Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Methods and tools to evaluate the availability of renewable energy sources
2010329 citationsAthanasios Angelis-Dimakis, Markus Biberacher et al.Renewable and Sustainable Energy Reviewsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Sabine Gadocha
Since
Specialization
Citations
This map shows the geographic impact of Sabine Gadocha'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 Sabine Gadocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Gadocha more than expected).
This network shows the impact of papers produced by Sabine Gadocha. 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 Sabine Gadocha. The network helps show where Sabine Gadocha may publish in the future.
Co-authorship network of co-authors of Sabine Gadocha
This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Gadocha.
A scholar is included among the top collaborators of Sabine Gadocha 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 Sabine Gadocha. Sabine Gadocha is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Biberacher, Markus, Sabine Gadocha, & Oscar van Vliet. (2013). Global Energy System Modelling linked to spatial data with focus on renewable energy resources – a case study. EnviroInfo. 47–54.1 indexed citations
6.
Faber, A., Markus Biberacher, Sabine Gadocha, & Magdalena Borzęcka. (2013). Biomass supply for co-firing in main-network power stations in Poland.3 indexed citations
Angelis-Dimakis, Athanasios, Markus Biberacher, Javier Domínguez, et al.. (2010). Methods and tools to evaluate the availability of renewable energy sources. Renewable and Sustainable Energy Reviews. 15(2). 1182–1200.329 indexed citations breakdown →
9.
Biberacher, Markus, et al.. (2008). GIS based Model to optimize possible self sustaining regions in the context of a renewable energy supply. ScholarsArchive (Brigham Young University).14 indexed citations
10.
Blaschke, Thomas, et al.. (2008). Integrated energy spatial planning: “spatializing” policy decision support. 284–292.2 indexed citations
11.
Blaschke, Thomas, et al.. (2008). Virtual Power Plants: Spatial Energy Models in Times of Climate Change. 61–66.4 indexed citations
12.
Biberacher, Markus, et al.. (2008). Implementation of a GEOdatabase to administrate global energy resources. ScholarsArchive (Brigham Young University).5 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.