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.
Valuing nature: lessons learned and future research directions
2003546 citationsR. Kerry Turner, Jouni Paavola et al.Ecological Economicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Stavros Georgiou
Since
Specialization
Citations
This map shows the geographic impact of Stavros Georgiou'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 Stavros Georgiou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stavros Georgiou more than expected).
Fields of papers citing papers by Stavros Georgiou
This network shows the impact of papers produced by Stavros Georgiou. 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 Stavros Georgiou. The network helps show where Stavros Georgiou may publish in the future.
Co-authorship network of co-authors of Stavros Georgiou
This figure shows the co-authorship network connecting the top 25 collaborators of Stavros Georgiou.
A scholar is included among the top collaborators of Stavros Georgiou 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 Stavros Georgiou. Stavros Georgiou is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brouwer, Roy, David N. Barton, Ian J. Bateman, et al.. (2009). Economic valuation of environmental and resource costs and benefits in the water framework directive: technical guidelines for practitioners.. ePrints Soton (University of Southampton).21 indexed citations
Turner, R. Kerry, Stavros Georgiou, Rebecca Clark, Roy Brouwer, & Jacob J. Burke. (2004). Economic Valuation of Water Resources. UEA Digital Repository (University of East Anglia).2 indexed citations
10.
Langford, Ian H., R. Kerry Turner, Stavros Georgiou, & Ian J. Bateman. (2004). Environmental decision making and risk management : selected essays. E. Elgar eBooks.1 indexed citations
11.
Turner, Katherine, et al.. (2004). Economic valuation of water resources in agriculture. From the sectoral to a functional perspective of natural resource management.89 indexed citations
12.
Bateman, Ian J., Brett Day, Diane Dupont, & Stavros Georgiou. (2004). Ooh la la: Testing the one-and-one-half bound dichotomous choice elicitation method for robustness to anomales. Econstor (Econstor).1 indexed citations
Turner, R. Kerry, et al.. (2003). Valuing nature: lessons learned and future research directions. Ecological Economics. 46(3). 493–510.546 indexed citations breakdown →
16.
Bateman, Ian J., Phillip J. Cooper, Stavros Georgiou, & Gregory L. Poe. (2001). Visible choice sets and scope sensitivity: An experimental and field test of study design effects upon nested contingent values. Econstor (Econstor).8 indexed citations
Langford, Ian H., Rosie Day, Stavros Georgiou, & Ian J. Bateman. (2000). A COGNITIVE SOCIAL PSYCHOLOGICAL MODEL FOR PREDICTING INDIVIDUAL RISK PERCEPTIONS AND PREFERENCES. OpenGrey (Institut de l'Information Scientifique et Technique).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.