Amanda Lenzi

7 papers receiving 248 citations

Peers

Amanda Lenzi
Comparison fields: 5 of 81
  • Ecological Modeling 30
  • Environmental Engineering 63
  • Statistics and Probability 26
  • Global and Planetary Change 52
  • Nature and Landscape Conservation 29
Replace Albrecht Gebhardt with:
Albrecht Gebhardt Austria
Simon Shaw United Kingdom
Jonas Wallin Sweden
Raquel Menezes Portugal
Petruţa C. Caragea United States
Rebecca O’Leary Australia
Gianluca Mastrantonio Italy
Dan Ababei Australia
Barry J. Kronenfeld United States
Jonathan R. Bradley United States
Amanda Lenzi relative to Albrecht Gebhardt Austria Albrecht Gebhardt's profile →
Citations per field
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Albrecht Gebhardt · 1×
Citations per year

Countries citing papers authored by Amanda Lenzi

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Lenzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Amanda Lenzi, 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 Lenzi Line = papers co-authored together Amanda Lenzi links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2018182
2 202330
3 202425
4 20218
5 20204
6 20221
7 20151
8 20221
9 20250

About Amanda Lenzi

Amanda Lenzi is a scholar working on Electrical and Electronic Engineering, Global and Planetary Change, Environmental Engineering, Aerospace Engineering and Molecular Biology, having authored 9 papers that have together received 252 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (4 papers), Soil Geostatistics and Mapping (2 papers), Wind Energy Research and Development (2 papers), Scientific Research and Discoveries (1 paper), demographic modeling and climate adaptation (1 paper), Control Systems and Identification (1 paper), Global Energy and Sustainability Research (1 paper) and Biomedical and Engineering Education (1 paper). The work is most often cited by research in Ecological Modeling (30 citations), Environmental Engineering (63 citations), Statistics and Probability (26 citations), Global and Planetary Change (52 citations) and Nature and Landscape Conservation (29 citations). Amanda Lenzi has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Håvard Rue, Elias Teixeira Krainski, Virgilio Gómez‐Rubio, Haakon Bakka, Daniel Simpson, Finn Lindgren, Daniela Castro‐Camilo, Julie Bessac, Michael L. Stein and Johann Rudi. Their work appears in journals such as Statistical Analysis and Data Mining The ASA Data Science Journal, IEEE Open Access Journal of Power and Energy, The Annals of Applied Statistics, Spatial Statistics and Computational Statistics & Data Analysis.

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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