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.
Integrated environmental modeling: A vision and roadmap for the future
2012354 citationsGerard F. Laniak, Jonathan L. Goodall et al.Environmental Modelling & Softwareprofile →
Essential biodiversity variables for mapping and monitoring species populations
2019306 citationsWalter Jetz, Mélodie A. McGeoch et al.Nature Ecology & Evolutionprofile →
Environmental science: Agree on biodiversity metrics to track from space
2015302 citationsAndrew K. Skidmore, Nathalie Pettorelli et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Gary N. Geller
Since
Specialization
Citations
This map shows the geographic impact of Gary N. Geller'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 Gary N. Geller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary N. Geller more than expected).
This network shows the impact of papers produced by Gary N. Geller. 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 Gary N. Geller. The network helps show where Gary N. Geller may publish in the future.
Co-authorship network of co-authors of Gary N. Geller
This figure shows the co-authorship network connecting the top 25 collaborators of Gary N. Geller.
A scholar is included among the top collaborators of Gary N. Geller 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 Gary N. Geller. Gary N. Geller is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jetz, Walter, Mélodie A. McGeoch, Robert Guralnick, et al.. (2019). Essential biodiversity variables for mapping and monitoring species populations. Nature Ecology & Evolution. 3(4). 539–551.306 indexed citations breakdown →
3.
Leidner, Allison K., Andrew K. Skidmore, Woody Turner, & Gary N. Geller. (2017). Essential Biodiversity Variables: A framework for communication between the biodiversity community and space agencies. AGUFM. 2017.
Strauch, Adrian, Gary N. Geller, Ania Grobicki, et al.. (2016). Towards a Global Wetland Observation System: The Geo-Wetlands Initiative. 740. 118.3 indexed citations
6.
Skidmore, Andrew K., Nathalie Pettorelli, Nicholas C. Coops, et al.. (2015). Environmental science: Agree on biodiversity metrics to track from space. Nature. 523(7561). 403–405.302 indexed citations breakdown →
Laniak, Gerard F., Jonathan L. Goodall, Alexey Voinov, et al.. (2012). Integrated environmental modeling: A vision and roadmap for the future. Environmental Modelling & Software. 39. 3–23.354 indexed citations breakdown →
Dubois, Grégoire, Stephen Peedell, Andrew James Hartley, et al.. (2011). eHabitat: A Contribution to the Model Web for Habitat Assessments and Ecological Forecasting. Joint Research Centre (European Commission).12 indexed citations
11.
Geller, Gary N.. (2010). The ecological model web concept: A consultative infrastructure for researchers and decision makers using a Service Oriented Architecture. EGUGA. 7705.2 indexed citations
12.
Geller, Gary N., et al.. (2009). Remote Sensing and GIS for Water Resource Decision Making. AGUFM. 2009.1 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.