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.
Multi-level governance and power in climate change policy networks
2018244 citationsMonica Di Gregorio, Leandra Fatorelli et al.Global Environmental Changeprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of E. Pramova'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 E. Pramova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Pramova more than expected).
This network shows the impact of papers produced by E. Pramova. 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 E. Pramova. The network helps show where E. Pramova may publish in the future.
Co-authorship network of co-authors of E. Pramova
This figure shows the co-authorship network connecting the top 25 collaborators of E. Pramova.
A scholar is included among the top collaborators of E. Pramova 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 E. Pramova. E. Pramova is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gregorio, Monica Di, Leandra Fatorelli, Jouni Paavola, et al.. (2018). Multi-level governance and power in climate change policy networks. Global Environmental Change. 54. 64–77.244 indexed citations breakdown →
8.
Gregorio, Monica Di, E. Pramova, Leandra Fatorelli, et al.. (2018). Connecting the policy dots: linking adaptation, mitigation and sustainable development for climate-resilient land use planning. Agritrop (Cirad).
9.
Gregorio, Monica Di, Leandra Fatorelli, E. Pramova, et al.. (2016). Integrating mitigation and adaptation in climate and land use policies in Brazil: a policy document analysis. Agritrop (Cirad).12 indexed citations
Pramova, E., Henry Neufeldt, Polly Ericksen, et al.. (2015). A Monitoring Instrument for Resilience. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 20.5 indexed citations
Dave, Radhika, et al.. (2012). Principles and guidelines for integrating ecosystem-based approaches to adaptation in project and policy design. IUCN eBooks.2 indexed citations
Locatelli, Bruno, E. Pramova, & A. Russell. (2012). Using forests to enhance resilience to climate change : what do we know about how forests can contribute to adaptation?. 1–45.3 indexed citations
18.
Dave, Radhika, Robert L. Munroe, Judy Oglethorpe, et al.. (2011). Draft principles and guidelines for integrating ecosystem-based approaches to adaptation in project and policy design: A discussion document.37 indexed citations
19.
Pramova, E. & Bruno Locatelli. (2011). Cancn agreements: Historic step forward or rushed deal?. 307(1).
20.
Pramova, E., et al.. (2010). Ecosystem-based adaptation in the National Adaptation Programmes of Action (NAPAs).2 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.