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.
Energy use in the life cycle of conventional and low-energy buildings: A review article
2006975 citationsIgor Sartori et al.Energy and Buildingsprofile →
Zero Energy Building – A review of definitions and calculation methodologies
2010846 citationsAnna Marszal-Pomianowska, Karsten Voss et al.Energy and Buildingsprofile →
Net zero energy buildings: A consistent definition framework
2012678 citationsIgor Sartori, Assunta Napolitano et al.Energy and Buildingsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Igor Sartori'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 Igor Sartori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Sartori more than expected).
This network shows the impact of papers produced by Igor Sartori. 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 Igor Sartori. The network helps show where Igor Sartori may publish in the future.
Co-authorship network of co-authors of Igor Sartori
This figure shows the co-authorship network connecting the top 25 collaborators of Igor Sartori.
A scholar is included among the top collaborators of Igor Sartori 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 Igor Sartori. Igor Sartori is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sartori, Igor, et al.. (2018). Guidelines on energy system analysis and cost optimality in early design of ZEB. Duo Research Archive (University of Oslo).2 indexed citations
12.
Sartori, Igor, et al.. (2018). Possibilities for Supplying Norwegian Apartment Blocks with 4th Generation District Heating. Duo Research Archive (University of Oslo).2 indexed citations
13.
Sartori, Igor, et al.. (2018). Zero Village Bergen - Energy system analysis. BIBSYS Brage (BIBSYS (Norway)).2 indexed citations
14.
Fufa, Selamawit Mamo, et al.. (2018). THE ZEN DEFINITION – A GUIDELINE FOR THE ZEN PILOT AREAS. Version 1.0. Duo Research Archive (University of Oslo).2 indexed citations
15.
Andresen, Inger, Kristian M. Lien, Thomas Berker, & Igor Sartori. (2017). Greenhouse gas balances in Zero Emission Buildings – Electricity conversion factors revisited. Duo Research Archive (University of Oslo).1 indexed citations
Brattebø, Helge, et al.. (2014). Fremtidig utvikling i energiforbruk og CO2-utslipp for Norges boligmasse. BIBSYS Brage (BIBSYS (Norway)).2 indexed citations
18.
Georges, Laurent, et al.. (2012). INFLUENCE OF USER-BEHAVIOR ON THE PERFORMANCE OF THE BUILDING AND THE ENERGY SUPPLY SYSTEM: INVESTIGATION OF HEATING.4 indexed citations
19.
Salom, Jaume, Joakim Widén, José A. Candanedo, et al.. (2011). Understanding net zero energy buildings: Evaluation of load matching and grid interaction indicators. Building Simulation.115 indexed citations
20.
Sartori, Igor, Assunta Napolitano, Anna Marszal-Pomianowska, et al.. (2010). Proceedings of EuroSun 2010 : International Conference on Solar Heating, Cooling and Buildings.7 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.