Steve Peterson

620 total citations
25 papers, 370 citations indexed

About

Steve Peterson is a scholar working on Environmental Engineering, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Steve Peterson has authored 25 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 11 papers in Biomedical Engineering and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Steve Peterson's work include Environmental Impact and Sustainability (11 papers), Biofuel production and bioconversion (10 papers) and Global Energy and Sustainability Research (5 papers). Steve Peterson is often cited by papers focused on Environmental Impact and Sustainability (11 papers), Biofuel production and bioconversion (10 papers) and Global Energy and Sustainability Research (5 papers). Steve Peterson collaborates with scholars based in United States, United Kingdom and Qatar. Steve Peterson's co-authors include Brian Bush, Laura Vimmerstedt, Abdellatif A. Mohamed, Girma Biresaw, Mila P. Hojilla‐Evangelista, Daniel Inman, Debra Sandor, James Millington, Hang Xiong and Jeremy Woods and has published in prestigious journals such as Energy & Environmental Science, PLoS ONE and Energy Policy.

In The Last Decade

Steve Peterson

25 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Peterson United States 12 90 86 61 53 43 25 370
Saeed Firouzi Iran 14 52 0.6× 135 1.6× 46 0.8× 17 0.3× 30 0.7× 45 548
Morteza Almassi Iran 13 237 2.6× 81 0.9× 66 1.1× 17 0.3× 11 0.3× 52 697
Maria Virginia Vilariño United States 4 34 0.4× 77 0.9× 124 2.0× 62 1.2× 21 0.5× 4 453
Anna Ekman Sweden 9 245 2.7× 115 1.3× 30 0.5× 11 0.2× 20 0.5× 15 454
Md. Kamrul Hassan Bangladesh 12 123 1.4× 24 0.3× 41 0.7× 24 0.5× 9 0.2× 53 400
Stefan Höltinger Austria 7 89 1.0× 30 0.3× 87 1.4× 75 1.4× 114 2.7× 10 507
Philipp Adler Germany 9 146 1.6× 38 0.4× 121 2.0× 8 0.2× 23 0.5× 11 405
Szymon Głowacki Poland 13 103 1.1× 25 0.3× 106 1.7× 10 0.2× 19 0.4× 67 482
Nick A. Owen United Kingdom 6 106 1.2× 26 0.3× 66 1.1× 52 1.0× 20 0.5× 7 457
M.I. Alfa Nigeria 11 111 1.2× 31 0.4× 57 0.9× 27 0.5× 12 0.3× 21 509

Countries citing papers authored by Steve Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Steve Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Peterson. A scholar is included among the top collaborators of Steve Peterson 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 Steve Peterson. Steve Peterson 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.
Wiatrowski, Matthew, et al.. (2024). Algae to HEFA: Economics and potential deployment in the United States. Biofuels Bioproducts and Biorefining. 18(5). 1121–1136. 4 indexed citations
2.
Clark, Christopher M., et al.. (2024). Estimated attribution of the RFS program on soybean biodiesel in the U.S. using the bioenergy scenario model. Energy Policy. 192. 114250–114250. 5 indexed citations
3.
Peterson, Steve, et al.. (2023). Towards fine-grained object-level damage assessment during disasters. Frontiers in Earth Science. 11. 2 indexed citations
4.
Vimmerstedt, Laura, Candelaria Bergero, Marshall Wise, et al.. (2023). Deep decarbonization and U.S. biofuels production: a coordinated analysis with a detailed structural model and an integrated multisectoral model. Environmental Research Letters. 18(10). 104013–104013. 1 indexed citations
5.
Newes, Emily, et al.. (2021). Ethanol production in the United States: The roles of policy, price, and demand. Energy Policy. 161. 112713–112713. 10 indexed citations
6.
Lucia, Lorenzo Di, Steve Peterson, Eva Sevigné‐Itoiz, et al.. (2020). Using participatory system dynamics modelling to quantify indirect land use changes of biofuel projects. Journal of Land Use Science. 16(1). 111–128. 4 indexed citations
7.
Dunn, Jennifer B., Emily Newes, Hao Cai, et al.. (2020). Energy, economic, and environmental benefits assessment of co-optimized engines and bio-blendstocks. Energy & Environmental Science. 13(8). 2262–2274. 19 indexed citations
8.
Peterson, Steve, Keri K. Stephens, Hemant Purohit, & Amanda Hughes. (2019). When Official Systems Overload: A Framework for Finding Social Media Calls for Help during Evacuations.. ISCRAM. 6 indexed citations
9.
Lucia, Lorenzo Di, Eva Sevigné‐Itoiz, Steve Peterson, Ausilio Bauen, & Raphael Slade. (2019). Project level assessment of indirect land use changes arising from biofuel production. GCB Bioenergy. 11(11). 1361–1375. 8 indexed citations
10.
Peterson, Steve, et al.. (2018). Getting Disaster Data Right: A Call for Real-time Research in Disaster Response.. ISCRAM. 1 indexed citations
12.
Millington, James, Hang Xiong, Steve Peterson, & Jeremy Woods. (2017). Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use. Land. 6(3). 56–56. 33 indexed citations
13.
Jadun, Paige, Laura Vimmerstedt, Brian Bush, Daniel Inman, & Steve Peterson. (2017). Application of a variance‐based sensitivity analysis method to the Biomass Scenario Learning Model. System Dynamics Review. 33(3-4). 311–335. 15 indexed citations
14.
Kenar, James A., et al.. (2015). Formation of inclusion complexes between high amylose starch and octadecyl ferulate via steam jet cooking. Carbohydrate Polymers. 140. 246–252. 28 indexed citations
15.
Vimmerstedt, Laura, Brian Bush, & Steve Peterson. (2012). Ethanol Distribution, Dispensing, and Use: Analysis of a Portion of the Biomass-to-Biofuels Supply Chain Using System Dynamics. PLoS ONE. 7(5). e35082–e35082. 35 indexed citations
17.
Peterson, Steve, et al.. (2011). A Community-Based Systems Learning Approach to Understanding Youth Violence in Boston. Progress in community health partnerships. 5(1). 67–75. 19 indexed citations
18.
Solan, David, et al.. (2010). Economic and Employment Impacts of Small Modular Nuclear Reactors. SSRN Electronic Journal. 5 indexed citations
19.
Bush, Brian, Michael C. Duffy, Debra Sandor, & Steve Peterson. (2008). Using system dynamics to model the transition to biofuels in the United States. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 22 indexed citations
20.
Peterson, Steve, et al.. (1997). Strategic Planning at a Government Laboratory: Lawrence Livermore National Laboratory Technical Information Department's Experience with Planning.. Technical Communication: Journal of the Society for Technical Communication. 44(4). 1 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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