Markets: Economic Returns Required by Households to Adopt Rooftop Photovoltaics.. National Conference on Artificial Intelligence. 12 indexed citations
17.
Sigrin, Ben, Patrick Sullivan, Eduardo Ibáñez, & Robert Margolis. (2014). Representation of the solar capacity value in the ReEDS capacity expansion model. 1480–1485. 14 indexed citations
18.
Rai, Varun & Ben Sigrin. (2013). Diffusion of Environmentally-Friendly Energy Technologies: Buy vs. Lease Differences in Residential PV Markets. SSRN Electronic Journal. 1 indexed citations
19.
Rai, Varun & Ben Sigrin. (2013). Diffusion of environmentally-friendly energy technologies: buy versus lease differences in residential PV markets. Environmental Research Letters. 8(1). 14022–14022. 127 indexed citations
20.
Sigrin, Ben. (2013). Financial modeling of consumer discount rate in residential solar photovoltaic purchasing decisions. Texas ScholarWorks (Texas Digital Library). 6 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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